From 9f986cf938a9c0be55878803c4924e4d9121ff1f Mon Sep 17 00:00:00 2001 From: Rujikorn Charakorn Date: Tue, 27 May 2025 21:18:15 +0900 Subject: [PATCH] rearrange + move to uv (#1) --- .gitignore | 1 + .pre-commit-config.yaml | 21 +- data/raw_datasets/generate_data.py | 2 - data/raw_datasets/generate_data_big.py | 2 - dl_fineweb_edu.py | 39 - src/ctx_to_lora/eval.py => eval.py | 34 +- generate_fw_edu_qa_vllm.py | 236 - generate_fw_qa.py | 166 - generate_fw_qa_vllm.py | 231 - generate_negative_natural_questions.py | 44 - generate_one_big_fw_qa_req.py | 22 - generate_qa_parallel.py | 495 -- generate_qa_parallel_vllm.py | 516 -- icae_v2/fine_tuned_inference.py | 8 +- icae_v2/instruction_finetune.py | 7 +- icae_v2/modeling_icae_multi_span.py | 32 +- icae_v2/pretrain.py | 12 +- icae_v2/pretrained_inference.py | 6 +- icae_v2/training_utils.py | 11 +- install.sh | 25 +- intx_sft.py | 365 +- post_process_fw_qa.py | 216 - post_process_parallel_qa.py | 212 - process_automathtext_arxiv.py | 92 - process_automathtext_code_python.py | 93 - process_automathtext_web.py | 92 - process_codeparrot_qa.py | 90 - process_fineweb.py | 39 - process_openphi_prog.py | 91 - pyproject.toml | 30 +- requirements.txt | 13 - run.sh | 9 - .../run_lm_eval.py => run_lm_eval.py | 19 +- setup.py | 2 +- src/ctx_to_lora/configs.py | 51 +- src/ctx_to_lora/data_definitions.py | 373 -- src/ctx_to_lora/data_utils.py | 980 ---- src/ctx_to_lora/hooks.py | 22 +- src/ctx_to_lora/metrics.py | 89 + src/ctx_to_lora/model_loading.py | 69 +- .../{eval_utils.py => modeling/__init__.py} | 0 src/ctx_to_lora/modeling/aggregator.py | 234 + src/ctx_to_lora/modeling/ctx_encoder.py | 65 + .../hypernet.py} | 1045 +--- .../idefics2.py} | 57 +- src/ctx_to_lora/pooling.py | 9 +- src/ctx_to_lora/self_generate_data.py | 5 - .../{training_utils.py => trainer.py} | 99 +- src/ctx_to_lora/utils.py | 27 +- uv.lock | 4257 +++++++++++++++++ watcher.py | 22 +- webui/app.py | 35 +- 52 files changed, 5114 insertions(+), 5598 deletions(-) delete mode 100644 dl_fineweb_edu.py rename src/ctx_to_lora/eval.py => eval.py (98%) delete mode 100644 generate_fw_edu_qa_vllm.py delete mode 100644 generate_fw_qa.py delete mode 100644 generate_fw_qa_vllm.py delete mode 100644 generate_negative_natural_questions.py delete mode 100644 generate_one_big_fw_qa_req.py delete mode 100644 generate_qa_parallel.py delete mode 100644 generate_qa_parallel_vllm.py delete mode 100644 post_process_fw_qa.py delete mode 100644 post_process_parallel_qa.py delete mode 100644 process_automathtext_arxiv.py delete mode 100644 process_automathtext_code_python.py delete mode 100644 process_automathtext_web.py delete mode 100644 process_codeparrot_qa.py delete mode 100644 process_fineweb.py delete mode 100644 process_openphi_prog.py delete mode 100644 requirements.txt delete mode 100755 run.sh rename src/ctx_to_lora/run_lm_eval.py => run_lm_eval.py (97%) delete mode 100644 src/ctx_to_lora/data_definitions.py delete mode 100644 src/ctx_to_lora/data_utils.py create mode 100644 src/ctx_to_lora/metrics.py rename src/ctx_to_lora/{eval_utils.py => modeling/__init__.py} (100%) create mode 100644 src/ctx_to_lora/modeling/aggregator.py create mode 100644 src/ctx_to_lora/modeling/ctx_encoder.py rename src/ctx_to_lora/{modeling_utils.py => modeling/hypernet.py} (53%) rename src/ctx_to_lora/{modeling_idefics2.py => modeling/idefics2.py} (94%) delete mode 100644 src/ctx_to_lora/self_generate_data.py rename src/ctx_to_lora/{training_utils.py => trainer.py} (58%) create mode 100644 uv.lock diff --git a/.gitignore b/.gitignore index 9b6be1e..e726af1 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,4 @@ +.venv/ .cursorrules tmp/ openai_batches/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index dd27b51..4b4f0ec 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,17 +1,24 @@ repos: - repo: https://github.com/asottile/pyupgrade - rev: v2.31.1 + rev: v3.20.0 hooks: - id: pyupgrade args: - - --py39-plus + - --py310-plus + - repo: https://github.com/astral-sh/ruff-pre-commit + # Ruff version. + rev: v0.11.10 + hooks: + # Run the linter. + - id: ruff + types_or: [python, pyi] + args: [--fix] + # Run the formatter. + - id: ruff-format + types_or: [python, pyi] - repo: https://github.com/PyCQA/isort - rev: 5.12.0 + rev: 6.0.1 hooks: - id: isort args: - --profile=black - - repo: https://github.com/python/black - rev: 22.3.0 - hooks: - - id: black diff --git a/data/raw_datasets/generate_data.py b/data/raw_datasets/generate_data.py index 7f80fc6..fd60c8b 100644 --- a/data/raw_datasets/generate_data.py +++ b/data/raw_datasets/generate_data.py @@ -1,8 +1,6 @@ -import itertools import json import os import random -from typing import Dict, List def save_jsonl(data: list[dict], filepath: str) -> None: diff --git a/data/raw_datasets/generate_data_big.py b/data/raw_datasets/generate_data_big.py index 8e0046b..936bc52 100644 --- a/data/raw_datasets/generate_data_big.py +++ b/data/raw_datasets/generate_data_big.py @@ -1,8 +1,6 @@ -import itertools import json import os import random -from typing import Dict, List def save_jsonl(data: list[dict], filepath: str) -> None: diff --git a/dl_fineweb_edu.py b/dl_fineweb_edu.py deleted file mode 100644 index 70e09f3..0000000 --- a/dl_fineweb_edu.py +++ /dev/null @@ -1,39 +0,0 @@ -import random -from glob import glob - -from datasets import load_dataset, Dataset -from huggingface_hub import snapshot_download -from transformers import set_seed - - -def remove_too_long(samples): - return [len(text) < 10_000 for text in samples["text"]] - - -if __name__ == "__main__": - set_seed(42) - fw_dir = "./data/raw_datasets/fineweb_edu/" - snapshot_download( - "HuggingFaceFW/fineweb-edu", - repo_type="dataset", - local_dir=fw_dir, - allow_patterns="sample/100BT/*", - ) - # # https://github.com/huggingface/datasets/issues/7047#issuecomment-2233163406 - # num_shards_per_file = 16 - # sharded_fw_dir = "./data/raw_datasets/fineweb_sharded/" - # output_path_template = f"{sharded_fw_dir}" + "/{i:02d}_{idx:05d}.parquet" - - # for i, f in enumerate(sorted(glob(f"{fw_dir}/sample/100BT/*.parquet"))): - # # ~1M rows ~= 2GB mem required per file - # ds = Dataset.from_parquet(f) - # ds = ds.filter(remove_too_long, batched=True) - # print(f"Filtered ds size: {len(ds)}") - # ds = ds.shuffle(seed=42 + i) - # # take one shard (from 16 shards) per file - # # idx = random.sample(range(num_shards_per_file), 1)[0] - # # shard = ds.shard(index=idx, num_shards=num_shards_per_file, contiguous=False) - # # shard.to_parquet(output_path_template.format(index=i)) - # for idx in range(num_shards_per_file): - # shard = ds.shard(index=idx, num_shards=num_shards_per_file, contiguous=True) - # shard.to_parquet(output_path_template.format(i=i, idx=idx)) diff --git a/src/ctx_to_lora/eval.py b/eval.py similarity index 98% rename from src/ctx_to_lora/eval.py rename to eval.py index 1682053..e7ccbc6 100644 --- a/src/ctx_to_lora/eval.py +++ b/eval.py @@ -1,36 +1,36 @@ -import re -import string -import yaml import gc import json -import os import logging +import os +import re +import string from argparse import Namespace +from collections import Counter, defaultdict +from collections.abc import Callable from dataclasses import fields from functools import partial -from collections import Counter, defaultdict -from typing import Callable -import torch import numpy as np +import torch +import yaml from datasets import disable_caching from peft import PeftModel from rouge_score import rouge_scorer from transformers import ( - PreTrainedModel, + EvalPrediction, GenerationConfig, - Trainer, + PreTrainedModel, Seq2SeqTrainer, Seq2SeqTrainingArguments, - EvalPrediction, + Trainer, set_seed, ) from transformers.utils import is_liger_kernel_available -from ctx_to_lora.data_definitions import LONGBENCH_E_TASKS, LONGBENCH_TASKS -from ctx_to_lora.data_utils import get_tokenized_dataset -from ctx_to_lora.modeling_utils import ModulatedPretrainedModel -from ctx_to_lora.model_loading import get_tokenizer, get_model +from ctx_to_lora.data.definitions import LONGBENCH_E_TASKS, LONGBENCH_TASKS +from ctx_to_lora.data.processing import get_tokenized_dataset +from ctx_to_lora.model_loading import get_model, get_tokenizer +from ctx_to_lora.modeling.hypernet import ModulatedPretrainedModel logger = logging.getLogger() @@ -242,7 +242,9 @@ def decode_test_result(test_dataset, test_result, tokenizer, ctx_tokenizer): label_toks = sample["labels"][start_idx:] # labels are padded with -100, so we need to # replace them with the pad token id - label_toks = np.where(label_toks == -100, tokenizer.pad_token_id, label_toks) + label_toks = np.where( + label_toks == -100, tokenizer.pad_token_id, label_toks + ) label_text = tokenizer.decode(label_toks, skip_special_tokens=True) d["label"] = label_text.strip() @@ -722,7 +724,7 @@ if __name__ == "__main__": checkpoint_dir = "/".join(cli_args.checkpoint_path.split("/")[:-1]) run_dir = "/".join(cli_args.checkpoint_path.split("/")[:-2]) cur_it = int(cli_args.checkpoint_path.split("checkpoint-")[1].split("/")[0]) - args = Namespace(**yaml.unsafe_load(open(f"{run_dir}/args.yaml", "r"))) + args = Namespace(**yaml.unsafe_load(open(f"{run_dir}/args.yaml"))) print(f"checkpoint_path: {cli_args.checkpoint_path}") print(f"run_dir: {run_dir}") diff --git a/generate_fw_edu_qa_vllm.py b/generate_fw_edu_qa_vllm.py deleted file mode 100644 index 332f65a..0000000 --- a/generate_fw_edu_qa_vllm.py +++ /dev/null @@ -1,236 +0,0 @@ -import os -import sys -import random -import re -from glob import glob - -import pandas as pd -from datasets import Dataset -from vllm import LLM, SamplingParams -from tqdm import tqdm -from datasets import load_dataset -from openai import OpenAI - -SYSTEM_TEMPLATE = ( - "You are a creative and helpful assistant.\n" - "You are tasked with generating questions for reading comprehension tests.\n" - "You will be given a context and you need to generate questions and corresponding answers from the given context.\n" - "The questions should be highly specific to the information provided in the context, not general questions that suits any context.\n" - "**DO NOT** halucinate or make up information." -) - -# based on Make Your LLM Fully Utilize the Context (https://arxiv.org/pdf/2404.16811) -PROMPT_TEMPLATE = ( - "### Instructions ###\n" - "Generate questions and corresponding answers from the given context. The questions should be highly specific to the " - "information provided in the context, not general questions that suits any context.\n\n\n" - "### Context ###\n" - "{context}" - "\n\n\n" - "### Additional Instructions ###\n" - "Rules to follow when generate the questions:\n" - "1. The questions must be specific to the given context and fully answerable from information present in given context.\n" - "2. Make sure the questions are clear and unambiguous.\n" - "3. Phrases like 'based on the provided context', 'according to the context', etc, are **NOT ALLOWED** to appear in " - "the questions.\n" - "4. The questions should not overlap. They should be diverse, covering many aspects of the context.\n" - "5. Do not give away too much information in the questions. For example, ask 'Who is X' instead of 'Who is X that did Y' when Y is clear from the context.\n" - "6. Ignore the text formatting of the context, e.g., bold, italic, underline, etc.\n" - "7. Ignore typos, spacing and grammatical errors in the context.\n\n" - "Rules to follow when generate the answers:\n" - "1. The answers must use the information provided in the context.\n" - "2. Do not just copy words from the context. Answer the question in your own words.\n" - "3. The answers should be detailed and comprehensive. Please include additional specific details from the context when possible.\n\n" - "Response with {n_qa_pairs} question-answer pairs.\n" - "Always use proper grammar and punctuation.\n" - "Try to use different question forms and styles.\n" - "Use simple words and make sure that the answers are clear and comprehensive.\n\n" - "The question-answer pairs should be in the following format:\n" - "Question 1: {{question_1}}\n" - "Answer 1: {{answer_1}}\n" - "Question 2: {{question_2}}\n" - "Answer 2: {{answer_2}}\n" - "..." -) - - -def get_prompt(context, n_qa_pairs): - prompt = PROMPT_TEMPLATE.format(context=context, n_qa_pairs=n_qa_pairs) - return prompt - - -def postprocess_qa_pairs(res_txt: str): - """ - Postprocesses the QA pairs from the response text. - - Args: - res_txt: The response text. - n_qa_pairs: The number of QA pairs. - - Returns: - A tuple of two lists, the first containing the questions and the second containing the answers. - """ - # capture everything after each "Question {number}:" until "Answer" - q_pattern = r"Question \d+:(.*?)(?=Answer|$)" # thanks chatgpt - questions = re.findall(q_pattern, res_txt, flags=re.S) - - a_pattern = r"Answer \d+:(.*?)(?=Question|$)" # thanks chatgpt - answers = re.findall(a_pattern, res_txt, flags=re.S) - - if len(questions) != len(answers): - print(f"Warning---number of questions and answers do not match") - print(f"Number of questions: {len(questions)}") - print(f"Number of answers: {len(answers)}") - - out_q = [] - out_a = [] - if (len(questions) > 0) and (len(answers) > 0): - for i in range(min(len(questions), len(answers))): - out_q.append(questions[i].strip()) - out_a.append(answers[i].strip()) - - return out_q, out_a - - -def length_filter(samples): - return [len(text) < 10_000 for text in samples["text"]] - - -if __name__ == "__main__": - # api_key = os.environ.get("vllm_api_key") - # vllm_port = os.environ.get("vllm_port") - # vllm_ip = os.environ.get("vllm_ip") # "172.16.0.62" - vllm_model = os.environ.get("vllm_model") # "google/gemma-2-27b-it" - print(f"Using model: {vllm_model}") - # print(f"Using API key: {api_key}") - # print(f"Using VLLM IP: {vllm_ip}") - # print(f"Using VLLM port: {vllm_port}") - # client = OpenAI( - # base_url=f"http://{vllm_ip}:{vllm_port}/v1", - # api_key=api_key, - # ) - mm_kwargs = {"image": 0} # if "gemma-3" in vllm_model else {} - llm_kwargs = dict( - model=vllm_model, - dtype="bfloat16", - # tokenizer_mode="mistral", - # config_format="mistral", - # load_format="mistral", - enable_prefix_caching=True, - max_model_len=2**14, # 11264, - limit_mm_per_prompt=mm_kwargs, - # enable_chunked_prefill=True, - ) - - if vllm_model == "mistralai/Mistral-Small-3.1-24B-Instruct-2503": - llm_kwargs["tokenizer_mode"] = "mistral" - llm_kwargs["config_format"] = "mistral" - llm_kwargs["load_format"] = "mistral" - SYSTEM_TEMPLATE = ( - "You are Mistral Small 3.1, a Large Language Model (LLM) created by Mistral AI, a French startup headquartered in Paris.\n" - "You power an AI assistant called Le Chat.\n" - "Your knowledge base was last updated on 2023-10-01.\n\n\n" - ) + SYSTEM_TEMPLATE - llm = LLM(**llm_kwargs) - tokenizer = llm.get_tokenizer() - shard_pattern = sys.argv[1] - n_qa_pairs = int(sys.argv[2]) - - paths = glob(f"./data/raw_datasets/fineweb_edu/sample/100BT/{shard_pattern}.parquet") - - for path in paths: - ds = load_dataset( - "parquet", - data_files=path, - split="train", - streaming=True, - ) - ds = ds.filter(length_filter, batched=True) - - ctxs = [sample["text"] for sample in iter(ds)] - messages = [ - [ - {"role": "system", "content": SYSTEM_TEMPLATE}, - {"role": "user", "content": get_prompt(ctx, n_qa_pairs)}, - ] - for ctx in ctxs - ] - - print(f"Generating from {len(messages)} contexts") - completions = llm.chat( - messages, - sampling_params=SamplingParams( - max_tokens=2048, - temperature=( - 0.1 - if vllm_model == "mistralai/Mistral-Small-3.1-24B-Instruct-2503" - else 0.7 - ), - # frequency_penalty=0.1, - ), - ) - samples = [] - for ctx, completion in zip(ctxs, completions): - questions, answers = postprocess_qa_pairs(completion.outputs[0].text) - for q, a in zip(questions, answers): - samples.append( - { - "context": ctx, - "prompt": q, - "response": a, - } - ) - - print(f"Generated {len(samples)} samples") - random.shuffle(samples) - df = pd.DataFrame(samples) - ds = Dataset.from_pandas(df) - val_ds = ds.take(10) - ds = ds.skip(10) - - shard_name = path.split("/")[-1].split(".")[0] - ds.to_parquet(f"data/raw_datasets/fw_qa_3/{shard_name}.parquet") - val_ds.to_parquet(f"data/raw_datasets/fw_qa_3/{shard_name}_val.parquet") - print(f"Saved to data/raw_datasets/fw_qa_3/{shard_name}.parquet") - print(f"Saved to data/raw_datasets/fw_qa_3/{shard_name}_val.parquet") - - # debug - # ds = load_dataset( - # "parquet", - # data_files=paths[0], - # split="train[:10]", - # ) - # ctxs = [sample["text"] for sample in iter(ds)] - # messages = [ - # [ - # {"role": "system", "content": SYSTEM_TEMPLATE}, - # {"role": "user", "content": get_prompt(ctx, n_qa_pairs)}, - # ] - # for ctx in ctxs - # ] - # - # print(f"Generating from {len(messages)} contexts") - # completions = llm.chat( - # messages, - # sampling_params=SamplingParams( - # max_tokens=2048, - # temperature=0.1 if vllm_model=="mistralai/Mistral-Small-3.1-24B-Instruct-2503" else 0.7, - # # frequency_penalty=0.1, - # ), - # ) - # samples = [] - # for ctx, completion in zip(ctxs, completions): - # questions, answers = postprocess_qa_pairs(completion.outputs[0].text) - # for q, a in zip(questions, answers): - # samples.append( - # { - # "context": ctx, - # "prompt": q, - # "response": a, - # } - # ) - # for sample in samples: - # print(f"{sample['context']=}") - # print(f"{sample['prompt']=}") - # print(f"{sample['response']=}") - # print() diff --git a/generate_fw_qa.py b/generate_fw_qa.py deleted file mode 100644 index da674f6..0000000 --- a/generate_fw_qa.py +++ /dev/null @@ -1,166 +0,0 @@ -from glob import glob -import os -import re -import time -import random -import json -from numpy import mat -import requests -from dataclasses import dataclass, asdict -from typing import List, Optional - -import yaml -from openai import OpenAI -from datasets import load_dataset -from argparse import ArgumentParser, Namespace -from datetime import datetime -from tqdm import tqdm - - -from hyper_llm_modulator.utils import get_preprocessing_fn - - -# NOTE: Please, store your openai key with "export OPENAI_API_KEY=..." -api_key = os.environ.get("OPENAI_API_KEY") - - -SYSTEM_TEMPLATE = "You are a creative and helpful assistant." - -# based on Make Your LLM Fully Utilize the Context (https://arxiv.org/pdf/2404.16811) -PROMPT_TEMPLATE = ( - "Generate questions and corresponding answers from the given context. The questions should be highly specific to the " - "information provided in the context, not general questions that suits any context.\n\n" - "Rules to follow when generate the questions:\n" - "1. The questions must be fully answerable from information present in given context.\n" - "2. Make sure the questions are clear and unambiguous.\n" - "3. Phrases like 'based on the provided context', 'according to the context', etc, are not allowed to appear in " - "the questions.\n\n" - "Rules to follow when generate the answers:\n" - "1. The answers must use the information provided in the context.\n" - "2. Do not just copy words from the context. Answer the question in your own words.\n\n" - "Response with {n_qa_pairs} question-answer pairs. Use simple words and please be clear.\n" - "The question-answer pairs should be in the following format:\n" - "Question 1: {{question_1}}\n" - "Answer 1: {{answer_1}}\n" - "Question 2: {{question_2}}\n" - "Answer 2: {{answer_2}}\n" - "..." - "\n\n" - "### Context ###\n" - "{context}" -) - - -def get_prompt(context, n_qa_pairs): - prompt = PROMPT_TEMPLATE.format(context=context, n_qa_pairs=n_qa_pairs) - return prompt - - -def get_json_request(id, text, n_qa_pairs, gpt_model_name): - prompt = get_prompt(text, n_qa_pairs) - messages = [ - {"role": "system", "content": SYSTEM_TEMPLATE}, - {"role": "user", "content": prompt}, - ] - return { - "custom_id": f"{id}", - "method": "POST", - "url": "/v1/chat/completions", - "body": { - "model": gpt_model_name, - "messages": messages, - "temperature": 1.0, - "frequency_penalty": 0.2, - }, - } - - -def parse_args() -> Namespace: - p = ArgumentParser() - p.add_argument("--data_dir", type=str, default="tasks") - - # Every second, different unique id - current_time = datetime.now().strftime("%Y%m%d%H%M%S") - default_output_dir = f"generated_tasks/{current_time}" - p.add_argument("--generated_data_dir", type=str, default=default_output_dir) - p.add_argument("--gpt_model_name", type=str, default="gpt-4o-mini") - p.add_argument("--n_qa_pairs", type=int, default=2) - p.add_argument("--shard_pattern", type=str, default="*") - - return p.parse_args() - - -if __name__ == "__main__": - # Load the datasets - args = parse_args() - ds = load_dataset( - "parquet", - data_files=f"./data/raw_datasets/fineweb_sharded/{args.shard_pattern}.parquet", - split="train", - streaming=True, - ) - os.makedirs("openai_batches", exist_ok=True) - lines = [] - c = 0 - for i, sample in tqdm(enumerate(iter(ds))): - if len(lines) >= 20_000: - with open(f"openai_batches/fineweb_qa_pairs_{c}.jsonl", "w") as f: - for line in lines: - f.write(json.dumps(line) + "\n") - lines = [] - c += 1 - jsonl = get_json_request( - f"{c}_{i}", sample["text"], args.n_qa_pairs, args.gpt_model_name - ) - lines.append(jsonl) - - client = OpenAI() - res_files = glob("openai_batches/fineweb_qa_pairs_*_res.jsonl") - prompt_files = glob("openai_batches/fineweb_qa_pairs_*[!res].jsonl") - unprocessed_files = set(prompt_files) - set( - [f.replace("_res", "") for f in res_files] - ) - for file in unprocessed_files: - print(f"Submitting batch {file}") - batch_input_file = client.files.create(file=open(file, "rb"), purpose="batch") - batch_input_file_id = batch_input_file.id - batch_info = client.batches.create( - input_file_id=batch_input_file_id, - endpoint="/v1/chat/completions", - completion_window="24h", - metadata={"description": f"{file}"}, - ) - print(f"Batch {file} submitted") - print(batch_info) - print("-" * 100) - - while ( - batch_info.completed_at is None - and batch_info.failed_at is None - and batch_info.expired_at is None - and batch_info.cancelled_at is None - ): - time.sleep(10) - batch_info = client.batches.retrieve(batch_info.id) - print(f"curtime: {datetime.now()}") - print(batch_info) - print() - - if batch_info.status == "completed": - print(f"Batch {file} completed") - res = client.files.content(batch_info.output_file_id) - - with open(f"{file.replace('.jsonl', '_res.jsonl')}", "w") as f: - for line in res.iter_lines(): - json_line = json.loads(line) - if json_line["error"]: - print(f"Error: {json_line['error']}") - print("Skipping line...") - continue - f.write(json.dumps(json_line) + "\n") - else: - print(f"Batch {file} failed") - print(batch_info) - print("-" * 100) - - time.sleep(10) diff --git a/generate_fw_qa_vllm.py b/generate_fw_qa_vllm.py deleted file mode 100644 index 3c5349a..0000000 --- a/generate_fw_qa_vllm.py +++ /dev/null @@ -1,231 +0,0 @@ -import os -import sys -import random -import re -from glob import glob - -import pandas as pd -from datasets import Dataset -from vllm import LLM, SamplingParams -from tqdm import tqdm -from datasets import load_dataset -from openai import OpenAI - -SYSTEM_TEMPLATE = ( - "You are a creative and helpful assistant.\n" - "You are tasked with generating questions for reading comprehension tests.\n" - "You will be given a context and you need to generate questions and corresponding answers from the given context.\n" - "The questions should be highly specific to the information provided in the context, not general questions that suits any context.\n" - "**DO NOT** halucinate or make up information." -) - -# based on Make Your LLM Fully Utilize the Context (https://arxiv.org/pdf/2404.16811) -PROMPT_TEMPLATE = ( - "### Instructions ###\n" - "Generate questions and corresponding answers from the given context. The questions should be highly specific to the " - "information provided in the context, not general questions that suits any context.\n\n\n" - "### Context ###\n" - "{context}" - "\n\n\n" - "### Additional Instructions ###\n" - "Rules to follow when generate the questions:\n" - "1. The questions must be specific to the given context and fully answerable from information present in given context.\n" - "2. Make sure the questions are clear and unambiguous.\n" - "3. Phrases like 'based on the provided context', 'according to the context', etc, are **NOT ALLOWED** to appear in " - "the questions.\n" - "4. The questions should not overlap. They should be diverse, covering many aspects of the context.\n" - "5. Do not give away too much information in the questions. For example, ask 'Who is X' instead of 'Who is X that did Y' when Y is clear from the context.\n" - "6. Ignore the text formatting of the context, e.g., bold, italic, underline, etc.\n" - "7. Ignore typos, spacing and grammatical errors in the context.\n\n" - "Rules to follow when generate the answers:\n" - "1. The answers must use the information provided in the context.\n" - "2. Do not just copy words from the context. Answer the question in your own words.\n" - "3. The answers should be detailed and comprehensive. Please include additional specific details from the context when possible.\n\n" - "Response with {n_qa_pairs} question-answer pairs.\n" - "Always use proper grammar and punctuation.\n" - "Try to use different question forms and styles.\n" - "Use simple words and make sure that the answers are clear and comprehensive.\n\n" - "The question-answer pairs should be in the following format:\n" - "Question 1: {{question_1}}\n" - "Answer 1: {{answer_1}}\n" - "Question 2: {{question_2}}\n" - "Answer 2: {{answer_2}}\n" - "..." -) - - -def get_prompt(context, n_qa_pairs): - prompt = PROMPT_TEMPLATE.format(context=context, n_qa_pairs=n_qa_pairs) - return prompt - - -def postprocess_qa_pairs(res_txt: str): - """ - Postprocesses the QA pairs from the response text. - - Args: - res_txt: The response text. - n_qa_pairs: The number of QA pairs. - - Returns: - A tuple of two lists, the first containing the questions and the second containing the answers. - """ - # capture everything after each "Question {number}:" until "Answer" - q_pattern = r"Question \d+:(.*?)(?=Answer|$)" # thanks chatgpt - questions = re.findall(q_pattern, res_txt, flags=re.S) - - a_pattern = r"Answer \d+:(.*?)(?=Question|$)" # thanks chatgpt - answers = re.findall(a_pattern, res_txt, flags=re.S) - - if len(questions) != len(answers): - print(f"Warning---number of questions and answers do not match") - print(f"Number of questions: {len(questions)}") - print(f"Number of answers: {len(answers)}") - - out_q = [] - out_a = [] - if (len(questions) > 0) and (len(answers) > 0): - for i in range(min(len(questions), len(answers))): - out_q.append(questions[i].strip()) - out_a.append(answers[i].strip()) - - return out_q, out_a - - -def length_filter(samples): - return [len(text) < 10_000 for text in samples["text"]] - - -if __name__ == "__main__": - # api_key = os.environ.get("vllm_api_key") - # vllm_port = os.environ.get("vllm_port") - # vllm_ip = os.environ.get("vllm_ip") # "172.16.0.62" - vllm_model = os.environ.get("vllm_model") # "google/gemma-2-27b-it" - print(f"Using model: {vllm_model}") - # print(f"Using API key: {api_key}") - # print(f"Using VLLM IP: {vllm_ip}") - # print(f"Using VLLM port: {vllm_port}") - # client = OpenAI( - # base_url=f"http://{vllm_ip}:{vllm_port}/v1", - # api_key=api_key, - # ) - mm_kwargs = {"image":0} # if "gemma-3" in vllm_model else {} - llm_kwargs = dict( - model=vllm_model, - # tokenizer_mode="mistral", - # config_format="mistral", - # load_format="mistral", - enable_prefix_caching=True, - max_model_len=12288,#2**14, - limit_mm_per_prompt=mm_kwargs, - # enable_chunked_prefill=True, - ) - - if vllm_model=="mistralai/Mistral-Small-3.1-24B-Instruct-2503": - llm_kwargs["tokenizer_mode"] = "mistral" - llm_kwargs["config_format"] = "mistral" - llm_kwargs["load_format"] = "mistral" - SYSTEM_TEMPLATE = ( - "You are Mistral Small 3.1, a Large Language Model (LLM) created by Mistral AI, a French startup headquartered in Paris.\n" - "You power an AI assistant called Le Chat.\n" - "Your knowledge base was last updated on 2023-10-01.\n\n\n" - ) + SYSTEM_TEMPLATE - llm = LLM(**llm_kwargs) - tokenizer = llm.get_tokenizer() - shard_pattern = sys.argv[1] - n_qa_pairs = int(sys.argv[2]) - - paths = glob(f"./data/raw_datasets/fineweb/sample/100BT/{shard_pattern}.parquet") - - # for path in paths: - # ds = load_dataset( - # "parquet", - # data_files=path, - # split="train", - # streaming=True, - # ) - # ds = ds.filter(length_filter, batched=True) - # - # ctxs = [sample["text"] for sample in iter(ds)] - # messages = [ - # [ - # {"role": "system", "content": SYSTEM_TEMPLATE}, - # {"role": "user", "content": get_prompt(ctx, n_qa_pairs)}, - # ] - # for ctx in ctxs - # ] - # - # print(f"Generating from {len(messages)} contexts") - # completions = llm.chat( - # messages, - # sampling_params=SamplingParams( - # max_tokens=2048, - # temperature=0.1 if vllm_model=="mistralai/Mistral-Small-3.1-24B-Instruct-2503" else 0.7, - # # frequency_penalty=0.1, - # ), - # ) - # samples = [] - # for ctx, completion in zip(ctxs, completions): - # questions, answers = postprocess_qa_pairs(completion.outputs[0].text) - # for q, a in zip(questions, answers): - # samples.append( - # { - # "context": ctx, - # "prompt": q, - # "response": a, - # } - # ) - # - # print(f"Generated {len(samples)} samples") - # random.shuffle(samples) - # df = pd.DataFrame(samples) - # ds = Dataset.from_pandas(df) - # val_ds = ds.take(10) - # ds = ds.skip(10) - # - # shard_name = path.split("/")[-1].split(".")[0] - # ds.to_parquet(f"data/raw_datasets/fw_qa_3/{shard_name}.parquet") - # val_ds.to_parquet(f"data/raw_datasets/fw_qa_3/{shard_name}_val.parquet") - # print(f"Saved to data/raw_datasets/fw_qa_3/{shard_name}.parquet") - # print(f"Saved to data/raw_datasets/fw_qa_3/{shard_name}_val.parquet") - - # debug - ds = load_dataset( - "parquet", - data_files=paths[0], - split="train[:10]", - ) - ctxs = [sample["text"] for sample in iter(ds)] - messages = [ - [ - {"role": "system", "content": SYSTEM_TEMPLATE}, - {"role": "user", "content": get_prompt(ctx, n_qa_pairs)}, - ] - for ctx in ctxs - ] - - print(f"Generating from {len(messages)} contexts") - completions = llm.chat( - messages, - sampling_params=SamplingParams( - max_tokens=2048, - temperature=0.1 if vllm_model=="mistralai/Mistral-Small-3.1-24B-Instruct-2503" else 0.7, - # frequency_penalty=0.1, - ), - ) - samples = [] - for ctx, completion in zip(ctxs, completions): - questions, answers = postprocess_qa_pairs(completion.outputs[0].text) - for q, a in zip(questions, answers): - samples.append( - { - "context": ctx, - "prompt": q, - "response": a, - } - ) - for sample in samples: - print(f"{sample['context']=}") - print(f"{sample['prompt']=}") - print(f"{sample['response']=}") - print() diff --git a/generate_negative_natural_questions.py b/generate_negative_natural_questions.py deleted file mode 100644 index 428f141..0000000 --- a/generate_negative_natural_questions.py +++ /dev/null @@ -1,44 +0,0 @@ -import os -from tqdm import tqdm -from datasets import load_dataset, Dataset - - -if __name__ == "__main__": - ds = load_dataset("google-research-datasets/natural_questions") - ds = ds.shuffle(seed=42) - for split in ds: - out = [] - for i, sample in enumerate(tqdm(ds[split])): - ctx = " ".join( - [ - token - for is_html, token in zip( - sample["document"]["tokens"]["is_html"], - sample["document"]["tokens"]["token"], - ) - if not is_html - ] - ).strip() - if not ctx: - continue - answers = [] - for answer in sample["annotations"]["short_answers"]: - answers += answer["text"] - if not answers: - continue - answer = answers[0].strip() - if not answer: - continue - prompt = sample["question"]["text"].capitalize().strip() + " ?" - out.append(dict(prompt=prompt, context=ctx, answer=answer.capitalize())) - # if i >= 10: - # break - shifted_ctxs = [d["context"] for d in out] - shifted_ctxs = shifted_ctxs[1:] + shifted_ctxs[:1] - for d, shifted_ctx in zip(out, shifted_ctxs): - d["context"] = shifted_ctx - new_ds = Dataset.from_list(out) - print(new_ds) - save_dir = "data/raw_datasets/negative_natural_questions" - os.makedirs(save_dir, exist_ok=True) - new_ds.to_json(f"{save_dir}/{split}.jsonl") diff --git a/generate_one_big_fw_qa_req.py b/generate_one_big_fw_qa_req.py deleted file mode 100644 index 209bf63..0000000 --- a/generate_one_big_fw_qa_req.py +++ /dev/null @@ -1,22 +0,0 @@ -import json -from glob import glob - -if __name__ == "__main__": - res_files = glob("openai_batches/fineweb_qa_pairs_*_res.jsonl") - prompt_files = glob("openai_batches/fineweb_qa_pairs_*[!res].jsonl") - unprocessed_files = set(prompt_files) - set( - [f.replace("_res", "") for f in res_files] - ) - print(f"Found {len(unprocessed_files)} unprocessed files:\n{unprocessed_files}") - # Concatenate "body" from each line from unprocessed files - with open("openai_batches/fineweb_qa_pairs_large.jsonl", "w") as outfile: - for fname in unprocessed_files: - with open(fname) as infile: - for line in infile: - # Load the JSON object from the line - obj = json.loads(line) - # Extract the "body" and write it as a new line - if "body" in obj: - outfile.write(json.dumps(obj["body"]) + "\n") - - print(f"Concatenated 'body' from {len(unprocessed_files)} files") diff --git a/generate_qa_parallel.py b/generate_qa_parallel.py deleted file mode 100644 index 624cb67..0000000 --- a/generate_qa_parallel.py +++ /dev/null @@ -1,495 +0,0 @@ -# from https://github.com/openai/openai-cookbook/blob/main/examples/api_request_parallel_processor.py -""" -API REQUEST PARALLEL PROCESSOR - -Using the OpenAI API to process lots of text quickly takes some care. -If you trickle in a million API requests one by one, they'll take days to complete. -If you flood a million API requests in parallel, they'll exceed the rate limits and fail with errors. -To maximize throughput, parallel requests need to be throttled to stay under rate limits. - -This script parallelizes requests to the OpenAI API while throttling to stay under rate limits. - -Features: -- Streams requests from file, to avoid running out of memory for giant jobs -- Makes requests concurrently, to maximize throughput -- Throttles request and token usage, to stay under rate limits -- Retries failed requests up to {max_attempts} times, to avoid missing data -- Logs errors, to diagnose problems with requests - -Example command to call script: -``` -python examples/api_request_parallel_processor.py \ - --requests_filepath examples/data/example_requests_to_parallel_process.jsonl \ - --save_filepath examples/data/example_requests_to_parallel_process_results.jsonl \ - --request_url https://api.openai.com/v1/embeddings \ - --max_requests_per_minute 1500 \ - --max_tokens_per_minute 6250000 \ - --token_encoding_name cl100k_base \ - --max_attempts 5 \ - --logging_level 20 -``` - -Inputs: -- requests_filepath : str - - path to the file containing the requests to be processed - - file should be a jsonl file, where each line is a json object with API parameters and an optional metadata field - - e.g., {"model": "text-embedding-3-small", "input": "embed me", "metadata": {"row_id": 1}} - - as with all jsonl files, take care that newlines in the content are properly escaped (json.dumps does this automatically) - - an example file is provided at examples/data/example_requests_to_parallel_process.jsonl - - the code to generate the example file is appended to the bottom of this script -- save_filepath : str, optional - - path to the file where the results will be saved - - file will be a jsonl file, where each line is an array with the original request plus the API response - - e.g., [{"model": "text-embedding-3-small", "input": "embed me"}, {...}] - - if omitted, results will be saved to {requests_filename}_results.jsonl -- request_url : str, optional - - URL of the API endpoint to call - - if omitted, will default to "https://api.openai.com/v1/chat/completions" -- api_key : str, optional - - API key to use - - if omitted, the script will attempt to read it from an environment variable {os.getenv("OPENAI_API_KEY")} -- max_requests_per_minute : float, optional - - target number of requests to make per minute (will make less if limited by tokens) - - leave headroom by setting this to 50% or 75% of your limit - - if requests are limiting you, try batching multiple embeddings or completions into one request - - if omitted, will default to 1,500 -- max_tokens_per_minute : float, optional - - target number of tokens to use per minute (will use less if limited by requests) - - leave headroom by setting this to 50% or 75% of your limit - - if omitted, will default to 125,000 -- token_encoding_name : str, optional - - name of the token encoding used, as defined in the `tiktoken` package - - if omitted, will default to "o200k_base" (used by `gpt-4o-mini`) - - see https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken -- max_attempts : int, optional - - number of times to retry a failed request before giving up - - if omitted, will default to 5 -- logging_level : int, optional - - level of logging to use; higher numbers will log fewer messages - - 40 = ERROR; will log only when requests fail after all retries - - 30 = WARNING; will log when requests his rate limits or other errors - - 20 = INFO; will log when requests start and the status at finish - - 10 = DEBUG; will log various things as the loop runs to see when they occur - - if omitted, will default to 20 (INFO). - -The script is structured as follows: - - Imports - - Define main() - - Initialize things - - In main loop: - - Get next request if one is not already waiting for capacity - - Update available token & request capacity - - If enough capacity available, call API - - The loop pauses if a rate limit error is hit - - The loop breaks when no tasks remain - - Define dataclasses - - StatusTracker (stores script metadata counters; only one instance is created) - - APIRequest (stores API inputs, outputs, metadata; one method to call API) - - Define functions - - api_endpoint_from_url (extracts API endpoint from request URL) - - append_to_jsonl (writes to results file) - - num_tokens_consumed_from_request (bigger function to infer token usage from request) - - task_id_generator_function (yields 0, 1, 2, ...) - - Run main() -""" - -# imports -import aiohttp # for making API calls concurrently -import argparse # for running script from command line -import asyncio # for running API calls concurrently -import json # for saving results to a jsonl file -import logging # for logging rate limit warnings and other messages -import os # for reading API key -import re # for matching endpoint from request URL -import tiktoken # for counting tokens -import time # for sleeping after rate limit is hit -from dataclasses import ( - dataclass, - field, -) # for storing API inputs, outputs, and metadata - - -async def process_api_requests_from_file( - requests_filepath: str, - save_filepath: str, - request_url: str, - api_key: str, - max_requests_per_minute: float, - max_tokens_per_minute: float, - token_encoding_name: str, - max_attempts: int, - logging_level: int, -): - """Processes API requests in parallel, throttling to stay under rate limits.""" - # constants - seconds_to_pause_after_rate_limit_error = 15 - seconds_to_sleep_each_loop = ( - 0.01 # 10 ms limits max throughput to 100 requests per second - ) - - # initialize logging - logging.basicConfig(level=logging_level) - logging.debug(f"Logging initialized at level {logging_level}") - - # infer API endpoint and construct request header - api_endpoint = api_endpoint_from_url(request_url) - request_header = {"Authorization": f"Bearer {api_key}"} - # use api-key header for Azure deployments - if "/deployments" in request_url: - request_header = {"api-key": f"{api_key}"} - - # initialize trackers - queue_of_requests_to_retry = asyncio.Queue() - task_id_generator = ( - task_id_generator_function() - ) # generates integer IDs of 0, 1, 2, ... - status_tracker = ( - StatusTracker() - ) # single instance to track a collection of variables - next_request = None # variable to hold the next request to call - - # initialize available capacity counts - available_request_capacity = max_requests_per_minute - available_token_capacity = max_tokens_per_minute - last_update_time = time.time() - - # initialize flags - file_not_finished = True # after file is empty, we'll skip reading it - logging.debug(f"Initialization complete.") - - # initialize file reading - with open(requests_filepath) as file: - # `requests` will provide requests one at a time - requests = file.__iter__() - logging.debug(f"File opened. Entering main loop") - async with aiohttp.ClientSession() as session: # Initialize ClientSession here - while True: - # get next request (if one is not already waiting for capacity) - if next_request is None: - if not queue_of_requests_to_retry.empty(): - next_request = queue_of_requests_to_retry.get_nowait() - logging.debug( - f"Retrying request {next_request.task_id}: {next_request}" - ) - elif file_not_finished: - try: - # get new request - request_json = json.loads(next(requests)) - next_request = APIRequest( - task_id=next(task_id_generator), - request_json=request_json, - token_consumption=num_tokens_consumed_from_request( - request_json, api_endpoint, token_encoding_name - ), - attempts_left=max_attempts, - metadata=request_json.pop("metadata", None), - ) - status_tracker.num_tasks_started += 1 - status_tracker.num_tasks_in_progress += 1 - logging.debug( - f"Reading request {next_request.task_id}: {next_request}" - ) - except StopIteration: - # if file runs out, set flag to stop reading it - logging.debug("Read file exhausted") - file_not_finished = False - - # update available capacity - current_time = time.time() - seconds_since_update = current_time - last_update_time - available_request_capacity = min( - available_request_capacity - + max_requests_per_minute * seconds_since_update / 60.0, - max_requests_per_minute, - ) - available_token_capacity = min( - available_token_capacity - + max_tokens_per_minute * seconds_since_update / 60.0, - max_tokens_per_minute, - ) - last_update_time = current_time - - # if enough capacity available, call API - if next_request: - next_request_tokens = next_request.token_consumption - if ( - available_request_capacity >= 1 - and available_token_capacity >= next_request_tokens - ): - # update counters - available_request_capacity -= 1 - available_token_capacity -= next_request_tokens - next_request.attempts_left -= 1 - - # call API - asyncio.create_task( - next_request.call_api( - session=session, - request_url=request_url, - request_header=request_header, - retry_queue=queue_of_requests_to_retry, - save_filepath=save_filepath, - status_tracker=status_tracker, - ) - ) - next_request = None # reset next_request to empty - - # if all tasks are finished, break - if status_tracker.num_tasks_in_progress == 0: - break - - # main loop sleeps briefly so concurrent tasks can run - await asyncio.sleep(seconds_to_sleep_each_loop) - - # if a rate limit error was hit recently, pause to cool down - seconds_since_rate_limit_error = ( - time.time() - status_tracker.time_of_last_rate_limit_error - ) - if ( - seconds_since_rate_limit_error - < seconds_to_pause_after_rate_limit_error - ): - remaining_seconds_to_pause = ( - seconds_to_pause_after_rate_limit_error - - seconds_since_rate_limit_error - ) - await asyncio.sleep(remaining_seconds_to_pause) - # ^e.g., if pause is 15 seconds and final limit was hit 5 seconds ago - logging.warn( - f"Pausing to cool down until {time.ctime(status_tracker.time_of_last_rate_limit_error + seconds_to_pause_after_rate_limit_error)}" - ) - - # after finishing, log final status - logging.info( - f"""Parallel processing complete. Results saved to {save_filepath}""" - ) - if status_tracker.num_tasks_failed > 0: - logging.warning( - f"{status_tracker.num_tasks_failed} / {status_tracker.num_tasks_started} requests failed. Errors logged to {save_filepath}." - ) - if status_tracker.num_rate_limit_errors > 0: - logging.warning( - f"{status_tracker.num_rate_limit_errors} rate limit errors received. Consider running at a lower rate." - ) - - -# dataclasses - - -@dataclass -class StatusTracker: - """Stores metadata about the script's progress. Only one instance is created.""" - - num_tasks_started: int = 0 - num_tasks_in_progress: int = 0 # script ends when this reaches 0 - num_tasks_succeeded: int = 0 - num_tasks_failed: int = 0 - num_rate_limit_errors: int = 0 - num_api_errors: int = 0 # excluding rate limit errors, counted above - num_other_errors: int = 0 - time_of_last_rate_limit_error: int = 0 # used to cool off after hitting rate limits - - -@dataclass -class APIRequest: - """Stores an API request's inputs, outputs, and other metadata. Contains a method to make an API call.""" - - task_id: int - request_json: dict - token_consumption: int - attempts_left: int - metadata: dict - result: list = field(default_factory=list) - - async def call_api( - self, - session: aiohttp.ClientSession, - request_url: str, - request_header: dict, - retry_queue: asyncio.Queue, - save_filepath: str, - status_tracker: StatusTracker, - ): - """Calls the OpenAI API and saves results.""" - logging.info(f"Starting request #{self.task_id}") - error = None - try: - async with session.post( - url=request_url, headers=request_header, json=self.request_json - ) as response: - response = await response.json() - if "error" in response: - logging.warning( - f"Request {self.task_id} failed with error {response['error']}" - ) - status_tracker.num_api_errors += 1 - error = response - if "rate limit" in response["error"].get("message", "").lower(): - status_tracker.time_of_last_rate_limit_error = time.time() - status_tracker.num_rate_limit_errors += 1 - status_tracker.num_api_errors -= ( - 1 # rate limit errors are counted separately - ) - - except ( - Exception - ) as e: # catching naked exceptions is bad practice, but in this case we'll log & save them - logging.warning(f"Request {self.task_id} failed with Exception {e}") - status_tracker.num_other_errors += 1 - error = e - if error: - self.result.append(error) - if self.attempts_left: - retry_queue.put_nowait(self) - else: - logging.error( - f"Request {self.request_json} failed after all attempts. Saving errors: {self.result}" - ) - data = ( - [self.request_json, [str(e) for e in self.result], self.metadata] - if self.metadata - else [self.request_json, [str(e) for e in self.result]] - ) - append_to_jsonl(data, save_filepath) - status_tracker.num_tasks_in_progress -= 1 - status_tracker.num_tasks_failed += 1 - else: - data = ( - [self.request_json, response, self.metadata] - if self.metadata - else [self.request_json, response] - ) - append_to_jsonl(data, save_filepath) - status_tracker.num_tasks_in_progress -= 1 - status_tracker.num_tasks_succeeded += 1 - logging.debug(f"Request {self.task_id} saved to {save_filepath}") - - -# functions - - -def api_endpoint_from_url(request_url): - """Extract the API endpoint from the request URL.""" - match = re.search("^https://[^/]+/v\\d+/(.+)$", request_url) - if match is None: - # for Azure OpenAI deployment urls - match = re.search( - r"^https://[^/]+/openai/deployments/[^/]+/(.+?)(\?|$)", request_url - ) - return match[1] - - -def append_to_jsonl(data, filename: str) -> None: - """Append a json payload to the end of a jsonl file.""" - json_string = json.dumps(data) - with open(filename, "a") as f: - f.write(json_string + "\n") - - -def num_tokens_consumed_from_request( - request_json: dict, - api_endpoint: str, - token_encoding_name: str, -): - """Count the number of tokens in the request. Only supports completion and embedding requests.""" - encoding = tiktoken.get_encoding(token_encoding_name) - # if completions request, tokens = prompt + n * max_tokens - if api_endpoint.endswith("completions"): - max_tokens = request_json.get("max_tokens", 15) - n = request_json.get("n", 1) - completion_tokens = n * max_tokens - - # chat completions - if api_endpoint.startswith("chat/"): - num_tokens = 0 - for message in request_json["messages"]: - num_tokens += ( - 4 # every message follows {role/name}\n{content}\n - ) - for key, value in message.items(): - num_tokens += len(encoding.encode(value)) - if key == "name": # if there's a name, the role is omitted - num_tokens -= 1 # role is always required and always 1 token - num_tokens += 2 # every reply is primed with assistant - return num_tokens + completion_tokens - # normal completions - else: - prompt = request_json["prompt"] - if isinstance(prompt, str): # single prompt - prompt_tokens = len(encoding.encode(prompt)) - num_tokens = prompt_tokens + completion_tokens - return num_tokens - elif isinstance(prompt, list): # multiple prompts - prompt_tokens = sum([len(encoding.encode(p)) for p in prompt]) - num_tokens = prompt_tokens + completion_tokens * len(prompt) - return num_tokens - else: - raise TypeError( - 'Expecting either string or list of strings for "prompt" field in completion request' - ) - # if embeddings request, tokens = input tokens - elif api_endpoint == "embeddings": - input = request_json["input"] - if isinstance(input, str): # single input - num_tokens = len(encoding.encode(input)) - return num_tokens - elif isinstance(input, list): # multiple inputs - num_tokens = sum([len(encoding.encode(i)) for i in input]) - return num_tokens - else: - raise TypeError( - 'Expecting either string or list of strings for "inputs" field in embedding request' - ) - # more logic needed to support other API calls (e.g., edits, inserts, DALL-E) - else: - raise NotImplementedError( - f'API endpoint "{api_endpoint}" not implemented in this script' - ) - - -def task_id_generator_function(): - """Generate integers 0, 1, 2, and so on.""" - task_id = 0 - while True: - yield task_id - task_id += 1 - - -# run script - - -if __name__ == "__main__": - # parse command line arguments - parser = argparse.ArgumentParser() - parser.add_argument("--requests_filepath") - parser.add_argument("--save_filepath", default=None) - parser.add_argument( - "--request_url", default="https://api.openai.com/v1/chat/completions" - ) - parser.add_argument("--api_key", default=os.getenv("OPENAI_API_KEY")) - # tier 4 limit - parser.add_argument("--max_requests_per_minute", type=int, default=10_000 * 0.5) - parser.add_argument("--max_tokens_per_minute", type=int, default=10_000_000 * 0.5) - # - parser.add_argument("--token_encoding_name", default="o200k_base") - parser.add_argument("--max_attempts", type=int, default=5) - parser.add_argument("--logging_level", default=logging.INFO) - args = parser.parse_args() - - if args.save_filepath is None: - args.save_filepath = args.requests_filepath.replace(".jsonl", "_res.jsonl") - - # run script - asyncio.run( - process_api_requests_from_file( - requests_filepath=args.requests_filepath, - save_filepath=args.save_filepath, - request_url=args.request_url, - api_key=args.api_key, - max_requests_per_minute=float(args.max_requests_per_minute), - max_tokens_per_minute=float(args.max_tokens_per_minute), - token_encoding_name=args.token_encoding_name, - max_attempts=int(args.max_attempts), - logging_level=int(args.logging_level), - ) - ) diff --git a/generate_qa_parallel_vllm.py b/generate_qa_parallel_vllm.py deleted file mode 100644 index 3127687..0000000 --- a/generate_qa_parallel_vllm.py +++ /dev/null @@ -1,516 +0,0 @@ -# from https://github.com/openai/openai-cookbook/blob/main/examples/api_request_parallel_processor.py -""" -API REQUEST PARALLEL PROCESSOR - -Using the OpenAI API to process lots of text quickly takes some care. -If you trickle in a million API requests one by one, they'll take days to complete. -If you flood a million API requests in parallel, they'll exceed the rate limits and fail with errors. -To maximize throughput, parallel requests need to be throttled to stay under rate limits. - -This script parallelizes requests to the OpenAI API while throttling to stay under rate limits. - -Features: -- Streams requests from file, to avoid running out of memory for giant jobs -- Makes requests concurrently, to maximize throughput -- Throttles request and token usage, to stay under rate limits -- Retries failed requests up to {max_attempts} times, to avoid missing data -- Logs errors, to diagnose problems with requests - -Example command to call script: -``` -python examples/api_request_parallel_processor.py \ - --requests_filepath examples/data/example_requests_to_parallel_process.jsonl \ - --save_filepath examples/data/example_requests_to_parallel_process_results.jsonl \ - --request_url https://api.openai.com/v1/embeddings \ - --max_requests_per_minute 1500 \ - --max_tokens_per_minute 6250000 \ - --token_encoding_name cl100k_base \ - --max_attempts 5 \ - --logging_level 20 -``` - -Inputs: -- requests_filepath : str - - path to the file containing the requests to be processed - - file should be a jsonl file, where each line is a json object with API parameters and an optional metadata field - - e.g., {"model": "text-embedding-3-small", "input": "embed me", "metadata": {"row_id": 1}} - - as with all jsonl files, take care that newlines in the content are properly escaped (json.dumps does this automatically) - - an example file is provided at examples/data/example_requests_to_parallel_process.jsonl - - the code to generate the example file is appended to the bottom of this script -- save_filepath : str, optional - - path to the file where the results will be saved - - file will be a jsonl file, where each line is an array with the original request plus the API response - - e.g., [{"model": "text-embedding-3-small", "input": "embed me"}, {...}] - - if omitted, results will be saved to {requests_filename}_results.jsonl -- request_url : str, optional - - URL of the API endpoint to call - - if omitted, will default to "https://api.openai.com/v1/chat/completions" -- api_key : str, optional - - API key to use - - if omitted, the script will attempt to read it from an environment variable {os.getenv("OPENAI_API_KEY")} -- max_requests_per_minute : float, optional - - target number of requests to make per minute (will make less if limited by tokens) - - leave headroom by setting this to 50% or 75% of your limit - - if requests are limiting you, try batching multiple embeddings or completions into one request - - if omitted, will default to 1,500 -- max_tokens_per_minute : float, optional - - target number of tokens to use per minute (will use less if limited by requests) - - leave headroom by setting this to 50% or 75% of your limit - - if omitted, will default to 125,000 -- token_encoding_name : str, optional - - name of the token encoding used, as defined in the `tiktoken` package - - if omitted, will default to "o200k_base" (used by `gpt-4o-mini`) - - see https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken -- max_attempts : int, optional - - number of times to retry a failed request before giving up - - if omitted, will default to 5 -- logging_level : int, optional - - level of logging to use; higher numbers will log fewer messages - - 40 = ERROR; will log only when requests fail after all retries - - 30 = WARNING; will log when requests his rate limits or other errors - - 20 = INFO; will log when requests start and the status at finish - - 10 = DEBUG; will log various things as the loop runs to see when they occur - - if omitted, will default to 20 (INFO). - -The script is structured as follows: - - Imports - - Define main() - - Initialize things - - In main loop: - - Get next request if one is not already waiting for capacity - - Update available token & request capacity - - If enough capacity available, call API - - The loop pauses if a rate limit error is hit - - The loop breaks when no tasks remain - - Define dataclasses - - StatusTracker (stores script metadata counters; only one instance is created) - - APIRequest (stores API inputs, outputs, metadata; one method to call API) - - Define functions - - api_endpoint_from_url (extracts API endpoint from request URL) - - append_to_jsonl (writes to results file) - - num_tokens_consumed_from_request (bigger function to infer token usage from request) - - task_id_generator_function (yields 0, 1, 2, ...) - - Run main() -""" - -# imports -import aiohttp # for making API calls concurrently -import argparse # for running script from command line -import asyncio # for running API calls concurrently -import json # for saving results to a jsonl file -import logging # for logging rate limit warnings and other messages -import os # for reading API key -import re # for matching endpoint from request URL -import tiktoken # for counting tokens -import time # for sleeping after rate limit is hit -from dataclasses import ( - dataclass, - field, -) # for storing API inputs, outputs, and metadata - - -async def process_api_requests_from_file( - requests_filepath: str, - save_filepath: str, - request_url: str, - api_key: str, - max_requests_per_minute: float, - max_tokens_per_minute: float, - token_encoding_name: str, - max_attempts: int, - logging_level: int, -): - """Processes API requests in parallel, throttling to stay under rate limits.""" - # constants - seconds_to_pause_after_rate_limit_error = 15 - seconds_to_sleep_each_loop = ( - 0.01 # 10 ms limits max throughput to 100 requests per second - ) - - # initialize logging - logging.basicConfig(level=logging_level) - logging.debug(f"Logging initialized at level {logging_level}") - - # infer API endpoint and construct request header - api_endpoint = api_endpoint_from_url(request_url) - request_header = {"Authorization": f"Bearer {api_key}"} - # use api-key header for Azure deployments - if "/deployments" in request_url: - request_header = {"api-key": f"{api_key}"} - - # initialize trackers - queue_of_requests_to_retry = asyncio.Queue() - task_id_generator = ( - task_id_generator_function() - ) # generates integer IDs of 0, 1, 2, ... - status_tracker = ( - StatusTracker() - ) # single instance to track a collection of variables - next_request = None # variable to hold the next request to call - - # initialize available capacity counts - available_request_capacity = max_requests_per_minute - available_token_capacity = max_tokens_per_minute - last_update_time = time.time() - - # initialize flags - file_not_finished = True # after file is empty, we'll skip reading it - logging.debug(f"Initialization complete.") - - # initialize file reading - with open(requests_filepath) as file: - # `requests` will provide requests one at a time - requests = file.__iter__() - logging.debug(f"File opened. Entering main loop") - async with aiohttp.ClientSession() as session: # Initialize ClientSession here - while True: - # get next request (if one is not already waiting for capacity) - if next_request is None: - if not queue_of_requests_to_retry.empty(): - next_request = queue_of_requests_to_retry.get_nowait() - logging.debug( - f"Retrying request {next_request.task_id}: {next_request}" - ) - elif file_not_finished: - try: - # get new request - request_json = json.loads(next(requests)) - next_request = APIRequest( - task_id=next(task_id_generator), - request_json=request_json, - token_consumption=num_tokens_consumed_from_request( - request_json, api_endpoint, token_encoding_name - ), - attempts_left=max_attempts, - metadata=request_json.pop("metadata", None), - ) - status_tracker.num_tasks_started += 1 - status_tracker.num_tasks_in_progress += 1 - logging.debug( - f"Reading request {next_request.task_id}: {next_request}" - ) - except StopIteration: - # if file runs out, set flag to stop reading it - logging.debug("Read file exhausted") - file_not_finished = False - - # update available capacity - current_time = time.time() - seconds_since_update = current_time - last_update_time - available_request_capacity = min( - available_request_capacity - + max_requests_per_minute * seconds_since_update / 60.0, - max_requests_per_minute, - ) - available_token_capacity = min( - available_token_capacity - + max_tokens_per_minute * seconds_since_update / 60.0, - max_tokens_per_minute, - ) - last_update_time = current_time - - # if enough capacity available, call API - if next_request: - next_request_tokens = next_request.token_consumption - if ( - available_request_capacity >= 1 - and available_token_capacity >= next_request_tokens - ): - # update counters - available_request_capacity -= 1 - available_token_capacity -= next_request_tokens - next_request.attempts_left -= 1 - - # call API - asyncio.create_task( - next_request.call_api( - session=session, - request_url=request_url, - request_header=request_header, - retry_queue=queue_of_requests_to_retry, - save_filepath=save_filepath, - status_tracker=status_tracker, - ) - ) - next_request = None # reset next_request to empty - - # if all tasks are finished, break - if status_tracker.num_tasks_in_progress == 0: - break - - # main loop sleeps briefly so concurrent tasks can run - await asyncio.sleep(seconds_to_sleep_each_loop) - - # if a rate limit error was hit recently, pause to cool down - seconds_since_rate_limit_error = ( - time.time() - status_tracker.time_of_last_rate_limit_error - ) - if ( - seconds_since_rate_limit_error - < seconds_to_pause_after_rate_limit_error - ): - remaining_seconds_to_pause = ( - seconds_to_pause_after_rate_limit_error - - seconds_since_rate_limit_error - ) - await asyncio.sleep(remaining_seconds_to_pause) - # ^e.g., if pause is 15 seconds and final limit was hit 5 seconds ago - logging.warn( - f"Pausing to cool down until {time.ctime(status_tracker.time_of_last_rate_limit_error + seconds_to_pause_after_rate_limit_error)}" - ) - - # after finishing, log final status - logging.info( - f"""Parallel processing complete. Results saved to {save_filepath}""" - ) - if status_tracker.num_tasks_failed > 0: - logging.warning( - f"{status_tracker.num_tasks_failed} / {status_tracker.num_tasks_started} requests failed. Errors logged to {save_filepath}." - ) - if status_tracker.num_rate_limit_errors > 0: - logging.warning( - f"{status_tracker.num_rate_limit_errors} rate limit errors received. Consider running at a lower rate." - ) - - -# dataclasses - - -@dataclass -class StatusTracker: - """Stores metadata about the script's progress. Only one instance is created.""" - - num_tasks_started: int = 0 - num_tasks_in_progress: int = 0 # script ends when this reaches 0 - num_tasks_succeeded: int = 0 - num_tasks_failed: int = 0 - num_rate_limit_errors: int = 0 - num_api_errors: int = 0 # excluding rate limit errors, counted above - num_other_errors: int = 0 - time_of_last_rate_limit_error: int = 0 # used to cool off after hitting rate limits - - -@dataclass -class APIRequest: - """Stores an API request's inputs, outputs, and other metadata. Contains a method to make an API call.""" - - task_id: int - request_json: dict - token_consumption: int - attempts_left: int - metadata: dict - result: list = field(default_factory=list) - - async def call_api( - self, - session: aiohttp.ClientSession, - request_url: str, - request_header: dict, - retry_queue: asyncio.Queue, - save_filepath: str, - status_tracker: StatusTracker, - ): - """Calls the OpenAI API and saves results.""" - logging.info(f"Starting request #{self.task_id}") - error = None - try: - async with session.post( - url=request_url, headers=request_header, json=self.request_json - ) as response: - response = await response.json() - if "error" in response: - logging.warning( - f"Request {self.task_id} failed with error {response['error']}" - ) - status_tracker.num_api_errors += 1 - error = response - if "rate limit" in response["error"].get("message", "").lower(): - status_tracker.time_of_last_rate_limit_error = time.time() - status_tracker.num_rate_limit_errors += 1 - status_tracker.num_api_errors -= ( - 1 # rate limit errors are counted separately - ) - - except ( - Exception - ) as e: # catching naked exceptions is bad practice, but in this case we'll log & save them - logging.warning(f"Request {self.task_id} failed with Exception {e}") - status_tracker.num_other_errors += 1 - error = e - if error: - self.result.append(error) - if self.attempts_left: - retry_queue.put_nowait(self) - else: - logging.error( - f"Request {self.request_json} failed after all attempts. Saving errors: {self.result}" - ) - data = ( - [self.request_json, [str(e) for e in self.result], self.metadata] - if self.metadata - else [self.request_json, [str(e) for e in self.result]] - ) - append_to_jsonl(data, save_filepath) - status_tracker.num_tasks_in_progress -= 1 - status_tracker.num_tasks_failed += 1 - else: - data = ( - [self.request_json, response, self.metadata] - if self.metadata - else [self.request_json, response] - ) - append_to_jsonl(data, save_filepath) - status_tracker.num_tasks_in_progress -= 1 - status_tracker.num_tasks_succeeded += 1 - logging.debug(f"Request {self.task_id} saved to {save_filepath}") - - -# functions - - -def api_endpoint_from_url(request_url): - """Extract the API endpoint from the request URL.""" - match = re.search("^https://[^/]+/v\\d+/(.+)$", request_url) - if match is None: - # for Azure OpenAI deployment urls - match = re.search( - r"^https://[^/]+/openai/deployments/[^/]+/(.+?)(\?|$)", request_url - ) - return match[1] - - -def append_to_jsonl(data, filename: str) -> None: - """Append a json payload to the end of a jsonl file.""" - json_string = json.dumps(data) - with open(filename, "a") as f: - f.write(json_string + "\n") - - -def num_tokens_consumed_from_request( - request_json: dict, - api_endpoint: str, - token_encoding_name: str, -): - """Count the number of tokens in the request. Only supports completion and embedding requests.""" - encoding = tiktoken.get_encoding(token_encoding_name) - # if completions request, tokens = prompt + n * max_tokens - if api_endpoint.endswith("completions"): - max_tokens = request_json.get("max_tokens", 15) - n = request_json.get("n", 1) - completion_tokens = n * max_tokens - - # chat completions - if api_endpoint.startswith("chat/"): - num_tokens = 0 - for message in request_json["messages"]: - num_tokens += ( - 4 # every message follows {role/name}\n{content}\n - ) - for key, value in message.items(): - num_tokens += len(encoding.encode(value)) - if key == "name": # if there's a name, the role is omitted - num_tokens -= 1 # role is always required and always 1 token - num_tokens += 2 # every reply is primed with assistant - return num_tokens + completion_tokens - # normal completions - else: - prompt = request_json["prompt"] - if isinstance(prompt, str): # single prompt - prompt_tokens = len(encoding.encode(prompt)) - num_tokens = prompt_tokens + completion_tokens - return num_tokens - elif isinstance(prompt, list): # multiple prompts - prompt_tokens = sum([len(encoding.encode(p)) for p in prompt]) - num_tokens = prompt_tokens + completion_tokens * len(prompt) - return num_tokens - else: - raise TypeError( - 'Expecting either string or list of strings for "prompt" field in completion request' - ) - # if embeddings request, tokens = input tokens - elif api_endpoint == "embeddings": - input = request_json["input"] - if isinstance(input, str): # single input - num_tokens = len(encoding.encode(input)) - return num_tokens - elif isinstance(input, list): # multiple inputs - num_tokens = sum([len(encoding.encode(i)) for i in input]) - return num_tokens - else: - raise TypeError( - 'Expecting either string or list of strings for "inputs" field in embedding request' - ) - # more logic needed to support other API calls (e.g., edits, inserts, DALL-E) - else: - raise NotImplementedError( - f'API endpoint "{api_endpoint}" not implemented in this script' - ) - - -def task_id_generator_function(): - """Generate integers 0, 1, 2, and so on.""" - task_id = 0 - while True: - yield task_id - task_id += 1 - - -# run script - - -if __name__ == "__main__": - # parse command line arguments - parser = argparse.ArgumentParser() - parser.add_argument("--requests_filepath") - parser.add_argument("--save_filepath", default=None) - parser.add_argument( - "--request_url", default="https://api.openai.com/v1/chat/completions" - ) - parser.add_argument("--api_key", default=os.getenv("OPENAI_API_KEY")) - # tier 4 limit - parser.add_argument("--max_requests_per_minute", type=int, default=10_000 * 0.5) - parser.add_argument("--max_tokens_per_minute", type=int, default=10_000_000 * 0.5) - # - parser.add_argument("--token_encoding_name", default="o200k_base") - parser.add_argument("--max_attempts", type=int, default=5) - parser.add_argument("--logging_level", default=logging.INFO) - args = parser.parse_args() - - if args.save_filepath is None: - args.save_filepath = args.requests_filepath.replace(".jsonl", "_res.jsonl") - - # run script - asyncio.run( - process_api_requests_from_file( - requests_filepath=args.requests_filepath, - save_filepath=args.save_filepath, - request_url=args.request_url, - api_key=args.api_key, - max_requests_per_minute=float(args.max_requests_per_minute), - max_tokens_per_minute=float(args.max_tokens_per_minute), - token_encoding_name=args.token_encoding_name, - max_attempts=int(args.max_attempts), - logging_level=int(args.logging_level), - ) - ) - -""" -from openai import OpenAI -import os -api_key = os.environ.get("vllm_api_key") -vllm_port = os.environ.get("vllm_port") -vllm_ip = "172.16.0.62" -client = OpenAI( - base_url=f"http://{vllm_ip}:{vllm_port}/v1", - api_key=api_key, -) - -completion = client.chat.completions.create( - model="google/gemma-2-27b-it", - messages=[ - {"role": "user", "content": "Hello!"} - ] -) - -print(completion.choices[0].message) -""" diff --git a/icae_v2/fine_tuned_inference.py b/icae_v2/fine_tuned_inference.py index a494c02..99f71b2 100644 --- a/icae_v2/fine_tuned_inference.py +++ b/icae_v2/fine_tuned_inference.py @@ -1,5 +1,4 @@ import json -import sys import torch from modeling_icae_multi_span import ( @@ -11,7 +10,7 @@ from modeling_icae_multi_span import ( from peft import LoraConfig from safetensors.torch import load_file from tqdm import tqdm -from transformers import AutoModelForCausalLM, HfArgumentParser +from transformers import HfArgumentParser # Set the computation device device = "cuda" @@ -53,7 +52,6 @@ model.eval() with torch.no_grad(): with open("ft_inference.out", "w") as f: - for line in tqdm(lines): # Tokenize input text data = json.loads(line) @@ -100,7 +98,9 @@ with torch.no_grad(): # Generate text output for i in range(max_out_length): - with model.icae.disable_adapter(): # no independent decoder; use self.icae + with ( + model.icae.disable_adapter() + ): # no independent decoder; use self.icae out = model.icae( inputs_embeds=output, past_key_values=past_key_values, diff --git a/icae_v2/instruction_finetune.py b/icae_v2/instruction_finetune.py index 718a3e4..7de17d6 100644 --- a/icae_v2/instruction_finetune.py +++ b/icae_v2/instruction_finetune.py @@ -7,7 +7,6 @@ from modeling_icae_multi_span import ( ) from peft import LoraConfig from training_utils import ( - DataCollatorForDynamicPadding, instruct_ft_tokenize_function, train_model, ) @@ -72,9 +71,9 @@ def main(): ) # check model_args.mem_size and min_tokens_for_lm - assert ( - training_args.fixed_mem_size & (training_args.fixed_mem_size - 1) - ) == 0, "training_args.fixed_mem_size must be a power of 2" + assert (training_args.fixed_mem_size & (training_args.fixed_mem_size - 1)) == 0, ( + "training_args.fixed_mem_size must be a power of 2" + ) memory_size = training_args.fixed_mem_size diff --git a/icae_v2/modeling_icae_multi_span.py b/icae_v2/modeling_icae_multi_span.py index 0edc37f..505d2d1 100644 --- a/icae_v2/modeling_icae_multi_span.py +++ b/icae_v2/modeling_icae_multi_span.py @@ -1,18 +1,14 @@ # ICAE that supports multi span concat import math -import os -import random from dataclasses import dataclass, field -from typing import Optional import torch import torch.nn as nn import transformers from peft import get_peft_model from safetensors.torch import load_file -from torch.nn.functional import gelu -from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer +from transformers import AutoModelForCausalLM, AutoTokenizer device = torch.device("cuda" if torch.cuda.is_available() else "cpu") @@ -32,16 +28,20 @@ class ModelArguments: @dataclass class DataArguments: - data_path: str = field(default=None, metadata={"help": "Path to the training data."}) + data_path: str = field( + default=None, metadata={"help": "Path to the training data."} + ) debug_data: bool = field( default=False, - metadata={"help": "Enable debug dataset to quickly verify the training process"}, + metadata={ + "help": "Enable debug dataset to quickly verify the training process" + }, ) @dataclass class TrainingArguments(transformers.TrainingArguments): - cache_dir: Optional[str] = field(default=None) + cache_dir: str | None = field(default=None) optim: str = field(default="adamw_torch") model_max_length: int = field( default=28000, @@ -77,7 +77,9 @@ class TrainingArguments(transformers.TrainingArguments): ) restore_from: str = field( default="", - metadata={"help": "The checkpoint that should be restored from for fine-tuning"}, + metadata={ + "help": "The checkpoint that should be restored from for fine-tuning" + }, ) @@ -109,7 +111,9 @@ class ICAE(torch.nn.Module): self.model_name = model_args.model_name_or_path self.icae = AutoModelForCausalLM.from_pretrained( self.model_name, - torch_dtype=torch.float16 if training_args.bf16 is False else torch.bfloat16, + torch_dtype=torch.float16 + if training_args.bf16 is False + else torch.bfloat16, use_flash_attention_2=True, resume_download=True, ) @@ -162,9 +166,7 @@ class ICAE(torch.nn.Module): self.vocab_size + self.mem_size, dtype=torch.long, device=device, - ).unsqueeze( - 0 - ) # mem tokens + ).unsqueeze(0) # mem tokens if self.training: self.init() @@ -201,7 +203,7 @@ class ICAE(torch.nn.Module): self, input_ids: torch.LongTensor = None, prompt_answer_ids: torch.LongTensor = None, - labels: Optional[torch.LongTensor] = None, + labels: torch.LongTensor | None = None, ): # encoder part batch_size = input_ids.size(0) @@ -218,7 +220,6 @@ class ICAE(torch.nn.Module): ) for segment_idx in range(num_segments): - start_idx = segment_idx * segment_length end_idx = min((segment_idx + 1) * segment_length, total_length) segment_input_ids = input_ids[:, start_idx:end_idx] @@ -292,7 +293,6 @@ class ICAE(torch.nn.Module): def _compress( self, input_ids: torch.LongTensor = None ): # for inference; compress a fixed length of input into memory slots - batch_size = input_ids.size(0) total_length = input_ids.size(1) num_segments = self.compute_num_segments(total_length) diff --git a/icae_v2/pretrain.py b/icae_v2/pretrain.py index 292b33e..abea7da 100644 --- a/icae_v2/pretrain.py +++ b/icae_v2/pretrain.py @@ -36,12 +36,12 @@ def main(): ) # check model_args.mem_size and min_tokens_for_lm - assert ( - training_args.fixed_mem_size & (training_args.fixed_mem_size - 1) - ) == 0, "training_args.fixed_mem_size must be a power of 2" - assert ( - training_args.leave_tokens_for_lm <= training_args.min_tokens_for_lm - ), "leave_tokens_for_lm should be fewer than min_tokens_for_lm" + assert (training_args.fixed_mem_size & (training_args.fixed_mem_size - 1)) == 0, ( + "training_args.fixed_mem_size must be a power of 2" + ) + assert training_args.leave_tokens_for_lm <= training_args.min_tokens_for_lm, ( + "leave_tokens_for_lm should be fewer than min_tokens_for_lm" + ) memory_size = training_args.fixed_mem_size diff --git a/icae_v2/pretrained_inference.py b/icae_v2/pretrained_inference.py index 7f5b443..faf0a14 100644 --- a/icae_v2/pretrained_inference.py +++ b/icae_v2/pretrained_inference.py @@ -1,5 +1,4 @@ import json -import sys import torch from modeling_icae_multi_span import ( @@ -49,7 +48,6 @@ lines = [ model.eval() with torch.no_grad(): with open("tmp.out", "w") as f: - for line in tqdm(lines): # Tokenize input text tokenized_text = model.tokenizer( @@ -80,7 +78,9 @@ with torch.no_grad(): # Generate text output for i in range(512): - with model.icae.disable_adapter(): # no independent decoder; use self.icae + with ( + model.icae.disable_adapter() + ): # no independent decoder; use self.icae out = model.icae( inputs_embeds=output, past_key_values=past_key_values, diff --git a/icae_v2/training_utils.py b/icae_v2/training_utils.py index ac7c0ae..1e7f87a 100644 --- a/icae_v2/training_utils.py +++ b/icae_v2/training_utils.py @@ -1,9 +1,8 @@ -import math import os import random import torch -from transformers import Seq2SeqTrainer, Trainer +from transformers import Trainer from transformers.trainer_utils import get_last_checkpoint device = torch.device("cuda" if torch.cuda.is_available() else "cpu") @@ -17,7 +16,6 @@ def train_model( data_collator=None, compute_metrics=None, ): - last_checkpoint = None if ( os.path.isdir(training_args.output_dir) @@ -85,7 +83,6 @@ def train_model( def text_extraction(input_ids, length, lm_ratio=0.0): - input_len = len(input_ids) assert input_len >= 1, f"Error: invalid input length ({input_len})" @@ -121,9 +118,10 @@ def pretrain_tokenize_function(examples, model, mem, lm_ratio=0.0): max_len = model.training_args.model_max_length # heuristic for idx in range(len(text_output["input_ids"])): - ae = True - a, b = text_extraction(text_output["input_ids"][idx], max_len, lm_ratio=lm_ratio) + a, b = text_extraction( + text_output["input_ids"][idx], max_len, lm_ratio=lm_ratio + ) length_a = len(a) num_segments = model.compute_num_segments(length_a) total_mem_length = num_segments * model.mem_size @@ -192,7 +190,6 @@ def instruct_ft_tokenize_function(examples, model, mem): max_len = model.training_args.model_max_length # heuristic for idx in range(len(text_output["input_ids"])): - length = len(text_output["input_ids"][idx]) num_segments = model.compute_num_segments(length) total_mem_length = num_segments * model.mem_size diff --git a/install.sh b/install.sh index 3669169..f3c0f60 100644 --- a/install.sh +++ b/install.sh @@ -1,9 +1,18 @@ -pip install -e . -pip install flash-attn==2.6.3 --no-build-isolation -# huggingface-cli login +# uv pip install -e . +# uv pip install flash-attn==2.6.3 --no-build-isolation +# # huggingface-cli login -# lm-evaluation-harness -git clone https://github.com/EleutherAI/lm-evaluation-harness.git -cd lm-evaluation-harness -git checkout f724be699e8adf7ca8004ea0e519dfac83a06f18 -pip install -e . +# # lm-evaluation-harness +# # git clone https://github.com/EleutherAI/lm-evaluation-harness.git +# # cd lm-evaluation-harness +# # git checkout f724be699e8adf7ca8004ea0e519dfac83a06f18 +# # pip install -e . +uv venv +uv pip install torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0 --index-url https://download.pytorch.org/whl/cu126 +uv sync +# wget https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.3/flash_attn-2.7.3+cu12torch2.6cxx11abiTRUE-cp310-cp310-linux_x86_64.whl +uv pip install https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.3/flash_attn-2.7.3+cu12torch2.6cxx11abiTRUE-cp310-cp310-linux_x86_64.whl +# uv pip install flash-attn==2.6.3 --no-build-isolation + +# dev +pre-commit install diff --git a/intx_sft.py b/intx_sft.py index e2e87c3..f5234a2 100755 --- a/intx_sft.py +++ b/intx_sft.py @@ -1,68 +1,57 @@ import logging import os -import random -import string -import time -from multiprocess import set_start_method -from math import ceil -from collections import defaultdict -from copy import copy, deepcopy +from copy import deepcopy from functools import partial -from importlib.resources import read_binary -from typing import Callable, Optional +from math import ceil import numpy as np import torch -import wandb -import yaml - -from ctx_to_lora.data_utils import ( - DS_LEN, - convert_ctx_prompt_response_to_messages, - get_preprocessing_fn, - get_sft_prompt_formatting_fn, - get_tokenized_dataset, - tokenize_chat_messages, - tokenize_ctx_text, -) from datasets import ( - concatenate_datasets, - interleave_datasets, disable_caching, - load_dataset, - IterableDataset, + interleave_datasets, +) +from peft import PeftModel +from transformers import ( + AutoConfig, + set_seed, +) +from transformers.utils import is_liger_kernel_available + +import wandb +from ctx_to_lora.configs import ( + AggregatorArguments, + ArgumentParser, + CtxEncoderArguments, + CtxTrainingArguments, + DataArguments, + ExperimentSetup, + HypernetArguments, + LoRAArguments, + ModelArguments, + TrainingArguments, +) +from ctx_to_lora.data.collator import train_collator, train_packed_collator +from ctx_to_lora.data.definitions import DS_LEN +from ctx_to_lora.data.processing import get_tokenized_dataset +from ctx_to_lora.metrics import ( + Evaluator, + compute_metrics, + compute_per_token_acc, + compute_perplexity, + compute_prefix_matching, ) from ctx_to_lora.model_loading import ( get_lora_config, get_model_and_tokenizer, get_tokenizer, ) -from ctx_to_lora.modeling_utils import ( - EarlyExit, - HyperLoRA, +from ctx_to_lora.modeling.hypernet import ( ModulatedPretrainedModel, get_hypernet_config, ) -from rouge_score import rouge_scorer -from ctx_to_lora.training_utils import TRAINING_TASK, train_model -from transformers import ( - AutoModelForCausalLM, - AutoTokenizer, - AutoConfig, - PretrainedConfig, - DataCollatorForSeq2Seq, - EvalPrediction, - HfArgumentParser, - set_seed, -) -from accelerate import Accelerator, DeepSpeedPlugin -from peft import PeftModel -from transformers.utils import is_liger_kernel_available -from transformers.data import DataCollatorWithFlattening -from torch.utils.data import DataLoader +from ctx_to_lora.trainer import train_model from ctx_to_lora.utils import ( extract_cli_args, - get_base_model, get_run_name, log_num_train_params, save_yaml, @@ -70,150 +59,11 @@ from ctx_to_lora.utils import ( validate_args, ) -from ctx_to_lora.configs import ( - ArgumentParser, - CtxTrainingArguments, - TrainingArguments, - DataArguments, - ExperimentSetup, - LoRAArguments, - ModelArguments, - HypernetArguments, - AggregatorArguments, - CtxEncoderArguments, -) - logger = logging.getLogger() LOCAL_RANK = int(os.getenv("LOCAL_RANK", "0")) -def compute_per_token_acc(shift_logits, shift_labels, valid_masks): - indices = torch.where(valid_masks) - # acc = (shift_logits.argmax(-1) == shift_labels)[indices].float().mean().item() - # return {"per_token_acc": acc} - acc = (shift_logits.argmax(-1) == shift_labels)[indices].float() - return { - "per_token_accs": acc.flatten().tolist(), - "n_per_token_accs": valid_masks.sum().item(), - } - - -def compute_prefix_matching(shift_logits, shift_labels, valid_masks): - lengths = valid_masks.sum(dim=1) - - is_wrong = (shift_logits.argmax(-1) != shift_labels) * valid_masks - is_correct = (shift_logits.argmax(-1) == shift_labels) * valid_masks - # NOTE: not reliable for multi-turn conversations - # ie, all tokens in the following user's turn will be correct - # still monotonically correlate with perf though - wrong_pos = torch.argmax(is_wrong, dim=1) - torch.argmax(valid_masks, dim=1) - perf = wrong_pos / lengths - - # if all tokens are correct, set to 1 - perf = torch.where(is_correct.sum(dim=1) == lengths, 1, perf) - # return {"prefix_matching": perf.mean().item()} - return { - "prefix_matchings": perf.tolist(), - "n_prefix_matchings": valid_masks.shape[0], - } - - -@torch.no_grad() -def compute_perplexity(shift_logits, shift_labels, valid_masks): - loss_fct = torch.nn.CrossEntropyLoss(reduction="none") - loss = loss_fct(shift_logits.transpose(1, 2), shift_labels) - loss = (loss * valid_masks).sum(dim=1) / valid_masks.sum(dim=1) - # perplexity = torch.exp(loss).mean().item() - # return {"perplexity": perplexity} - preplexities = torch.exp(loss) - return { - "perplexities": preplexities.tolist(), - "n_perplexities": valid_masks.shape[0], - } - - -class Evaluator: - def __init__(self, metric_fns: list[Callable]): - self.metric_fns = metric_fns - self.reset() - - def reset(self): - self.accum_metrics = defaultdict(list) - self.count = defaultdict(list) - - def update(self, shift_logits, shift_labels, valid_masks): - for metric_fn in self.metric_fns: - metric = metric_fn(shift_logits, shift_labels, valid_masks) - for k, v in metric.items(): - if k.startswith("n_"): - self.count[k[2:]].append(v) - else: - self.accum_metrics[k] += v - - def compute(self): - # Get result across entire eval set - result = { - k: np.sum(v) / np.sum(self.count[k]) for k, v in self.accum_metrics.items() - } - # Reset batch statistics - self.reset() - return result - - -@torch.no_grad() -def compute_metrics( - eval_pred: EvalPrediction, - compute_result: bool, - evaluator: Evaluator, -) -> Optional[dict]: - logits, labels = eval_pred.predictions, eval_pred.label_ids - shift_logits = logits[..., :-1, :] - shift_labels = labels[..., 1:] - valid_masks = torch.where(shift_labels != -100, 1, 0) - evaluator.update(shift_logits, shift_labels, valid_masks) - if compute_result: - return evaluator.compute() - - -# def compute_metrics(eval_pred: EvalPrediction) -> dict: -# """ -# Custom metrics function for the trainer -# Args: -# eval_pred: tuple of predictions and labels -# Returns: -# dictionary containing metric names (str) and values (Any) -# """ -# # compute per token accuracy -# # logits, labels = eval_pred.predictions, eval_pred.label_ids -# # shift_logits = logits[..., :-1, :] -# pred_ids, labels = eval_pred.predictions, eval_pred.label_ids -# shift_pred_ids = pred_ids[..., :-1] -# shift_labels = labels[..., 1:] -# valid_masks = np.where(shift_labels != -100, 1, 0) - -# per_token_acc = compute_per_token_acc(shift_pred_ids, shift_labels, valid_masks) -# prefix_matching = compute_prefix_matching(shift_pred_ids, shift_labels, valid_masks) -# # entropy = compute_entropy(shift_logits, shift_labels, valid_masks) -# return dict( -# **per_token_acc, -# **prefix_matching, -# # **entropy, -# num_valid_tokens=valid_masks.sum(), -# num_samples=valid_masks.shape[0], -# ) - - -# # https://discuss.huggingface.co/t/cuda-out-of-memory-when-using-trainer-with-compute-metrics/2941/13 -# def preprocess_logits_for_metrics(logits, labels): -# """ -# Original Trainer may have a memory leak. -# This is a workaround to avoid storing too many tensors that are not needed. -# """ -# pred_ids = torch.argmax(logits, dim=-1) -# return pred_ids - - def main(): ############ Argument parsing parser = ArgumentParser( @@ -302,7 +152,6 @@ def main(): save_yaml(args, f"{output_dir}/args.yaml") ############ Model setup - if not ctx_args.from_pretrained_checkpoint: model_name = model_args.model_name_or_path model, tokenizer = get_model_and_tokenizer( @@ -364,6 +213,10 @@ def main(): raise ValueError("ctx_encoder contains trainable parameters") if len([p for p in model.base_model.parameters() if p.requires_grad]): raise ValueError("base model contains trainable parameters") + # we can't compile the base model bc we will be + # adding/removing forward hooks during training + model.hypernet = torch.compile(model.hypernet) + model.ctx_encoder = torch.compile(model.ctx_encoder) else: # activate LoRA base_model_config = AutoConfig.from_pretrained( @@ -372,29 +225,27 @@ def main(): base_model_config.save_pretrained(output_dir) logger.info("Using LoRA") model.set_adapter("default") + model = torch.compile(model) model.train() logger.debug(model) log_num_train_params(model) - # model = accelerator.prepare(model) - ############ Dataset setup - logger.info("Loading dataset...") add_ctx_to_chat = not isinstance(model, ModulatedPretrainedModel) - # tokenizer_kwargs = {"max_length": ctx_args.max_base_len} - # ctx_tokenizer_kwargs = {"max_length": ctx_args.max_ctx_len} # not used for now + tokenizer_kwargs = {"max_length": ctx_args.max_base_len} # not used + ctx_tokenizer_kwargs = {"max_length": ctx_args.max_ctx_len} # not used for now _get_tokenized_dataset = partial( get_tokenized_dataset, base_model_max_len=model.base_model.config.max_position_embeddings, tokenizer=tokenizer, - tokenizer_kwargs={}, + tokenizer_kwargs=tokenizer_kwargs, ctx_model_max_len=model.ctx_encoder.config.max_position_embeddings, ctx_tokenizer=ctx_tokenizer, - ctx_tokenizer_kwargs={}, + ctx_tokenizer_kwargs=ctx_tokenizer_kwargs, add_ctx_to_chat=add_ctx_to_chat, add_repeat_prompt=ctx_args.add_repeat_prompt, add_negative_prompt=ctx_args.add_negative_prompt, @@ -411,7 +262,6 @@ def main(): continue streaming = (split == "train") and data_args.streaming for ds_name in ds_names: - # with accelerator.main_process_first(): ds = _get_tokenized_dataset(ds_name, split, streaming=streaming) tokenized_ds[split][os.path.basename(ds_name)] = ds @@ -431,86 +281,50 @@ def main(): val_indices = np.random.permutation(len(ds))[:n_val_samples] val_ds[ds_name] = val_ds[ds_name].select(val_indices) - max_steps = ceil( - sum([DS_LEN[ds] for ds in train_ds]) - * training_args.num_train_epochs - / training_args.per_device_train_batch_size - / training_args.gradient_accumulation_steps - / training_args.world_size - ) - training_args.max_steps = max_steps + if data_args.streaming: + max_steps = ceil( + sum(DS_LEN[ds] for ds in train_ds) + * training_args.num_train_epochs + / training_args.per_device_train_batch_size + / training_args.gradient_accumulation_steps + / training_args.world_size + ) + training_args.max_steps = max_steps - # interleaving streaming datasets - # simplify the probs for smaller datasets - # slightly upsample those datasets - probs = [ - 0.01 if "fw_qa" not in ds_name else 1 + 0.01 - 0.01 * len(train_ds) - for ds_name in train_ds - ] - train_ds = interleave_datasets( - list(train_ds.values()), - probabilities=probs, - stopping_strategy="all_exhausted", - seed=training_args.seed, - ) + # interleaving streaming datasets + # simplify the probs for smaller datasets + # slightly upsample those datasets + probs = [ + 0.01 if "fw_qa" not in ds_name else 1 + 0.01 - 0.01 * len(train_ds) + for ds_name in train_ds + ] + train_ds = interleave_datasets( + list(train_ds.values()), + probabilities=probs, + stopping_strategy="all_exhausted", + seed=training_args.seed, + ) + else: + train_ds_len = [len(ds) for ds in train_ds.values()] + total_len = sum(train_ds_len) + max_steps = ceil( + total_len + * training_args.num_train_epochs + / training_args.per_device_train_batch_size + / training_args.gradient_accumulation_steps + / training_args.world_size + ) + training_args.max_steps = max_steps + train_ds = interleave_datasets( + list(train_ds.values()), + probabilities=[l / total_len for l in train_ds_len], + seed=training_args.seed, + ) logger.info(f"train_ds: {train_ds}") logger.info(f"val_ds: {val_ds}") - flattener = DataCollatorWithFlattening() - def train_packed_collator(inp_list): - # no padding - packed_inputs = flattener(inp_list, return_tensors="pt") - if "ctx_ids" in inp_list[0]: - ctx_ids = [{"input_ids": example["ctx_ids"]} for example in inp_list] - packed_ctx = flattener(ctx_ids, return_tensors="pt") - packed_inputs["ctx_ids"] = packed_ctx["input_ids"] - packed_inputs["ctx_position_ids"] = packed_ctx["position_ids"] - return packed_inputs - - def train_collator(inp_list, tokenizer): - # input is a list of tokenized sequences - padding_kwargs = dict( - padding=True, - padding_side="right", - pad_to_multiple_of=8, - return_tensors="pt", - ) - - ctx_ids = None - if "ctx_ids" in inp_list[0]: - # have to be manual since it has [ctx_len, features] shape - # pad to the longest ctx_len in the batch - # which can have a different length from the input_ids, attn_mask, labels - - ctx_ids = [example.pop("ctx_ids") for example in inp_list] - ctx_ids = torch.nn.utils.rnn.pad_sequence( - ctx_ids, - batch_first=True, - padding_value=0, - ) - # exotic keys won't be padded, so we need to pad them as well - ctx_attn_mask = [example.pop("ctx_attn_mask") for example in inp_list] - ctx_attn_mask = torch.nn.utils.rnn.pad_sequence( - ctx_attn_mask, - batch_first=True, - padding_value=0, - ) - - labels = [x.pop("labels") for x in inp_list] - padded_seq = tokenizer.pad(inp_list, **padding_kwargs) - - # hacky explicit padding since the labels are not padded by default - labels = tokenizer.pad({"input_ids": labels}, **padding_kwargs)["input_ids"] - labels = torch.where(padded_seq["attention_mask"] == 0, -100, labels) - out = {**padded_seq, "labels": labels} - if ctx_ids is not None: - out["ctx_ids"] = ctx_ids - out["ctx_attn_mask"] = ctx_attn_mask - - return out - - train_collator = ( + collator = ( train_packed_collator if ctx_args.use_sequence_packing else partial(train_collator, tokenizer=tokenizer) @@ -553,20 +367,16 @@ def main(): train_model( model, - # tokenizer, training_args, train_ds, val_ds, - train_collator, - # partial(generation_collator, tokenizer=tokenizer), + collator, compute_metrics=partial( compute_metrics, evaluator=Evaluator( [compute_per_token_acc, compute_prefix_matching, compute_perplexity] ), ), - # max_new_tokens=ctx_args.max_new_tokens, - # gen_per_device_eval_batch_size=ctx_args.gen_per_device_eval_batch_size, ) logger.info(f"Training run finished and saved to {output_dir}") @@ -574,6 +384,7 @@ def main(): if __name__ == "__main__": os.environ["TRANSFORMERS_NO_ADVISORY_WARNINGS"] = "true" os.environ["TOKENIZERS_PARALLELISM"] = "true" + os.environ["WANDB_DIR"] = ".wandb/" os.environ["WANDB_PROJECT"] = "ctx_to_lora" os.environ["WANDB_WATCH"] = "" # "all" os.environ["WANDB_CONSOLE"] = "off" @@ -581,9 +392,9 @@ if __name__ == "__main__": # os.environ["KMP_AFFINITY"] = "disabled" # fixing iterable dataset stuck os.environ["OMP_NUM_THREADS"] = "23" # os.environ["HF_DATASETS_IN_MEMORY_MAX_SIZE"] = "137438953472" # 128 TB + torch.backends.cuda.matmul.allow_tf32 = True + torch.backends.cudnn.allow_tf32 = True + torch._dynamo.config.capture_scalar_outputs = True if os.getenv("DEBUG", False): disable_caching() - # randomly sleep to avoid run_name collision - # time.sleep(random.random() * 13) - # set_start_method("spawn", force=True) main() diff --git a/post_process_fw_qa.py b/post_process_fw_qa.py deleted file mode 100644 index 704b776..0000000 --- a/post_process_fw_qa.py +++ /dev/null @@ -1,216 +0,0 @@ -import re -import json -import random -from glob import glob - -import pandas as pd -import numpy as np -from datasets import Dataset - - -def get_repeat_prompts(ds): - unique_contexts = set() - ctxs, prompts, responses = [], [], [] - for ctx, prompt, response in zip(ds["context"], ds["prompt"], ds["response"]): - # Only process if the context is not already in the set - if ctx in unique_contexts: - continue - - unique_contexts.add(ctx) - ctxs.append(ctx) - responses.append(ctx) - prompts.append("Repeat the text above.") - - print(f"Adding repeat prompt...") - print(f"# unique contexts: {len(unique_contexts)}") - - return Dataset.from_pandas( - pd.DataFrame( - dict( - context=ctxs, - response=responses, - prompt=prompts, - ) - ) - ) - - -def get_negative_prompts(ds): - unique_contexts = set() - ctxs, prompts, responses = [], [], [] - keywords = [ - "repeat", - "rephrase", - "summarize", - "rewrite", - "title", - "keyword", - "continuation", - ] - - for ctx, prompt, response in zip(ds["context"], ds["prompt"], ds["response"]): - if ctx in unique_contexts: - continue - if any(keyword in prompt for keyword in keywords): - # Skip samples where the prompt contains any of the specified keywords - continue - - unique_contexts.add(ctx) - ctxs.append(ctx) - prompts.append(prompt) - responses.append(response) - - print(f"Adding negative prompt...") - print(f"# unique contexts: {len(unique_contexts)}") - - # remove one last sample if the number of samples is odd - if len(ctxs) % 2 != 0: - ctxs.pop() - prompts.pop() - responses.pop() - - # to make sure that the negative prompt/response is not the same as the original - indices = list(np.random.permutation(len(ctxs))) + list( - np.random.permutation(len(ctxs)) - ) - neg_ctxs, neg_prompts, neg_responses = [], [], [] - for idx in range(0, len(indices), 2): - i = indices[idx] - j = indices[idx + 1] - neg_ctxs.append(ctxs[i]) - neg_prompts.append(ctxs[j] + "\n\n" + prompts[j]) - neg_responses.append(responses[j]) - - return Dataset.from_pandas( - pd.DataFrame( - dict( - context=neg_ctxs, - prompt=neg_prompts, - response=neg_responses, - ) - ) - ) - - -def postprocess_qa_pairs(res_txt: str): - """ - Postprocesses the QA pairs from the response text. - - Args: - res_txt: The response text. - n_qa_pairs: The number of QA pairs. - - Returns: - A tuple of two lists, the first containing the questions and the second containing the answers. - """ - # capture everything after each "Question {number}:" until "Answer" - q_pattern = r"Question \d+:(.*?)(?=Answer|$)" # thanks chatgpt - questions = re.findall(q_pattern, res_txt, flags=re.S) - - a_pattern = r"Answer \d+:(.*?)(?=Question|$)" # thanks chatgpt - answers = re.findall(a_pattern, res_txt, flags=re.S) - - if len(questions) != len(answers): - print(f"Warning---number of questions and answers do not match") - print(f"Number of questions: {len(questions)}") - print(f"Number of answers: {len(answers)}") - - out_q = [] - out_a = [] - if (len(questions) > 0) and (len(answers) > 0): - for i in range(min(len(questions), len(answers))): - out_q.append(questions[i].strip()) - out_a.append(answers[i].strip()) - - return out_q, out_a - - -def get_response_txt(res_item): - try: - return res_item["response"]["body"]["choices"][0]["message"]["content"] - except Exception as e: - print(f"Error getting response: {e}") - return None - - -def get_prompt_txt(prompt_item): - try: - return prompt_item["body"]["messages"][1]["content"] - except Exception as e: - print(f"Error getting context: {e}") - return None - - -if __name__ == "__main__": - res_files = glob("openai_batches/fineweb_qa_pairs_*_res.jsonl") - prompt_files = [f.replace("_res.jsonl", ".jsonl") for f in res_files] - - for res_file, prompt_file in zip(res_files, prompt_files): - print(f"Processing {res_file} and {prompt_file}") - idx = int(prompt_file.split("/")[-1].split("_")[-1].split(".jsonl")[0]) - res_data = [] - prompt_data = [] - samples = [] - - # Load data from res_file - with open(res_file, "r") as f: - for line in f: - res_data.append(json.loads(line)) - - # Load data from prompt_file and create an index - prompt_data_index = {} - with open(prompt_file, "r") as f: - for line in f: - prompt_item = json.loads(line) - prompt_data_index[prompt_item.get("custom_id")] = prompt_item - - # Match JSON objects based on custom_id using the index - for res_item in res_data: - custom_id = res_item.get("custom_id") - prompt_item = prompt_data_index.get(custom_id) - if not prompt_item: - print(f"No prompt item found for {custom_id}") - continue - res_txt = get_response_txt(res_item) - if not res_txt: - print(f"No response text found for {custom_id}") - continue - questions, answers = postprocess_qa_pairs(res_txt) - if not questions or not answers: - print(f"No questions or answers found for {custom_id}") - continue - context = get_prompt_txt(prompt_item).split("### Context ###")[-1] - for q, a in zip(questions, answers): - samples.append( - { - "context": context, - "prompt": q, - "response": a, - } - ) - - print(f"Found {len(samples)} samples in {res_file} and {prompt_file}") - random.shuffle(samples) - df = pd.DataFrame(samples) - ds = Dataset.from_pandas(df) - val_ds = ds.take(100) - ds = ds.skip(100) - - ds.to_parquet(f"data/raw_datasets/fw_qa/{idx:05d}.parquet") - val_ds.to_parquet(f"data/raw_datasets/fw_qa/{idx:05d}_val.parquet") - print(f"Saved to data/raw_datasets/fw_qa/{idx:05d}.parquet") - print(f"Saved to data/raw_datasets/fw_qa/{idx:05d}_val.parquet") - - # add repeat and negative prompt - repeat_ds = get_repeat_prompts(ds).shuffle(seed=42) - repeat_ds.to_parquet(f"data/raw_datasets/fw_qa/{idx:05d}_repeat.parquet") - print(f"repeat_ds: {len(repeat_ds)}") - print( - f"Saved {idx:05d}_repeat.parquet to data/raw_datasets/fw_qa/{idx:05d}_repeat.parquet" - ) - neg_ds = get_negative_prompts(ds).shuffle(seed=42) - neg_ds.to_parquet(f"data/raw_datasets/fw_qa/{idx:05d}_neg.parquet") - print(f"neg_ds: {len(neg_ds)}") - print( - f"Saved {idx:05d}_neg.parquet to data/raw_datasets/fw_qa/{idx:05d}_neg.parquet" - ) diff --git a/post_process_parallel_qa.py b/post_process_parallel_qa.py deleted file mode 100644 index 2d9483c..0000000 --- a/post_process_parallel_qa.py +++ /dev/null @@ -1,212 +0,0 @@ -import json -import re -import os -from glob import glob - -import numpy as np -import pandas as pd -from datasets import Dataset - - -def get_repeat_prompts(ds): - unique_contexts = set() - ctxs, prompts, responses = [], [], [] - for ctx, prompt, response in zip(ds["context"], ds["prompt"], ds["response"]): - # Only process if the context is not already in the set - if ctx in unique_contexts: - continue - - unique_contexts.add(ctx) - ctxs.append(ctx) - responses.append(ctx) - prompts.append("Repeat the text above.") - - print(f"Adding repeat prompt...") - print(f"# unique contexts: {len(unique_contexts)}") - - return Dataset.from_pandas( - pd.DataFrame( - dict( - context=ctxs, - response=responses, - prompt=prompts, - ) - ) - ) - - -def get_negative_prompts(ds): - unique_contexts = set() - ctxs, prompts, responses = [], [], [] - keywords = [ - "repeat", - "rephrase", - "summarize", - "rewrite", - "title", - "keyword", - "continuation", - ] - - for ctx, prompt, response in zip(ds["context"], ds["prompt"], ds["response"]): - if ctx in unique_contexts: - continue - if any(keyword in prompt for keyword in keywords): - # Skip samples where the prompt contains any of the specified keywords - continue - - unique_contexts.add(ctx) - ctxs.append(ctx) - prompts.append(prompt) - responses.append(response) - - print(f"Adding negative prompt...") - print(f"# unique contexts: {len(unique_contexts)}") - - # remove one last sample if the number of samples is odd - if len(ctxs) % 2 != 0: - ctxs.pop() - prompts.pop() - responses.pop() - - # to make sure that the negative prompt/response is not the same as the original - indices = list(np.random.permutation(len(ctxs))) + list( - np.random.permutation(len(ctxs)) - ) - neg_ctxs, neg_prompts, neg_responses = [], [], [] - for idx in range(0, len(indices), 2): - i = indices[idx] - j = indices[idx + 1] - neg_ctxs.append(ctxs[i]) - neg_prompts.append(ctxs[j] + "\n\n" + prompts[j]) - neg_responses.append(responses[j]) - - return Dataset.from_pandas( - pd.DataFrame( - dict( - context=neg_ctxs, - prompt=neg_prompts, - response=neg_responses, - ) - ) - ) - - -def postprocess_qa_pairs(res_txt: str): - """ - Postprocesses the QA pairs from the response text. - - Args: - res_txt: The response text. - n_qa_pairs: The number of QA pairs. - - Returns: - A tuple of two lists, the first containing the questions and the second containing the answers. - """ - # capture everything after each "Question {number}:" until "Answer" - q_pattern = r"Question \d+:(.*?)(?=Answer|$)" # thanks chatgpt - questions = re.findall(q_pattern, res_txt, flags=re.S) - - a_pattern = r"Answer \d+:(.*?)(?=Question|$)" # thanks chatgpt - answers = re.findall(a_pattern, res_txt, flags=re.S) - - c_pattern = r"Continuation:\s*(.*)" # thanks chatgpt - continuations = re.findall(c_pattern, res_txt, flags=re.S) - - if len(questions) != len(answers): - print(f"Warning---number of questions and answers do not match") - print(f"Number of questions: {len(questions)}") - print(f"Number of answers: {len(answers)}") - - out_q = [] - out_a = [] - if (len(questions) > 0) and (len(answers) > 0): - for i in range(min(len(questions), len(answers))): - out_q.append(questions[i].strip()) - out_a.append(answers[i].strip()) - - if len(continuations) > 0: - assert len(continuations) == 1 - continuations[0] = continuations[0].strip() - - return out_q, out_a, continuations - - -if __name__ == "__main__": - file_pattern = os.sys.argv[1] - files = glob(file_pattern) - print(f"Files: {files}") - print(f"Processing {len(files)} files") - for file in files: - fname = os.path.basename(file).replace(".jsonl", "") - samples = [] - unique_contexts = set() - with open(file, "r") as f: - while True: - line = f.readline() - if not line: - break # End of file - try: - json_obj = json.loads(line) - except Exception as e: - print(f"Error loading JSON: {e}") - continue - - if not isinstance(json_obj[1], dict): - print(f"Error: {json_obj[1]} is not a dictionary") - continue - - prompt_txt = json_obj[0]["messages"][1]["content"].split( - "### Context ###" - )[-1] - res_txt = json_obj[1]["choices"][0]["message"]["content"] - questions, answers, continuations = postprocess_qa_pairs(res_txt) - unique_contexts.add(prompt_txt) - for q, a in zip(questions, answers): - samples.append( - { - "context": prompt_txt, - "prompt": q, - "response": a, - } - ) - if continuations: - samples.append( - { - "context": prompt_txt, - "prompt": "Write a 1-paragraph continuation of the text.", - "response": continuations[0], - } - ) - df = pd.DataFrame(samples) - - # raise NotImplementedError - ds = Dataset.from_pandas(df).shuffle(seed=42) - print( - f"Created {len(ds)} samples from {file} with {len(unique_contexts)} unique contexts" - ) - val_ds = ds.take(500) - ds = ds.skip(500) - ds.to_parquet(f"data/raw_datasets/ctx_qa/{fname}.parquet") - val_ds.to_parquet(f"data/raw_datasets/ctx_qa/{fname}_val.parquet") - print(f"Saved {fname} to data/raw_datasets/ctx_qa/{fname}.parquet") - print(f"Saved {fname}_val to data/raw_datasets/ctx_qa/{fname}_val.parquet") - # add repeat and negative prompt - repeat_ds = get_repeat_prompts(ds).shuffle(seed=42) - repeat_ds.to_parquet(f"data/raw_datasets/ctx_qa/{fname}_repeat.parquet") - print(f"repeat_ds: {len(repeat_ds)}") - print( - f"Saved {fname}_repeat.parquet to data/raw_datasets/ctx_qa/{fname}_repeat.parquet" - ) - neg_ds = get_negative_prompts(ds).shuffle(seed=42) - neg_ds.to_parquet(f"data/raw_datasets/ctx_qa/{fname}_neg.parquet") - print(f"neg_ds: {len(neg_ds)}") - print( - f"Saved {fname}_neg.parquet to data/raw_datasets/ctx_qa/{fname}_neg.parquet" - ) - # val_ds = ds.take(500) - # ds = ds.skip(500) - # ds.to_parquet(f"data/raw_datasets/fw_qa_large/{fname}.parquet") - # val_ds.to_parquet(f"data/raw_datasets/fw_qa_large/{fname}_val.parquet") - # print(f"Saved {fname} to data/raw_datasets/fw_qa_large/{fname}.parquet") - # print(f"Saved {fname}_val to data/raw_datasets/fw_qa_large/{fname}_val.parquet") diff --git a/process_automathtext_arxiv.py b/process_automathtext_arxiv.py deleted file mode 100644 index 81324b0..0000000 --- a/process_automathtext_arxiv.py +++ /dev/null @@ -1,92 +0,0 @@ -import random -import os -import json -import ast - -from glob import glob -from tqdm import tqdm -import numpy as np -import matplotlib.pyplot as plt -from datasets import load_dataset, Dataset -from huggingface_hub import snapshot_download -from transformers import set_seed - - -# NOTE: Please, store your openai key with "export OPENAI_API_KEY=..." -api_key = os.environ.get("OPENAI_API_KEY") - - -SYSTEM_TEMPLATE = "You are a strong math assistant. You'll be reviewing a math paper and generating questions and answers from the paper." - -# based on Make Your LLM Fully Utilize the Context (https://arxiv.org/pdf/2404.16811) -PROMPT_TEMPLATE = ( - "Generate questions and corresponding answers from the given context. The questions should be highly specific to the " - "mathematical knowledge in the context, not general questions that suits any context.\n\n" - "Rules to follow when generate the questions:\n" - "1. The questions must be fully answerable from mathematical information and knowledge present in given context.\n" - "2. Make sure the questions are clear and unambiguous.\n" - "3. The questions should not focus on the formatting or LaTeX code of the context.\n" - "4. The questions should require the mathematical knowledge and information present in the context.\n\n" - "Rules to follow when generate the answers:\n" - "1. The answers must use the information provided in the context.\n" - "2. The answer should be informative and explain in detail how to arrive at the answer based on the given math content.\n" - "3. Make sure that the explanation includes all the necessary steps and details to arrive at the answer.\n\n" - "Response with {n_qa_pairs} question-answer pairs.\n" - "The question-answer pairs should be in the following format:\n" - "Question 1: {{question_1}}\n" - "Answer 1: {{answer_1}}\n" - "Question 2: {{question_2}}\n" - "Answer 2: {{answer_2}}\n" - "..." - "\n\n" - "### Context ###\n" - "{txt}" -) - - -def get_prompt(txt, n_qa_pairs): - prompt = PROMPT_TEMPLATE.format(txt=txt, n_qa_pairs=n_qa_pairs) - return prompt - - -def get_json_request(txt, n_qa_pairs, gpt_model_name): - prompt = get_prompt(txt, n_qa_pairs) - messages = [ - {"role": "system", "content": SYSTEM_TEMPLATE}, - {"role": "user", "content": prompt}, - ] - return { - "model": gpt_model_name, - "messages": messages, - "temperature": 1.0, - "frequency_penalty": 0.2, - } - - -def remove_too_long(samples): - return [len(text) < 10_000 for text in samples["text"]] - - -if __name__ == "__main__": - set_seed(42) - ds = load_dataset( - "math-ai/AutoMathText", - "arxiv-0.60-to-1.00", - split="train", - trust_remote_code=True, - ) - ds = ds.filter(remove_too_long, batched=True) - print(f"Filtered ds size: {len(ds)}") - - os.makedirs("openai_batches", exist_ok=True) - lines = [] - for sample in tqdm(ds): - code = sample["text"] - if not code: - continue - jsonl = get_json_request(code, n_qa_pairs=2, gpt_model_name="gpt-4o-mini") - lines.append(jsonl) - - with open(f"openai_batches/automathtext_arxiv_qa_pairs.jsonl", "w") as f: - for line in lines: - f.write(json.dumps(line) + "\n") diff --git a/process_automathtext_code_python.py b/process_automathtext_code_python.py deleted file mode 100644 index bcc7745..0000000 --- a/process_automathtext_code_python.py +++ /dev/null @@ -1,93 +0,0 @@ -import random -import os -import json -import ast - -from glob import glob -from tqdm import tqdm -import numpy as np -import matplotlib.pyplot as plt -from datasets import load_dataset, Dataset -from huggingface_hub import snapshot_download -from transformers import set_seed - - -# NOTE: Please, store your openai key with "export OPENAI_API_KEY=..." -api_key = os.environ.get("OPENAI_API_KEY") - - -SYSTEM_TEMPLATE = "You are a creative and helpful assistant." - -# based on Make Your LLM Fully Utilize the Context (https://arxiv.org/pdf/2404.16811) -PROMPT_TEMPLATE = ( - "Generate questions and corresponding answers from the given code. The questions should be highly specific to the " - "algorithm implemented in the code, not general questions that suits any code.\n\n" - "Rules to follow when generate the questions:\n" - "1. The questions must be fully answerable from information present in given code. " - "For example, 'What does function `add_two_numbers` do?' or 'What is the purpose of variable `x` in function `add_two_numbers`?'\n" - "2. Make sure the questions are clear and unambiguous.\n\n" - "Rules to follow when generate the answers:\n" - "1. The answers must use the information provided in the code. " - "For example, 'It adds two numbers by using the `+` operator.' or " - "'Variable `x` in function `add_two_numbers` is used to store the result of the addition.'\n\n" - "Response with {n_qa_pairs} question-answer pairs.\n" - "Be creative and think of questions that are not obvious.\n" - "Use simple words and please be clear.\n" - "The question-answer pairs should be in the following format:\n" - "Question 1: {{question_1}}\n" - "Answer 1: {{answer_1}}\n" - "Question 2: {{question_2}}\n" - "Answer 2: {{answer_2}}\n" - "..." - "\n\n" - "### Code ###\n" - "{code}" -) - - -def get_prompt(code, n_qa_pairs): - prompt = PROMPT_TEMPLATE.format(code=code, n_qa_pairs=n_qa_pairs) - return prompt - - -def get_json_request(code, n_qa_pairs, gpt_model_name): - prompt = get_prompt(code, n_qa_pairs) - messages = [ - {"role": "system", "content": SYSTEM_TEMPLATE}, - {"role": "user", "content": prompt}, - ] - return { - "model": gpt_model_name, - "messages": messages, - "temperature": 1.0, - "frequency_penalty": 0.2, - } - - -def remove_too_long(samples): - return [len(text) < 10_000 for text in samples["text"]] - - -if __name__ == "__main__": - set_seed(42) - ds = load_dataset( - "math-ai/AutoMathText", - "code-python-0.80-to-1.00", - split="train", - trust_remote_code=True, - ) - ds = ds.filter(remove_too_long, batched=True) - print(f"Filtered ds size: {len(ds)}") - - os.makedirs("openai_batches", exist_ok=True) - lines = [] - for sample in tqdm(ds): - code = sample["text"] - if not code: - continue - jsonl = get_json_request(code, n_qa_pairs=2, gpt_model_name="gpt-4o-mini") - lines.append(jsonl) - - with open(f"openai_batches/automathtext_code_python_qa_pairs.jsonl", "w") as f: - for line in lines: - f.write(json.dumps(line) + "\n") diff --git a/process_automathtext_web.py b/process_automathtext_web.py deleted file mode 100644 index de5e941..0000000 --- a/process_automathtext_web.py +++ /dev/null @@ -1,92 +0,0 @@ -import random -import os -import json -import ast - -from glob import glob -from tqdm import tqdm -import numpy as np -import matplotlib.pyplot as plt -from datasets import load_dataset, Dataset -from huggingface_hub import snapshot_download -from transformers import set_seed - - -# NOTE: Please, store your openai key with "export OPENAI_API_KEY=..." -api_key = os.environ.get("OPENAI_API_KEY") - - -SYSTEM_TEMPLATE = "You are a strong math teaching assistant. You'll be reviewing a web page related to math and generating questions and answers from the page." - -# based on Make Your LLM Fully Utilize the Context (https://arxiv.org/pdf/2404.16811) -PROMPT_TEMPLATE = ( - "Generate questions and corresponding answers from the given context. The questions should be highly specific to the " - "mathematical knowledge in the context, not general questions that suits any context.\n\n" - "Rules to follow when generate the questions:\n" - "1. The questions must be fully answerable from mathematical information present in given context.\n" - "2. Make sure the questions are clear and unambiguous.\n" - "3. The questions should not focus on the formatting or LaTeX code of the context.\n" - "4. The questions should require the mathematical knowledge and information present in the context.\n\n" - "Rules to follow when generate the answers:\n" - "1. The answers must use the information provided in the context.\n" - "2. The answer should be informative and explain in detail how to arrive at the answer based on the given math content.\n" - "3. Make sure that the explanation includes all the necessary steps and details to arrive at the answer.\n\n" - "Response with {n_qa_pairs} question-answer pairs.\n" - "The question-answer pairs should be in the following format:\n" - "Question 1: {{question_1}}\n" - "Answer 1: {{answer_1}}\n" - "Question 2: {{question_2}}\n" - "Answer 2: {{answer_2}}\n" - "..." - "\n\n" - "### Context ###\n" - "{txt}" -) - - -def get_prompt(txt, n_qa_pairs): - prompt = PROMPT_TEMPLATE.format(txt=txt, n_qa_pairs=n_qa_pairs) - return prompt - - -def get_json_request(txt, n_qa_pairs, gpt_model_name): - prompt = get_prompt(txt, n_qa_pairs) - messages = [ - {"role": "system", "content": SYSTEM_TEMPLATE}, - {"role": "user", "content": prompt}, - ] - return { - "model": gpt_model_name, - "messages": messages, - "temperature": 1.0, - "frequency_penalty": 0.2, - } - - -def remove_too_long(samples): - return [len(text) < 10_000 for text in samples["text"]] - - -if __name__ == "__main__": - set_seed(42) - ds = load_dataset( - "math-ai/AutoMathText", - "web-0.80-to-1.00", - split="train", - trust_remote_code=True, - ) - ds = ds.filter(remove_too_long, batched=True) - print(f"Filtered ds size: {len(ds)}") - - os.makedirs("openai_batches", exist_ok=True) - lines = [] - for sample in tqdm(ds): - code = sample["text"] - if not code: - continue - jsonl = get_json_request(code, n_qa_pairs=2, gpt_model_name="gpt-4o-mini") - lines.append(jsonl) - - with open(f"openai_batches/automathtext_web_qa_pairs.jsonl", "w") as f: - for line in lines: - f.write(json.dumps(line) + "\n") diff --git a/process_codeparrot_qa.py b/process_codeparrot_qa.py deleted file mode 100644 index d363284..0000000 --- a/process_codeparrot_qa.py +++ /dev/null @@ -1,90 +0,0 @@ -import random -import os -import json -import ast - -from glob import glob -from tqdm import tqdm -import numpy as np -import matplotlib.pyplot as plt -from datasets import load_dataset, Dataset -from huggingface_hub import snapshot_download -from transformers import set_seed - - -# NOTE: Please, store your openai key with "export OPENAI_API_KEY=..." -api_key = os.environ.get("OPENAI_API_KEY") - - -SYSTEM_TEMPLATE = "You are a creative and helpful assistant." - -# based on Make Your LLM Fully Utilize the Context (https://arxiv.org/pdf/2404.16811) -PROMPT_TEMPLATE = ( - "Generate questions and corresponding answers from the given code. The questions should be highly specific to the " - "algorithm implemented in the code, not general questions that suits any code.\n\n" - "Rules to follow when generate the questions:\n" - "1. The questions must be fully answerable from information present in given code. " - "For example, 'What does function `add_two_numbers` do?' or 'What is the purpose of variable `x` in function `add_two_numbers`?'\n" - "2. Make sure the questions are clear and unambiguous.\n\n" - "Rules to follow when generate the answers:\n" - "1. The answers must use the information provided in the code. " - "For example, 'It adds two numbers by using the `+` operator.' or " - "'Variable `x` in function `add_two_numbers` is used to store the result of the addition.'\n\n" - "Response with {n_qa_pairs} question-answer pairs.\n" - "Be creative and think of questions that are not obvious.\n" - "Use simple words and please be clear.\n" - "The question-answer pairs should be in the following format:\n" - "Question 1: {{question_1}}\n" - "Answer 1: {{answer_1}}\n" - "Question 2: {{question_2}}\n" - "Answer 2: {{answer_2}}\n" - "..." - "\n\n" - "### Code ###\n" - "{code}" -) - - -def get_prompt(code, n_qa_pairs): - prompt = PROMPT_TEMPLATE.format(code=code, n_qa_pairs=n_qa_pairs) - return prompt - - -def get_json_request(code, n_qa_pairs, gpt_model_name): - prompt = get_prompt(code, n_qa_pairs) - messages = [ - {"role": "system", "content": SYSTEM_TEMPLATE}, - {"role": "user", "content": prompt}, - ] - return { - "model": gpt_model_name, - "messages": messages, - "temperature": 1.0, - "frequency_penalty": 0.2, - } - - -def remove_too_long(samples): - return [len(text) < 10_000 for text in samples["content"]] - - -if __name__ == "__main__": - set_seed(42) - ds = load_dataset( - "codeparrot/codeparrot-clean-valid", split="train", trust_remote_code=True - ) - ds = ds.filter(remove_too_long, batched=True) - print(f"Filtered ds size: {len(ds)}") - - os.makedirs("openai_batches", exist_ok=True) - lines = [] - for sample in tqdm(ds): - code = sample["content"] - if not code: - continue - jsonl = get_json_request(code, n_qa_pairs=2, gpt_model_name="gpt-4o-mini") - lines.append(jsonl) - - with open(f"openai_batches/code_parrot_qa_pairs.jsonl", "w") as f: - for line in lines: - f.write(json.dumps(line) + "\n") diff --git a/process_fineweb.py b/process_fineweb.py deleted file mode 100644 index b8a6ac2..0000000 --- a/process_fineweb.py +++ /dev/null @@ -1,39 +0,0 @@ -import random -from glob import glob - -from datasets import load_dataset, Dataset -from huggingface_hub import snapshot_download -from transformers import set_seed - - -def remove_too_long(samples): - return [len(text) < 10_000 for text in samples["text"]] - - -if __name__ == "__main__": - set_seed(42) - fw_dir = "./data/raw_datasets/fineweb/" - snapshot_download( - "HuggingFaceFW/fineweb", - repo_type="dataset", - local_dir=fw_dir, - allow_patterns="sample/100BT/*", - ) - # # https://github.com/huggingface/datasets/issues/7047#issuecomment-2233163406 - # num_shards_per_file = 16 - # sharded_fw_dir = "./data/raw_datasets/fineweb_sharded/" - # output_path_template = f"{sharded_fw_dir}" + "/{i:02d}_{idx:05d}.parquet" - - # for i, f in enumerate(sorted(glob(f"{fw_dir}/sample/100BT/*.parquet"))): - # # ~1M rows ~= 2GB mem required per file - # ds = Dataset.from_parquet(f) - # ds = ds.filter(remove_too_long, batched=True) - # print(f"Filtered ds size: {len(ds)}") - # ds = ds.shuffle(seed=42 + i) - # # take one shard (from 16 shards) per file - # # idx = random.sample(range(num_shards_per_file), 1)[0] - # # shard = ds.shard(index=idx, num_shards=num_shards_per_file, contiguous=False) - # # shard.to_parquet(output_path_template.format(index=i)) - # for idx in range(num_shards_per_file): - # shard = ds.shard(index=idx, num_shards=num_shards_per_file, contiguous=True) - # shard.to_parquet(output_path_template.format(i=i, idx=idx)) diff --git a/process_openphi_prog.py b/process_openphi_prog.py deleted file mode 100644 index c8bd742..0000000 --- a/process_openphi_prog.py +++ /dev/null @@ -1,91 +0,0 @@ -import random -import os -import json -from glob import glob -from tqdm import tqdm -import numpy as np -import matplotlib.pyplot as plt -from datasets import load_dataset, Dataset -from huggingface_hub import snapshot_download -from transformers import set_seed - - -# NOTE: Please, store your openai key with "export OPENAI_API_KEY=..." -api_key = os.environ.get("OPENAI_API_KEY") - - -SYSTEM_TEMPLATE = "You are a creative and helpful assistant." - -# based on Make Your LLM Fully Utilize the Context (https://arxiv.org/pdf/2404.16811) -PROMPT_TEMPLATE = ( - "Generate questions and corresponding answers from the given context. The questions should be highly specific to the " - "information provided in the context, not general questions that suits any context.\n" - "Finally, provide a plausible 1-paragraph continuation of the context. " - "The continuation should reference information in the context in some way.\n\n" - "Rules to follow when generate the questions:\n" - "1. The questions must be fully answerable from information present in given context.\n" - "2. Make sure the questions are clear and unambiguous.\n" - "3. Phrases like 'based on the provided context', 'according to the context', etc, are not allowed to appear in " - "the questions.\n\n" - "Rules to follow when generate the answers:\n" - "1. The answers must use the information provided in the context.\n" - "2. Do not just copy words from the context. Answer the question in your own words.\n\n" - "Response with {n_qa_pairs} question-answer pairs.\n" - "After the question-answer pairs, provide a plausible continuation of the context.\n" - "Use simple words and please be clear.\n" - "The question-answer pairs should be in the following format:\n" - "Question 1: {{question_1}}\n" - "Answer 1: {{answer_1}}\n" - "Question 2: {{question_2}}\n" - "Answer 2: {{answer_2}}\n" - "...\n" - "Continuation: {{continuation}}\n" - "\n\n" - "### Context ###\n" - "{context}" -) - - -def get_prompt(context, n_qa_pairs): - prompt = PROMPT_TEMPLATE.format(context=context, n_qa_pairs=n_qa_pairs) - return prompt - - -def get_json_request(id, text, n_qa_pairs, gpt_model_name): - prompt = get_prompt(text, n_qa_pairs) - messages = [ - {"role": "system", "content": SYSTEM_TEMPLATE}, - {"role": "user", "content": prompt}, - ] - return { - "model": gpt_model_name, - "messages": messages, - "temperature": 1.0, - "frequency_penalty": 0.2, - } - - -def remove_too_long(samples): - return [len(text) < 10_000 for text in samples["markdown"]] - - -if __name__ == "__main__": - set_seed(42) - ds = load_dataset("open-phi/programming_books_llama", split="train") - ds = ds.filter(remove_too_long, batched=True) - print(f"Filtered ds size: {len(ds)}") - - os.makedirs("openai_batches", exist_ok=True) - lines = [] - for i, sample in tqdm(enumerate(ds)): - jsonl = get_json_request( - f"openphi_prog_{i}", - sample["markdown"], - n_qa_pairs=2, - gpt_model_name="gpt-4o-mini", - ) - lines.append(jsonl) - - with open(f"openai_batches/openphi_prog_qa_pairs.jsonl", "w") as f: - for line in lines: - f.write(json.dumps(line) + "\n") diff --git a/pyproject.toml b/pyproject.toml index 3585565..2fbf0d3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,8 +10,8 @@ dependencies = [ "deepspeed==0.16.7", "accelerate==1.6.0", "datasets==3.6.0", + "setuptools", "peft", - "bitsandbytes", "jupyter", "matplotlib", "hf_transfer", @@ -35,15 +35,22 @@ dependencies = [ requires = ["setuptools>=61.0"] build-backend = "setuptools.build_meta" -[tool.isort] -profile = "black" - - -[tool.black] -line-length = 89 - [tool.pyright] exclude = [ + "**/node_modules", + "**/__pycache__", + "**/.*", + ".venv", + ".github", + ".vscode", + "chat_templates", + "eval_results", + "configs", + "EditingLlama", + "icae_v2", + "lm-evaluation-harness", + "LongBench", + "scripts", "train_outputs", "data", "generated_tasks", @@ -55,4 +62,9 @@ exclude = [ typeCheckingMode = "off" [tool.ruff] -line-length = 89 +line-length = 88 +select = ["F401"] # remove unused imports +ignore = ["E", "F"] + +[tool.isort] +profile = "black" diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index cf54865..0000000 --- a/requirements.txt +++ /dev/null @@ -1,13 +0,0 @@ -einops -jaxtyping -liger-kernel -rouge-score -transformers==4.51.1 -# vllm==0.8.3 -deepspeed==0.15.4 # curretly 0.16.2 -accelerate==1.2.1 -# visualization -tensorboard -flask -pandas -plotly diff --git a/run.sh b/run.sh deleted file mode 100755 index 6968e3b..0000000 --- a/run.sh +++ /dev/null @@ -1,9 +0,0 @@ -job_id=$(sbatch --parsable batch.sh "$@") -while ! scontrol show job "$job_id" | grep -q "JobState=RUNNING"; do - echo "Waiting for job $job_id to start..." - sleep 5 -done - -echo "Job $job_id started" - -sattach $job_id.0 diff --git a/src/ctx_to_lora/run_lm_eval.py b/run_lm_eval.py similarity index 97% rename from src/ctx_to_lora/run_lm_eval.py rename to run_lm_eval.py index be9153b..e7a51ca 100644 --- a/src/ctx_to_lora/run_lm_eval.py +++ b/run_lm_eval.py @@ -1,15 +1,14 @@ -import sys -import os -import json -import torch -import lm_eval -from lm_eval.models.huggingface import HFLM -from lm_eval.models.vllm_causallms import VLLM -from transformers import AutoTokenizer, AutoModelForCausalLM -from peft import PeftModel, PeftConfig import argparse +import json +import os -from ctx_to_lora.modeling_utils import ( +import lm_eval +import torch +from lm_eval.models.huggingface import HFLM +from peft import PeftConfig, PeftModel +from transformers import AutoModelForCausalLM, AutoTokenizer + +from ctx_to_lora.modeling.hypernet import ( ModulatedModelWithSharedInput, ModulatedPretrainedModel, ) diff --git a/setup.py b/setup.py index f6c53cc..6218bb5 100644 --- a/setup.py +++ b/setup.py @@ -1,7 +1,7 @@ # read the contents of the README file from pathlib import Path -from setuptools import find_packages, setup +from setuptools import setup this_directory = Path(__file__).parent long_description = (this_directory / "README.md").read_text() diff --git a/src/ctx_to_lora/configs.py b/src/ctx_to_lora/configs.py index f72d90b..81222a6 100644 --- a/src/ctx_to_lora/configs.py +++ b/src/ctx_to_lora/configs.py @@ -2,12 +2,16 @@ import dataclasses import os import sys from dataclasses import dataclass, field -from enum import Enum, auto -from typing import Any, Dict, List, Literal, NewType, Optional, Tuple +from enum import Enum +from typing import Any, Literal, NewType import torch import yaml -from transformers import MODEL_FOR_CAUSAL_LM_MAPPING, HfArgumentParser, TrainingArguments +from transformers import ( + MODEL_FOR_CAUSAL_LM_MAPPING, + HfArgumentParser, + TrainingArguments, +) MODEL_CONFIG_CLASSES = list(MODEL_FOR_CAUSAL_LM_MAPPING.keys()) MODEL_TYPES = tuple(conf.model_type for conf in MODEL_CONFIG_CLASSES) @@ -18,7 +22,7 @@ DataClassType = NewType("DataClassType", Any) class ArgumentParser(HfArgumentParser): def parse_yaml_and_args( - self, yaml_arg: str, other_args: Optional[list[str]] = None + self, yaml_arg: str, other_args: list[str] | None = None ) -> list[dataclass]: """ Parse a YAML file and overwrite the default/loaded values with the values provided to the command line. @@ -129,6 +133,10 @@ class ExperimentSetup(str, Enum): @dataclass class TrainingArguments(TrainingArguments): + tf32: bool = field( + default=True, + metadata={"help": "Whether to use tf32 precision."}, + ) dataloader_pin_memory: bool = field( default=True, metadata={"help": "Whether to pin memory in data loaders or not."}, @@ -143,11 +151,11 @@ class TrainingArguments(TrainingArguments): }, ) dataloader_prefetch_factor: int = field( - default=2, + default=8, metadata={"help": "Number of batches loaded in advance by each worker."}, ) dataloader_num_workers: int = field( - default=4, + default=8, metadata={"help": "Number of subprocesses to use for data loading."}, ) optim: str = field( @@ -256,15 +264,15 @@ class ModelArguments: @dataclass class LoRAArguments: - lora_r: Optional[int] = field( + lora_r: int | None = field( default=8, metadata={"help": ("LoRA R value.")}, ) - lora_dropout: Optional[float] = field( + lora_dropout: float | None = field( default=0.02, metadata={"help": ("LoRA dropout.")}, ) - target_modules: Optional[list[str]] = field( + target_modules: list[str] | None = field( default=None, metadata={"help": ("LoRA target modules.")}, ) @@ -284,11 +292,11 @@ class CtxTrainingArguments: default=None, metadata={"help": "Path to the pretrained checkpoint."}, ) - max_base_len: Optional[int] = field( + max_base_len: int | None = field( default=2**13, metadata={"help": "Maximum base length for training."}, ) - max_ctx_len: Optional[int] = field( + max_ctx_len: int | None = field( default=2**13, metadata={"help": "Maximum context length for training."}, ) @@ -296,21 +304,21 @@ class CtxTrainingArguments: default=False, metadata={"help": "Whether to use sequence packing."}, ) - per_device_train_max_batch_len: Optional[int] = field( + per_device_train_max_batch_len: int | None = field( default=2**12, metadata={ "help": "Maximum batch length for training. Only used with multipack sampler." }, ) - max_new_tokens: Optional[int] = field( + max_new_tokens: int | None = field( default=2**10, metadata={"help": "Maximum new tokens for generation-based evaluation."}, ) - gen_per_device_eval_batch_size: Optional[int] = field( + gen_per_device_eval_batch_size: int | None = field( default=1, metadata={"help": "Per device evaluation batch size for generation."}, ) - notes: Optional[str] = field( + notes: str | None = field( default=None, metadata={"help": "Wandb notes for the experiment."}, ) @@ -342,19 +350,19 @@ class DataArguments: default=False, metadata={"help": "Whether to use streaming dataset for training."}, ) - val_ds_names: Optional[list[str]] = field( + val_ds_names: list[str] | None = field( default=None, metadata={"help": "Validation dataset names."}, ) - test_ds_names: Optional[list[str]] = field( + test_ds_names: list[str] | None = field( default=None, metadata={"help": "Test dataset names."}, ) - max_val_samples_per_ds: Optional[int] = field( + max_val_samples_per_ds: int | None = field( default=5000, metadata={"help": "Maximum number of validation samples per dataset."}, ) - max_test_samples_per_ds: Optional[int] = field( + max_test_samples_per_ds: int | None = field( default=1000, metadata={"help": "Maximum number of test samples per dataset."}, ) @@ -378,7 +386,7 @@ class HypernetArguments: default=0.0, metadata={"help": "Dropout rate for HyperLoRA."}, ) - extra_modules: Optional[list[str]] = field( + extra_modules: list[str] | None = field( default=None, metadata={"help": "Extra modules to train."}, ) @@ -402,7 +410,7 @@ class CtxEncoderArguments: default=None, metadata={"help": "Context encoder model name or path."}, ) - layer_idx: Optional[int] = field( + layer_idx: int | None = field( default=None, metadata={ "help": "Layer index for context encoder. " @@ -413,7 +421,6 @@ class CtxEncoderArguments: @dataclass class AggregatorArguments: - aggregator_type: Literal["pooler", "perceiver"] = field( default="pooler", metadata={"help": "Aggregator type for HyperLoRA."}, diff --git a/src/ctx_to_lora/data_definitions.py b/src/ctx_to_lora/data_definitions.py deleted file mode 100644 index 0efc52c..0000000 --- a/src/ctx_to_lora/data_definitions.py +++ /dev/null @@ -1,373 +0,0 @@ -from glob import glob - -IGNORE_INDEX = -100 - -FW_QA_PATHS = [ - f"data/raw_datasets/fw_qa/{i:05d}.parquet" for i in [0, 1, 6, 7, 8, 10, 22, 30, 35] -] - -TRANSFORMED_DATA_DIR = "data/processed_datasets" - -# approximate length of the datasets (train split) -# needed for streaming datasets -DS_LEN = { - "fw_qa_3_mini": 100_000, - "fw_qa_3_medium": 121_000_000, - "fw_qa_3": 270_000_000, - "fw_qa_xl": 27_000_000, - "ctx_qa": 300_000, - "pwc": 240_000, - "hotpot_qa": 100_000, - "squad": 90_000, - "drop": 77_000, - "narrativeqa": 40_000, - "quoref": 11_000, - "ropes": 11_000, - "synthetic_convqa": 40_000, -} - -LONGBENCH_TASKS = [ - "longbench/narrativeqa", - "longbench/qasper", - "longbench/multifieldqa_en", - "longbench/multifieldqa_zh", - "longbench/hotpotqa", - "longbench/2wikimqa", - "longbench/musique", - "longbench/dureader", - "longbench/gov_report", - "longbench/qmsum", - "longbench/multi_news", - "longbench/vcsum", -] - -LONGBENCH_E_TASKS = [ - "longbench/qasper_e", - "longbench/multifieldqa_en_e", - "longbench/hotpotqa_e", - "longbench/2wikimqa_e", - "longbench/gov_report_e", - "longbench/multi_news_e", -] - -DS_KWARGS = { - "hotpot_qa": dict( - train=dict(path="hotpotqa/hotpot_qa", name="fullwiki", split="train[900:]"), - validation=dict(path="hotpotqa/hotpot_qa", name="fullwiki", split="train[:900]"), - test=dict(path="hotpotqa/hotpot_qa", name="fullwiki", split="validation"), - ), - "hotpot_qa_tiny": dict( - train=dict(path="hotpotqa/hotpot_qa", name="fullwiki", split="train[900:2000]"), - validation=dict(path="hotpotqa/hotpot_qa", name="fullwiki", split="train[:900]"), - ), - "pwc": dict( - train=dict(path="sggetao/PwC", split="train[900:]"), - validation=dict(path="sggetao/PwC", split="train[:900]"), - test=dict(path="sggetao/PwC", split="test"), - ), - "pwc_tiny": dict( - train=dict(path="sggetao/PwC", split="train[900:2000]"), - validation=dict(path="sggetao/PwC", split="train[:900]"), - ), - "squad": dict( - train=dict(path="rajpurkar/squad", split="train[900:]"), - validation=dict(path="rajpurkar/squad", split="train[:900]"), - test=dict(path="rajpurkar/squad", split="validation"), - ), - # "fw_qa_tiny": dict( - # train=dict( - # path="parquet", - # data_files="data/raw_datasets/fw_qa/00000.parquet", - # split="train", - # ), - # validation=dict( - # path="parquet", - # data_files="data/raw_datasets/fw_qa/00000_val.parquet", - # split="train", - # ), - # ), - # "fw_qa": dict( - # train=dict( - # path="parquet", - # data_files=FW_QA_PATHS, - # split="train", - # ), - # validation=dict( - # path="parquet", - # data_files="data/raw_datasets/fw_qa/*_val.parquet", - # split="train", - # ), - # ), - # "fw_qa_large": dict( - # train=dict( - # path="parquet", - # data_files=glob("data/raw_datasets/fw_qa_large/*res.parquet"), - # split="train", - # ), - # validation=dict( - # path="parquet", - # data_files=glob("data/raw_datasets/fw_qa_large/*val.parquet"), - # split="train", - # ), - # ), - "fw_qa_xl": dict( - train=dict( - path="parquet", - data_files=glob("data/raw_datasets/fw_qa_xl/*[!val].parquet"), - split="train", - ), - validation=dict( - path="parquet", - data_files=glob("data/raw_datasets/fw_qa_xl/*val.parquet"), - split="train", - ), - # there is no explcit test for this ds - # used only for sanity check - test=dict( - path="parquet", - data_files=glob("data/raw_datasets/fw_qa_xl/*val.parquet"), - split="train", - ), - ), - # "fw_qa_2": dict( - # train=dict( - # path="parquet", - # data_files=glob("data/raw_datasets/fw_qa_2/*[!val].parquet"), - # split="train", - # ), - # validation=dict( - # path="parquet", - # data_files=glob("data/raw_datasets/fw_qa_2/*val.parquet"), - # split="train", - # ), - # ), - "fw_qa_3_mini": dict( - train=dict( - path="parquet", - data_files=glob("data/raw_datasets/fw_qa_3/000_00001.parquet"), - split="train[:100000]", - ), - ), - "fw_qa_3_medium": dict( - train=dict( - path="parquet", - data_files=glob("data/raw_datasets/fw_qa_3/00[0-5]*[!val].parquet"), - split="train", - ), - ), - "fw_qa_3": dict( - train=dict( - path="parquet", - data_files=glob("data/raw_datasets/fw_qa_3/*[!val].parquet"), - split="train", - ), - validation=dict( - path="parquet", - data_files=glob("data/raw_datasets/fw_qa_3/*val.parquet"), - split="train", - ), - ), - "ctx_qa": dict( - train=dict( - path="parquet", - data_files=glob("data/raw_datasets/ctx_qa/*res.parquet"), - split="train", - ), - validation=dict( - path="parquet", - data_files=glob("data/raw_datasets/ctx_qa/*val.parquet"), - split="train", - ), - # there is no explcit test for this ds - # used only for sanity check - test=dict( - path="parquet", - data_files=glob("data/raw_datasets/ctx_qa/*val.parquet"), - split="train", - ), - ), - "drop": dict( - train=dict( - path="ucinlp/drop", - split="train", - ), - ), - "narrativeqa": dict( - train=dict( - path="nvidia/ChatQA-Training-Data", - name="narrativeqa", - split="train", - ), - ), - "quoref": dict( - train=dict( - path="nvidia/ChatQA-Training-Data", - name="quoref", - split="train", - ), - ), - "ropes": dict( - train=dict( - path="nvidia/ChatQA-Training-Data", - name="ropes", - split="train", - ), - ), - "synthetic_convqa": dict( - train=dict( - path="nvidia/ChatQA-Training-Data", - name="synthetic_convqa", - split="train", - ), - ), - "booksum": dict( - train=dict( - path="kmfoda/booksum", - split="train", - ), - validation=dict( - path="kmfoda/booksum", - split="validation", - ), - test=dict( - path="kmfoda/booksum", - split="test", - ), - ), - "gov_report": dict( - train=dict( - path="ccdv/govreport-summarization", - split="train", - ), - validation=dict( - path="ccdv/govreport-summarization", - split="validation", - ), - test=dict( - path="ccdv/govreport-summarization", - split="test", - ), - ), - # "wikitext-2": dict( - # train=dict( - # path="EleutherAI/wikitext_document_level", - # name="wikitext-2-raw-v1", - # split="train", - # ), - # ), - # "wikitext-103": dict( - # train=dict( - # path="EleutherAI/wikitext_document_level", - # name="wikitext-103-raw-v1", - # split="train", - # ), - # ), - "gsm8k": dict( - train=dict( - path="openai/gsm8k", - name="main", - split="train[100:]", - ), - validation=dict( - path="openai/gsm8k", - name="main", - split="train[:100]", - ), - ), - "openmathintx-2": dict( - train=dict( - path="nvidia/OpenMathInstruct-2", - split="train_1M[:100000]", - ), - ), - "opencoder-edu": dict( - train=dict( - path="OpenCoder-LLM/opc-sft-stage2", - name="educational_instruct", - split="train[900:]", - ), - validation=dict( - path="OpenCoder-LLM/opc-sft-stage2", - name="educational_instruct", - split="train[:900]", - ), - ), - "triviaqa_retrieved": dict( - test=dict( - path="json", - data_files="data/eval/triviaqa/triviaqa_retrieved.jsonl", - split="train", - ), - ), - # for negative training and evaluating - "negative_nq": dict( - test=dict( - path="json", - data_files="data/raw_datasets/negative_natural_questions/validation.jsonl", - split="train", - ), - ), -} - -# LongBench kwargs -for ds_name in LONGBENCH_TASKS + LONGBENCH_E_TASKS: - DS_KWARGS[ds_name] = dict( - test=dict( - path="THUDM/LongBench", - name=ds_name.split("/")[-1], - split="test", - ) - ) - -# for training closed qa datasets, e.g., hotpot_qa, squad, etc. -CLOSED_QA_INTX_TEMPLATES = [ - "Answer the question based on the given passages. Only give me the answer and do not output any other words.\n\nQuestion: {input}", - "Answer without any explanation.\n\nQuestion: {input}", - "Based on the provided text, what is the answer to the following question? Provide only the answer.\n\nQuestion: {input}", - "Extract the answer to the question from the text. Be concise. Do not explain.\n\nQuestion: {input}", - "What is the answer to this question, based on the context? Respond with the answer only.\n\nQuestion: {input}", - "Provide a direct answer to the question using the given passages. Do not give any explanation.\n\nQuestion: {input}", - "Answer the question using only information from the provided text. No extra words.\n\nQuestion: {input}", - "From the passages, answer the question. Just the answer, please.\n\nQuestion: {input}", - "Give the answer to the question. Do not include any other text.\n\nQuestion: {input}", - "The answer to the question is in the text. Find it and state it clearly. No need for explanation.\n\nQuestion: {input}", - "Concisely answer the question based on the text provided. Don't include any other words. Just the answer.\n\nQuestion: {input}", - "Read the passages and answer the question with the minimal necessary words.\n\nQuestion: {input}", - "What is the direct response to the question, according to the text? Avoid explanation.\n\nQuestion: {input}", - "Please provide only the answer to the question, derived from the text.\n\nQuestion: {input}", - "Using the provided context, answer the question. Output the answer and nothing else.\n\nQuestion: {input}", - "Identify the answer in the text and present it without elaboration.\n\nQuestion: {input}", - "Answer the following question based on the text. Your answer should be brief and to the point. No explanation.\n\nQuestion: {input}", - "Based on the information given, what is the answer to the question? Only state the answer.\n\nQuestion: {input}", - "Find the answer to the question in the provided passages and write it down. No explanations.\n\nQuestion: {input}", - "The question is: {input}. Provide the answer based on the text, and nothing more.", - "Question: {input}\nAnswer directly based on the text provided. No extra words.", - "Question: {input}\nPlease provide the answer based on the text. No explanation is needed.", -] - - -EVAL_INTX_TEMPLATES = { - "negative_nq": "Answer the following question. Output only the answer and do not output any other words.\n\nQuestion: {input}", - "triviaqa_retrieved": "Answer the following question. Output only the answer and do not output any other words.\n\nQuestion: {input}", - "hotpot_qa": "Answer the following question. Output only the answer and do not output any other words.\n\nQuestion: {input}", - "squad": "Answer the following question. Output only the answer and do not output any other words.\n\nQuestion: {input}", - "longbench/qasper": 'Answer the question as concisely as you can, using a single phrase or sentence if possible.\nIf the question cannot be answered based on the information in the article, write "unanswerable".\nIf the question is a yes/no question, answer "yes", "no", or "unanswerable". Do not provide any explanation.\n\nQuestion: {input}', - "longbench/narrativeqa": "Answer the question as concisely as you can, using a single phrase if possible. Do not provide any explanation.\n\nQuestion: {input}", - "longbench/multifieldqa_en": "Answer the following question. Only output the answer and do not output any other words.\n\nQuestion: {input}", - # "longbench/multifieldqa_zh": "阅读以下文字并用中文简短回答：\n\n现在请基于上面的文章回答下面的问题，只告诉我答案，不要输出任何其他字词。\n\n问题：{input}", - "longbench/hotpotqa": "Answer the following question. Only output the answer and do not output any other words.\n\nQuestion: {input}", - "longbench/2wikimqa": "Answer the following question. Only output the answer and do not output any other words.\n\nQuestion: {input}", - "longbench/musique": "Answer the following question. Only output the answer and do not output any other words.\n\nQuestion: {input}", - # - # "longbench/dureader": "请基于给定的文章回答下述问题\n\n请基于上述文章回答下面的问题。\n\n问题：{input}", - "longbench/gov_report": "You are given a report by a government agency. Write a one-page summary of the report.", - "longbench/qmsum": "You are given a meeting transcript and a query containing a question or instruction. Answer the query based on the above meeting transcript.\n\nQuery: {input}", - "longbench/multi_news": "You are given several news passages. Write a one-page summary of all the news.", - # "longbench/vcsum": "下面有一段会议记录，请你阅读后，写一段总结，总结会议的内容。", -} -for ds_name in LONGBENCH_E_TASKS: - EVAL_INTX_TEMPLATES[ds_name] = EVAL_INTX_TEMPLATES[ds_name[:-2]] - -for ds_name in DS_KWARGS: - if ds_name not in EVAL_INTX_TEMPLATES: - EVAL_INTX_TEMPLATES[ds_name] = "{input}" diff --git a/src/ctx_to_lora/data_utils.py b/src/ctx_to_lora/data_utils.py deleted file mode 100644 index 9169075..0000000 --- a/src/ctx_to_lora/data_utils.py +++ /dev/null @@ -1,980 +0,0 @@ -import logging -import hashlib -import json -import random -from os import path -from typing import Any, Callable, Iterator, Optional - - -import datasets -import numpy as np -from datasets import load_dataset -from transformers import PreTrainedTokenizerBase - -from ctx_to_lora.training_utils import TRAINING_TASK -from ctx_to_lora.data_definitions import ( - DS_KWARGS, - EVAL_INTX_TEMPLATES, - TRANSFORMED_DATA_DIR, - IGNORE_INDEX, - CLOSED_QA_INTX_TEMPLATES, -) - -logger = logging.getLogger() - -# TODO: add continued pre-training pipeline - - -def closed_qa_prompting(prompt: str): - template = random.choice(CLOSED_QA_INTX_TEMPLATES) - return template.format(input=prompt) - - -# TODO: dont use closed_qa_prompting when training on self-generated responses -def get_preprocessing_fn( - ds_name: str, is_eval: bool -) -> Callable[[dict[str, Any]], dict[str, Any]]: - """ - Get preprocessing function for a specific dataset. - - Args: - ds_name: Name of the dataset - - Returns: - A preprocessing function that takes and returns a dictionary - """ - f = lambda x: x - - if ds_name.startswith("pwc"): - - def f(sample): - return { - "context": sample["input"], - "prompt": sample["prompt"], - "response": sample["answer"], - } - - elif ds_name.startswith("hotpot_qa"): - - def f(sample): - txt = "" - for p in sample["context"]["sentences"]: - txt += " " + "".join(p) - - q = sample["question"] - prompt = closed_qa_prompting(q) if not is_eval else q - - return { - "context": txt.strip(), - "prompt": prompt, - "response": sample["answer"], - } - - elif "squad" in ds_name: - - def f(sample): - q = sample["question"] - prompt = closed_qa_prompting(q) if not is_eval else q - return { - "context": sample["context"], - "prompt": prompt, - "response": sample["answers"]["text"][0], - } - - elif ds_name == "drop": - - def f(sample): - q = sample["question"] - prompt = closed_qa_prompting(q) if not is_eval else q - return { - "context": sample["passage"], - "prompt": prompt, - "response": ", ".join(sample["answers_spans"]["spans"]), - } - - elif ds_name in ["narrativeqa", "quoref", "ropes"]: - - def f(sample): - response = sample["answers"][0] - if isinstance(response, list): - response = response[0] - q = sample["messages"][-1]["content"] - prompt = closed_qa_prompting(q) if not is_eval else q - return { - "context": sample["document"], - "prompt": prompt, - "response": response, - } - - elif ds_name == "synthetic_convqa": - - def f(sample): - response = sample["answers"][0] - if isinstance(response, list): - response = response[0] - return { - "context": sample["document"], - "prompt": sample["messages"][-1]["content"], - "response": response, - } - - elif ds_name == "booksum": - prompt_templates = [ - "Summarization the provided text.", - "# Summary", - "### Summary", - "Summary of the text", - ] - # TODO: use these templates for training - # analysis_templates = [] - # summary_templates = [] - - def f(sample): - return { - "context": sample["chapter"], - "prompt": "Summarize the provided text.", - "response": sample["summary_text"], - } - - elif ds_name == "gov_report": - - def f(sample): - return { - "context": sample["report"], - "prompt": "Summarize the provided text.", - "response": sample["summary"], - } - - elif "wikitext" in ds_name: - - def f(sample): - return { - "context": sample["page"], - "prompt": "PLAECHOLDER", - "response": "PLAECHOLDER", - } - - elif ds_name == "openmathintx-2": - - def f(sample): - return { - "context": sample["problem"], - "prompt": sample["problem"], - "response": sample["generated_solution"], - } - - elif "gsm8k" in ds_name: - - def f(sample): - return { - "context": sample["question"], - "prompt": sample["question"], - "response": sample["answer"], - } - - elif "opencoder-edu" in ds_name: - - def f(sample): - return { - "context": sample["instruction"], - "prompt": sample["instruction"], - "response": "```python\n" + sample["code"].strip() + "\n```", - } - - elif ds_name.startswith("longbench"): - - def f(sample): - return { - "context": sample["context"], - "prompt": sample["input"], - "response": sample["answers"][0], - } - - elif ds_name == "negative_nq": - - def f(sample): - q = sample["prompt"] - prompt = closed_qa_prompting(q) if not is_eval else q - return { - "context": sample["context"], - "prompt": prompt, - "response": sample["answer"], - } - - elif ds_name == "triviaqa_retrieved": - # only used for eval - def f(sample): - return { - "context": sample["context"], - "prompt": sample["prompt"], - "response": sample["answer"], - } - - if is_eval and ds_name in EVAL_INTX_TEMPLATES: - prompt_template = EVAL_INTX_TEMPLATES[ds_name] - - def eval_intx_decorator(f): - def g(sample): - sample = f(sample) - sample["prompt"] = prompt_template.format(input=sample["prompt"]) - return sample - - return g - - return eval_intx_decorator(f) if is_eval else f - - -def get_ds_kwargs(ds_name: str, split: str) -> dict[str, Any]: - if (ds_name not in DS_KWARGS) or (split not in DS_KWARGS[ds_name]): - kwargs = dict(path=ds_name, split=split) - logger.warning( - f"No dataset kwargs found for '{ds_name}' with split '{split}'.\n" - f"Using default kwargs: {kwargs}" - ) - # return kwargs - else: - # return DS_KWARGS[ds_name][split] - kwargs = DS_KWARGS[ds_name][split] - - # custom logic for slicing iterable datasets - take, skip = None, None - kw_split = kwargs["split"] - if ("[" in kw_split) and kw_split.endswith("]"): - kwargs["split"], slice = kw_split.split("[") - slice = slice.strip("]") - skip = slice.split(":")[0] - if skip: - kwargs["skip"] = int(skip) - take = slice.split(":")[1] - if take: - kwargs["take"] = int(take) - return kwargs - - -def validate_columns(tokenized_ds): - cols = ["input_ids", "attention_mask", "labels"] - if "ctx_ids" in tokenized_ds.column_names: - cols += ["ctx_ids", "ctx_attn_mask"] - if "chat_ids" in tokenized_ds.column_names: - cols += ["chat_ids", "chat_attn_mask", "chat_labels"] - ref_cols = set(cols) - assert set(tokenized_ds.column_names) == ref_cols, ( - f"Columns mismatch: {set(tokenized_ds.column_names)} != {ref_cols}" - ) - - -def filter_long_samples(samples): - return [len(ctx) < 10000 for ctx in samples["context"]] - - -def filter_long_chat(samples): - return [len(chat) < 2**13 for chat in samples["chat"]] - - -def add_repeat_prompt_fn(samples): - unique_contexts = set() - ctxs, prompts, responses = [], [], [] - for ctx, prompt, response in zip( - samples["context"], samples["prompt"], samples["response"] - ): - # Only process if the context is not already in the set - if ctx in unique_contexts: - continue - # remove too long contexts - if len(ctx) > 1000: - continue - unique_contexts.add(ctx) - ctxs.append(ctx) - responses.append(ctx) - prompts.append("Repeat the text above.") - - logger.debug("Adding repeat prompt...") - logger.debug(f"# unique contexts: {len(unique_contexts)}") - - return dict( - context=ctxs + samples["context"], - response=responses + samples["response"], - prompt=prompts + samples["prompt"], - ) - - -def add_negative_prompt_fn(samples): - unique_contexts = set() - ctxs, prompts, responses = [], [], [] - keywords = [ - "repeat", - "rephrase", - "summarize", - "rewrite", - "title", - "keyword", - "continuation", - ] - - for ctx, prompt, response in zip( - samples["context"], samples["prompt"], samples["response"] - ): - if ctx in unique_contexts: - continue - unique_contexts.add(ctx) - if len(ctx) > 3000: - continue - if any(keyword in prompt for keyword in keywords): - # Skip samples where the prompt contains any of the specified keywords - continue - - ctxs.append(ctx) - prompts.append(prompt) - responses.append(response) - - logger.debug("Adding negative prompt...") - logger.debug(f"# unique contexts: {len(unique_contexts)}") - - # remove one last sample if the number of samples is odd - if len(ctxs) % 2 != 0: - ctxs.pop() - prompts.pop() - responses.pop() - - # to make sure that the negative prompt/response is not the same as the original - indices = list(np.random.permutation(len(ctxs))) + list( - np.random.permutation(len(ctxs)) - ) - neg_ctxs, neg_prompts, neg_responses = [], [], [] - for idx in range(0, len(indices), 2): - i = indices[idx] - j = indices[idx + 1] - neg_ctxs.append(ctxs[i]) - neg_prompts.append(ctxs[j] + "\n\n" + prompts[j]) - neg_responses.append(responses[j]) - - return dict( - context=neg_ctxs + samples["context"], - prompt=neg_prompts + samples["prompt"], - response=neg_responses + samples["response"], - ) - - -def filter_none(samples): - out = [True] * len(samples["context"]) - for k in samples: - for i, sample in enumerate(samples[k]): - if not bool(sample): - out[i] = False - return out - - -def _load_and_process_dataset( - ds_name: str, - split: str, - add_negative_prompt: bool, - add_repeat_prompt: bool, - streaming: bool, - ds_path: str, - num_proc: int, -): - try: - ds_kwargs = get_ds_kwargs(ds_name, split) - skip = ds_kwargs.pop("skip", None) - take = ds_kwargs.pop("take", None) - # only load as stream if the dataset is local (parquet) - load_as_stream = ( - ("fw_qa" in ds_name) - and ("tiny" not in ds_name) - and ("mini" not in ds_name) - and streaming - and ds_kwargs["path"] == "parquet" - ) - ds = load_dataset( - **ds_kwargs, - trust_remote_code=True, - streaming=load_as_stream, - ) - if split == "train" and streaming and (not load_as_stream): - # if the dataset is hosted on HF, we load it first then convert to iterable - ds = ds.to_iterable_dataset(num_shards=128) - if skip is not None: - ds = ds.skip(skip) - if take is not None: - ds = ds.take(take) - except ValueError as e: - logger.warning( - f"Failed to load dataset {ds_name} with split {split}. Error: {e}\nSkipping..." - ) - return None - cols_to_remove = [ - col for col in ds.column_names if col not in ["context", "prompt", "response"] - ] - is_eval = split != "train" - ds = ds.map( - get_preprocessing_fn(ds_name, is_eval), - remove_columns=cols_to_remove, - num_proc=num_proc, - ) - # ds = ds.remove_columns(cols_to_remove) - ds = ds.filter(filter_none, batched=True, num_proc=num_proc) - - if split == "train": - # TODO: drop samples or split into multiple contexts - ds = ds.filter(filter_long_samples, batched=True, num_proc=num_proc) - if add_negative_prompt: - # TODO: make explicit dataset for this - ds = ds.map( - add_negative_prompt_fn, - batched=True, - batch_size=100_000, - num_proc=num_proc, - ) - if add_repeat_prompt and "context_numbers" not in ds_name: - # TODO: convert to AE/LM - ds = ds.map( - add_repeat_prompt_fn, - batched=True, - batch_size=100_000, - num_proc=num_proc, - ) - ds.save_to_disk(ds_path, num_proc=num_proc) - return ds - - -def get_tokenized_dataset( - ds_name: str, - split: str, - base_model_max_len: int, - tokenizer: PreTrainedTokenizerBase, - tokenizer_kwargs: dict[str, Any], - ctx_model_max_len: int, - ctx_tokenizer: PreTrainedTokenizerBase, - ctx_tokenizer_kwargs: dict[str, Any], - add_ctx_to_chat: bool, - add_repeat_prompt: bool, - add_negative_prompt: bool, - use_kl_loss: bool, - set_format: Optional[str] = None, - streaming: bool = False, -) -> dict[str, Any]: - # TODO: update hash function to include max_len - # TODO: max_len could be included in the kwargs - assert not use_kl_loss, "KL loss is deprecated" - logger.debug(f"Loading dataset {ds_name} with split {split}...") - need_ctx_ids = not add_ctx_to_chat and ctx_model_max_len - - load_and_process_kwargs = dict( - ds_name=ds_name, - split=split, - add_negative_prompt=add_negative_prompt, - add_repeat_prompt=add_repeat_prompt, - streaming=streaming, - ) - num_proc = None if streaming and split == "train" else 8 - - ds_hash = hashlib.sha256(json.dumps(load_and_process_kwargs).encode()).hexdigest() - ds_path = f"{TRANSFORMED_DATA_DIR}/{ds_hash}" - - if path.exists(ds_path) and split == "train": - # load the cached ds - logger.info(f"Loaded processed dataset from {ds_path}") - else: - logger.info(f"Loading dataset {ds_name} with split {split}...") - ds = _load_and_process_dataset( - **load_and_process_kwargs, - ds_path=ds_path, - num_proc=num_proc, - ) - if split == "train": - # force loading the cached version for newly created ds - ds = datasets.load_from_disk(ds_path) - - tokenized_ds = construct_and_tokenize_ctx_qa( - base_model_max_len, - tokenizer, - tokenizer_kwargs, - ctx_model_max_len, - ctx_tokenizer, - ctx_tokenizer_kwargs, - add_ctx_to_chat, - use_kl_loss, - need_ctx_ids, - ds, - split, - set_format, - num_proc, - ) - return tokenized_ds - - -def construct_and_tokenize_ctx_qa( - base_model_max_len, - tokenizer, - tokenizer_kwargs, - ctx_model_max_len, - ctx_tokenizer, - ctx_tokenizer_kwargs, - add_ctx_to_chat, - use_kl_loss, - need_ctx_ids, - ds, - split, - set_format=None, - num_proc=None, -): - is_eval = split != "train" - # TODO: update hash function to include max_len - # TODO: max_len could be included in the kwargs - kwargs = dict( - tokenizer=repr(tokenizer), - tokenizer_kwargs=json.dumps(tokenizer_kwargs), - ctx_tokenizer=repr(ctx_tokenizer), - ctx_tokenizer_kwargs=json.dumps(ctx_tokenizer_kwargs), - add_ctx_to_chat=add_ctx_to_chat, - use_kl_loss=use_kl_loss, - need_ctx_ids=need_ctx_ids, - ds=ds._fingerprint, - # TODO: add split (after moving to continued pre-training pipeline) - set_format=set_format, - ) - kwargs_str = json.dumps(kwargs) - logger.debug(f"Tokenizing dataset with kwargs: {kwargs_str}") - ds_hash = hashlib.sha256(kwargs_str.encode()).hexdigest() - ds_path = f"{TRANSFORMED_DATA_DIR}/{ds_hash}" - if path.exists(ds_path) and split == "train": - # load the cached ds - logger.info(f"Loaded tokenized dataset from {ds_path}") - ds = datasets.load_from_disk(ds_path) - return ds - # for sft + chat_model, we need to convert the dataset to chat format - # add "messages" field - ds = ds.map( - convert_ctx_prompt_response_to_messages, - fn_kwargs={"add_ctx_to_chat": add_ctx_to_chat}, - num_proc=num_proc, - ) - # add "chat" field - ds = ds.map( - get_sft_prompt_formatting_fn(TRAINING_TASK.COMPLETION, tokenizer), - batched=True, - batch_size=100_000, - num_proc=num_proc, - ) - # tokenize the chat + mask the assistant inputs - # TODO: drop samples or split into multiple contexts - if split == "train": - ds = ds.filter( - filter_long_chat, - batched=True, - batch_size=100_000, - num_proc=num_proc, - ) - - # add "input_ids", "attention_mask", "labels" - tokenized_ds = ds.map( - tokenize_chat_messages, - fn_kwargs={ - "tokenizer": tokenizer, - "mask_assistant_inputs": True, - "tokenizer_kwargs": tokenizer_kwargs, - }, - num_proc=num_proc, - ) - if split == "train": - # drop? - # base model cant handle these samples naturally - # should skip - ... - else: - tokenized_ds = tokenized_ds.map( - truncate_middle_if_too_long, - fn_kwargs={ - "max_length": base_model_max_len, - "columns": ["input_ids", "attention_mask"], - "max_new_tokens": 256, - }, - batched=True, - batch_size=100_000, - num_proc=num_proc, - ) - tokenized_ds = tokenized_ds.map( - add_length_info, - fn_kwargs={"columns": ["input_ids"]}, - batched=True, - batch_size=100_000, - num_proc=num_proc, - ) - - # for use_kl_loss, we need "chat_ids" and "chat_attn_mask" - if use_kl_loss: - raise NotImplementedError("KL loss deprecated") - tokenized_ds = tokenized_ds.map( - convert_ctx_prompt_response_to_messages, - fn_kwargs={"add_ctx_to_chat": True}, - remove_columns=["messages"], - ) - tokenized_ds = tokenized_ds.map( - get_sft_prompt_formatting_fn(TRAINING_TASK.COMPLETION, tokenizer), - remove_columns=["chat"], - ) - tokenized_ds = tokenized_ds.map( - tokenize_chat_messages, - fn_kwargs={ - "tokenizer": tokenizer, - "mask_assistant_inputs": True, - "tokenizer_kwargs": tokenizer_kwargs, - "for_kl_loss": True, - }, - ) - - if need_ctx_ids: - # tokenize the ctx_text to get ctx_ids and ctx_attn_mask - tokenized_ds = tokenized_ds.map( - tokenize_ctx_text, - fn_kwargs={"tokenizer": ctx_tokenizer}, - batched=True, - batch_size=100_000, - num_proc=num_proc, - ) - if split == "train": - # TODO: do something if ctx length is longer than the ctx model length - # e.g., drop or split for multi-lora training - ... - - else: - # truncate in the middle - tokenized_ds = tokenized_ds.map( - truncate_middle_if_too_long, - fn_kwargs={ - "max_length": ctx_model_max_len, - "columns": ["ctx_ids", "ctx_attn_mask"], - # no need to add new_tokens here (used only for the ctx encoder) - "max_new_tokens": 0, - }, - batched=True, - batch_size=100_000, - num_proc=num_proc, - ) - tokenized_ds = tokenized_ds.map( - add_length_info, - fn_kwargs={"columns": ["ctx_ids"]}, - batched=True, - batch_size=100_000, - num_proc=num_proc, - ) - tokenized_ds = tokenized_ds.remove_columns( - ["messages", "chat", "context", "prompt", "response"] - ) - if set_format: - tokenized_ds.set_format(type=set_format) - # if isinstance(tokenized_ds, IterableDataset): - # # the columns are unknown when using streaming dataset - # tokenized_ds = tokenized_ds._resolve_features() - # validate_columns(tokenized_ds) - if split == "train": - tokenized_ds.save_to_disk(ds_path, num_proc=num_proc) - del tokenized_ds - return datasets.load_from_disk(ds_path) - return tokenized_ds - - -def get_sft_prompt_formatting_fn( - sft_mode: TRAINING_TASK, - tokenizer: PreTrainedTokenizerBase, -) -> Callable[[dict[str, Any]], dict[str, Any]]: - """ - Get a function that formats examples for supervised fine-tuning. - - Args: - sft_mode: The training task type - tokenizer: The tokenizer to use for chat template application - - Returns: - A function that takes a training example and returns formatted data - - Raises: - NotImplementedError: If sft_mode is not COMPLETION or tokenizer has no chat template - """ - if sft_mode != TRAINING_TASK.COMPLETION: - raise NotImplementedError( - f"Training task {sft_mode} not supported. " - "Only completion is supported for now." - ) - - if tokenizer.chat_template is None: - raise NotImplementedError( - "Only chat models + SFT are supported. " - "Training with pre-training data is not supported yet." - ) - # TODO: add support for causal_lm training (for pre-training data) - # TODO: add support for recon training (for pre-training data) - # TODO: add support for non-chat models - - # def f(example): - # output_texts = ( - # dict(text=[]) if sft_mode == "causal_lm" else dict(prompt=[], response=[]) - # ) - # df = pd.DataFrame(dict(example)) - # for i, inp_txt in df.iterrows(): - # if sft_mode == "causal_lm": - # text = metadata["text_template"].format(**inp_txt) - # output_texts["text"].append(text) - # elif sft_mode == "completion": - # prompt = metadata["user_prompt_template"].format(**inp_txt) - # output_texts["prompt"].append(prompt) - # output_texts["response"].append(str(inp_txt[metadata["response_field"]])) - # return output_texts - - def f_intx(example): - chat_text = tokenizer.apply_chat_template( - example["messages"], tokenize=False, add_generation_prompt=False - ) - return dict(chat=chat_text) - - # return f if not apply_chat_template_fn is not None else f_intx - return f_intx - - -def convert_ctx_prompt_response_to_messages( - example: dict[str, Any], - add_ctx_to_chat: bool = True, -) -> dict[str, Any]: - """ - Convert context/prompt/response format to chat messages format. - - Args: - example: Dictionary containing 'prompt' and 'response' keys - add_ctx_to_chat: Whether to prepend context to the user message - - Returns: - Dictionary with added 'messages' key containing chat format - - Raises: - ValueError: If 'prompt' or 'response' keys are missing - """ - if "prompt" not in example or "response" not in example: - raise ValueError(f"'prompt' and 'response' are required. Got: {example}") - - system_msg = "" - if "system_message" in example: - system_msg = example["system_message"].strip() - - user_msg = example["prompt"].strip() - if add_ctx_to_chat: - user_msg = example["context"].strip() + "\n\n" + user_msg.strip() - - messages = [ - {"role": "system", "content": system_msg.strip()}, - {"role": "user", "content": user_msg.strip()}, - {"role": "assistant", "content": example["response"].strip()}, - ] - - return dict(messages=messages) - - -# adapted from https://github.com/huggingface/trl/issues/632#issuecomment-1972630547 -def get_assistant_start_end_indices( - messages: list[dict[str, str]], - tokenizer: PreTrainedTokenizerBase, - conversation_ids: list[int], -) -> list[tuple[int, int]]: - """ - Get the start and end indices of assistant messages in conversation text using tokenized messages. - - Args: - messages: List of message dictionaries with 'role' and 'content' keys - tokenizer: Tokenizer used for tokenization - conversation_ids: Tokenized conversation - - Returns: - List of (start, end) index tuples for assistant messages in the tokenized conversation - """ - assistant_ranges = [] - current_idx = 0 - - for idx, message in enumerate(messages): - # if message["role"] == "assistant": - # Tokenize the assistant message content - tokenized_message = tokenizer.encode( - message["content"], add_special_tokens=False - ) - # Find the start index of the assistant message in the tokenized conversation - for i in range(current_idx, len(conversation_ids)): - if conversation_ids[i : i + len(tokenized_message)] == tokenized_message: - start_idx = i - end_idx = i + len(tokenized_message) - current_idx = end_idx - if message["role"] == "assistant": - if idx == (len(messages) - 1): - # include everything after the last assistant message - assistant_ranges.append((start_idx, len(conversation_ids))) - else: - assistant_ranges.append((start_idx, end_idx)) - break - - return assistant_ranges - - -def get_masked_labels( - conversation_ids: dict[str, list[Any]], - assistant_ranges: list[tuple[int, int]], -) -> Iterator[int]: - """ - Generate masked labels for conversation, masking non-assistant tokens. - NOTE: This will also includes extra tokens between assistant and user messages - in multi-turn conversations. - E.g., {assistant_msg} <|eot_id|><|start_header_id|>user<|end_header_id|> {user_msg} - for Llama 3 models. - - Args: - conversation_ids: Dictionary with tokenized conversation info - assistant_ranges: List of (start, end) indices for assistant messages - - Yields: - Token ID or IGNORE_INDEX for each position - """ - for id_, (id_s, id_e) in list( - zip(conversation_ids["input_ids"], conversation_ids["offset_mapping"]) - ): - if any(id_s >= s and id_e <= e for s, e in assistant_ranges): - yield id_ - else: - yield IGNORE_INDEX - - -def tokenize_chat_messages( - example: dict[str, Any], - tokenizer: PreTrainedTokenizerBase, - mask_assistant_inputs: bool = True, - for_kl_loss: bool = False, - tokenizer_kwargs: Optional[dict[str, Any]] = None, -) -> dict[str, list[int]]: - """ - Tokenize chat messages and optionally mask non-assistant tokens. - - Args: - example: Dictionary containing 'chat' and 'messages' keys - tokenizer: Tokenizer to use - mask_assistant_inputs: Whether to mask non-assistant tokens - for_kl_loss: change the column names to "chat_ids" and "chat_attn_mask" - tokenizer_kwargs: Additional arguments to pass to tokenizer - - Returns: - Dictionary containing tokenized inputs and labels - """ - # should be used only with chat models - text = example["chat"] - messages = example["messages"] - n_response = len([m for m in messages if m["role"] == "assistant"]) - if n_response != 1: - raise ValueError(f"Expected 1 assistant response. Got {n_response}.") - conversation_ids = tokenizer( - text, - # return_offsets_mapping=mask_assistant_inputs, - add_special_tokens=False, - truncation=False, - **(tokenizer_kwargs or {}), - ) - if tokenizer_kwargs and ( - len(conversation_ids["input_ids"]) >= tokenizer_kwargs["max_length"] - ): - raise ValueError( - f"Conversation length {len(conversation_ids['input_ids'])} exceeds max length {tokenizer_kwargs['max_length']}" - ) - - if mask_assistant_inputs: - assistant_ranges = get_assistant_start_end_indices( - messages, tokenizer, conversation_ids["input_ids"] - ) - # labels = get_masked_labels(conversation_ids, assistant_ranges) - labels = [ - id_ if any(s <= i < e for s, e in assistant_ranges) else IGNORE_INDEX - for i, id_ in enumerate(conversation_ids["input_ids"]) - ] - conversation_ids["labels"] = labels - # del conversation_ids["offset_mapping"] - else: - conversation_ids["labels"] = conversation_ids["input_ids"] - if for_kl_loss: - conversation_ids["chat_ids"] = conversation_ids.pop("input_ids") - conversation_ids["chat_attn_mask"] = conversation_ids.pop("attention_mask") - conversation_ids["chat_labels"] = conversation_ids.pop("labels") - return conversation_ids - - -def add_length_info(samples: dict[str, any], columns: list[str]) -> dict[str, any]: - for col in columns: - samples[f"{col}_len"] = [len(t) for t in samples[col]] - return samples - - -def truncate_middle_if_too_long( - samples: dict[str, any], - max_length: int, - columns: list[str], - max_new_tokens: int = 256, -) -> dict[str, any]: - """ - Truncate the middle of a list of tokens to fit within a maximum length. - - Args: - tokens: List of token IDs - max_length: Maximum length for the truncated tokens - - Returns: - List of truncated token IDs - """ - max_new_tokens_half = max_new_tokens // 2 - # leave max_new_tokens for generation - half = max_length // 2 - max_new_tokens_half - for col in columns: - # if len(samples[col]) <= max_length: - # return samples[col] - samples[col] = [ - t[:half] + t[-half:] if len(t) > max_length else t for t in samples[col] - ] - return samples - - -def tokenize_ctx_text( - samples: dict[str, Any], - tokenizer: PreTrainedTokenizerBase, -) -> dict[str, Any]: - if tokenizer.chat_template: - txt = tokenizer.apply_chat_template( - [[{"role": "user", "content": text.strip()}] for text in samples["context"]], - tokenize=False, - add_generation_prompt=False, - ) - # special tokens are already added by the chat template - tokenized_text = tokenizer(txt, truncation=False, add_special_tokens=False) - else: - txt = samples["context"] - tokenized_text = tokenizer(txt, truncation=False) - - ctx_ids = tokenized_text["input_ids"] - ctx_attn_mask = tokenized_text["attention_mask"] - return dict(ctx_ids=ctx_ids, ctx_attn_mask=ctx_attn_mask) - - -if __name__ == "__main__": - from transformers import AutoTokenizer - - # model_name = "meta-llama/Llama-3.2-1B-Instruct" - # model_name = "meta-llama/Llama-2-7b-chat-hf" - model_name = "google/gemma-2-2b-it" - messages = [ - {"role": "user", "content": "Hello!"}, - {"role": "assistant", "content": "Hello!"}, - # {"role": "user", "content": "Not too bad"}, - # {"role": "assistant", "content": "Cooooooool"}, - ] - tokenizer = AutoTokenizer.from_pretrained(model_name) - chat = tokenizer.apply_chat_template( - messages, tokenize=False, add_generation_prompt=False, add_special_tokens=False - ) - print(chat) - model_inputs = tokenize_chat_messages( - {"chat": chat, "messages": messages}, - tokenizer, - # for_kl_loss=True, - ) - - print(tokenizer(chat, add_special_tokens=False)) - print(model_inputs) diff --git a/src/ctx_to_lora/hooks.py b/src/ctx_to_lora/hooks.py index b9be4a9..66fd857 100644 --- a/src/ctx_to_lora/hooks.py +++ b/src/ctx_to_lora/hooks.py @@ -1,6 +1,6 @@ import logging +from collections.abc import Callable, Iterable from operator import attrgetter -from typing import Callable, Iterable, Optional import torch import torch.nn.functional as F @@ -8,6 +8,7 @@ from einops import einsum from jaxtyping import Float, Integer from torch import Tensor from torch.utils.hooks import RemovableHandle + from ctx_to_lora.utils import get_layers logger = logging.getLogger() @@ -28,8 +29,8 @@ def remove_hook_handles(handles: list[RemovableHandle]) -> None: def apply_hook_to_model( model: torch.nn.Module, module_name: str, - pre_hook: Optional[Callable] = None, - post_hook: Optional[Callable] = None, + pre_hook: Callable | None = None, + post_hook: Callable | None = None, ) -> torch.nn.Module: if not ((pre_hook is not None) or (post_hook is not None)): raise ValueError("No hooks provided. Nothing to apply.") @@ -46,9 +47,9 @@ def apply_hook_to_model( def apply_hook_to_layer( layer: torch.nn.Module, mname: str, - pre_hook: Optional[Callable] = None, - post_hook: Optional[Callable] = None, -) -> tuple[Optional[RemovableHandle], Optional[RemovableHandle]]: + pre_hook: Callable | None = None, + post_hook: Callable | None = None, +) -> tuple[RemovableHandle | None, RemovableHandle | None]: """ Applies pre and/or post hooks to a specific layer in the model. @@ -85,8 +86,8 @@ def apply_hook_to_layers( model: torch.nn.Module, module_names: list[str], layer_indices: Iterable[int], - pre_hook: Optional[Callable] = None, - post_hook: Optional[Callable] = None, + pre_hook: Callable | None = None, + post_hook: Callable | None = None, ) -> list[RemovableHandle]: """ Applies custom hooks to specified layers and modules in the model. @@ -133,7 +134,7 @@ def add_generated_lora_hook( B: Float[Tensor, "bs d_out r"], scaling: float, input_dropout: float, - position_ids: Optional[Integer[Tensor, "bs seq_len"]] = None, + position_ids: Integer[Tensor, "bs seq_len"] | None = None, training: bool = False, ) -> list[RemovableHandle]: """ @@ -157,7 +158,6 @@ def add_generated_lora_hook( args: tuple | Float[Tensor, "bs seq_len d_in"], output: Float[Tensor, "bs seq_len d_out"], ) -> Float[Tensor, "bs seq_len d_out"]: - if isinstance(output, tuple): model_out = output[0] else: @@ -238,7 +238,7 @@ def add_generated_layernorm_hook( layer_index: int, W: Float[Tensor, "bs hidden_size"], training: bool, - position_ids: Optional[Integer[Tensor, "bs seq_len"]] = None, + position_ids: Integer[Tensor, "bs seq_len"] | None = None, ) -> list[RemovableHandle]: """ Adds layer normalization hooks to specified modules and layers. diff --git a/src/ctx_to_lora/metrics.py b/src/ctx_to_lora/metrics.py new file mode 100644 index 0000000..5caf8d9 --- /dev/null +++ b/src/ctx_to_lora/metrics.py @@ -0,0 +1,89 @@ +from collections import defaultdict +from collections.abc import Callable + +import numpy as np +import torch +from transformers import EvalPrediction + + +def compute_per_token_acc(shift_logits, shift_labels, valid_masks): + indices = torch.where(valid_masks) + acc = (shift_logits.argmax(-1) == shift_labels)[indices].float() + return { + "per_token_accs": acc.flatten().tolist(), + "n_per_token_accs": valid_masks.sum().item(), + } + + +def compute_prefix_matching(shift_logits, shift_labels, valid_masks): + lengths = valid_masks.sum(dim=1) + + is_wrong = (shift_logits.argmax(-1) != shift_labels) * valid_masks + is_correct = (shift_logits.argmax(-1) == shift_labels) * valid_masks + # NOTE: not reliable for multi-turn conversations + # ie, all tokens in the following user's turn will be correct + # still monotonically correlate with perf though + wrong_pos = torch.argmax(is_wrong, dim=1) - torch.argmax(valid_masks, dim=1) + perf = wrong_pos / lengths + + # if all tokens are correct, set to 1 + perf = torch.where(is_correct.sum(dim=1) == lengths, 1, perf) + return { + "prefix_matchings": perf.tolist(), + "n_prefix_matchings": valid_masks.shape[0], + } + + +@torch.no_grad() +def compute_perplexity(shift_logits, shift_labels, valid_masks): + loss_fct = torch.nn.CrossEntropyLoss(reduction="none") + loss = loss_fct(shift_logits.transpose(1, 2), shift_labels) + loss = (loss * valid_masks).sum(dim=1) / valid_masks.sum(dim=1) + preplexities = torch.exp(loss) + return { + "perplexities": preplexities.tolist(), + "n_perplexities": valid_masks.shape[0], + } + + +class Evaluator: + def __init__(self, metric_fns: list[Callable]): + self.metric_fns = metric_fns + self.reset() + + def reset(self): + self.accum_metrics = defaultdict(list) + self.count = defaultdict(list) + + def update(self, shift_logits, shift_labels, valid_masks): + for metric_fn in self.metric_fns: + metric = metric_fn(shift_logits, shift_labels, valid_masks) + for k, v in metric.items(): + if k.startswith("n_"): + self.count[k[2:]].append(v) + else: + self.accum_metrics[k] += v + + def compute(self): + # Get result across entire eval set + result = { + k: np.sum(v) / np.sum(self.count[k]) for k, v in self.accum_metrics.items() + } + # Reset batch statistics + self.reset() + return result + + +@torch.no_grad() +def compute_metrics( + eval_pred: EvalPrediction, + compute_result: bool, + evaluator: Evaluator, +) -> dict | None: + logits, labels = eval_pred.predictions, eval_pred.label_ids + shift_logits = logits[..., :-1, :] + shift_labels = labels[..., 1:] + valid_masks = torch.where(shift_labels != -100, 1, 0) + evaluator.update(shift_logits, shift_labels, valid_masks) + if compute_result: + return evaluator.compute() diff --git a/src/ctx_to_lora/model_loading.py b/src/ctx_to_lora/model_loading.py index a85d950..d1457b3 100644 --- a/src/ctx_to_lora/model_loading.py +++ b/src/ctx_to_lora/model_loading.py @@ -2,7 +2,7 @@ import logging import os import torch -from peft import LoraConfig, PeftConfig, PeftModel, VeraConfig +from peft import PeftModel from peft import get_peft_config as _get_peft_config from peft.utils import PeftType from transformers import ( @@ -46,16 +46,9 @@ def get_model_and_tokenizer( def get_tokenizer( model_name_or_path, tokenizer_kwargs=None, peft_config=None, train=False ): - # tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, padding_side="left") - # NOTE: lora models don't have tokenizer config in the folder - - # left pad for generation, right pad for training (why?) padding_side = "left" if not train else "right" truncation_side = "left" - # tokenizer = AutoTokenizer.from_pretrained( - # "models/Mistral-7B-v0.1/", padding_side=padding_side - # ) if peft_config: model_name_or_path = peft_config.base_model_name_or_path @@ -72,10 +65,6 @@ def get_tokenizer( if tokenizer.pad_token_id is None: tokenizer.pad_token_id = tokenizer.eos_token_id - # tokenizer.pad_token = tokenizer.eos_token - - # tokenizer.pad_token = tokenizer.eos_token - # tokenizer.add_bos_token = True template_path = f"chat_templates/{model_name_or_path}.jinja" if os.path.exists(template_path): @@ -83,26 +72,6 @@ def get_tokenizer( chat_template = open(template_path).read() chat_template = chat_template.replace(" ", "").replace("\n", "") tokenizer.chat_template = chat_template - # assert os.path.exists(f"{model_name_or_path}/chat_template.jinja"), ( - # f"Chat template not found in {model_name_or_path}\n\n" - # "We assume a specfic form of chat template for consistency between models. Please use the templates provided", - # ) - # if os.path.exists(f"{model_name_or_path}/chat_template.jinja"): - # chat_template = open(f"{model_name_or_path}/chat_template.jinja").read() - # chat_template = chat_template.replace(" ", "").replace("\n", "") - # tokenizer.chat_template = chat_template - - # tokenizer.add_eos_token = False - # if train: - # # NOTE: this correctly add an eos token that has attention = 1 - # # while padding eos tokens have attention = 0 - # tokenizer.add_eos_token = True - - # # shouldn't be needed as we manually compute the labels now - # # NOTE: this seems oddly important - # # and is not necessarily in the alignment handbook scripts - # # tokenizer.pad_token = tokenizer.unk_token # fix model not generating eos - return tokenizer @@ -123,8 +92,6 @@ def get_model( trust_remote_code=True, attn_implementation="eager", use_cache=False, - # load_in_4bit=True, - # load_in_8bit=True, ) is_vision_model = "Llama" in model_name_or_path and "Vision" in model_name_or_path if model_kwargs is not None: @@ -148,8 +115,6 @@ def get_model( model_init_kwargs["torch_dtype"] = torch.float32 model_init_kwargs.pop("use_cache") - # if train and not is_vision_model: - # model_init_kwargs["use_cache"] = False logger.debug(f"Model init kwargs: {model_init_kwargs}") if not is_vision_model: if is_bidir_model: @@ -159,21 +124,10 @@ def get_model( else: model = MllamaForConditionalGeneration.from_pretrained(**model_init_kwargs) model = model.language_model - # model = AutoModelForCausalLM.from_pretrained(**model_init_kwargs) if peft_config is not None: model = PeftModel(model, peft_config) model.train(train) for name, param in model.named_parameters(): - # if "modules_to_save" not in name: - # param.requires_grad = requires_grad - # else: - # logging.debug(f"modules_to_save: {name} to be trained") - # # always train "modules_to_save" - # if not "layernorm" in name: - # raise NotImplementedError( - # f"modules_to_save should only be layernorm, got {name}" - # ) - # param.requires_grad = True param.requires_grad = requires_grad return model @@ -195,24 +149,3 @@ def get_lora_config(model_dir, **kwargs): peft_conf_kwargs.update(kwargs) peft_config = _get_peft_config(peft_conf_kwargs) return peft_config - - -# def get_emb_model_and_fns(emb_model_name, device): -# emb_model = AutoModel.from_pretrained( -# emb_model_name, -# device_map=device, -# torch_dtype=torch.float32 if "gte" in emb_model_name else torch.bfloat16, -# trust_remote_code=True, -# ).eval() -# emb_tokenizer = AutoTokenizer.from_pretrained(emb_model_name) -# if emb_tokenizer.pad_token_id is None: -# emb_tokenizer.pad_token_id = emb_tokenizer.eos_token_id -# # assert bool(args.query_intx), "query_intx must be provided for the emb_model_name" -# # partial(get_detailed_instruct, task_description=args.query_intx) -# task_desc_format_fn = add_full_stop -# if "SFR" in emb_model_name: -# task_desc_format_fn = apply_sfr_template -# pooling_fn = get_pooling_fn("last_token") -# elif "gte" in emb_model_name: -# pooling_fn = get_pooling_fn("cls") -# return emb_model, emb_tokenizer, task_desc_format_fn, pooling_fn diff --git a/src/ctx_to_lora/eval_utils.py b/src/ctx_to_lora/modeling/__init__.py similarity index 100% rename from src/ctx_to_lora/eval_utils.py rename to src/ctx_to_lora/modeling/__init__.py diff --git a/src/ctx_to_lora/modeling/aggregator.py b/src/ctx_to_lora/modeling/aggregator.py new file mode 100644 index 0000000..118b40c --- /dev/null +++ b/src/ctx_to_lora/modeling/aggregator.py @@ -0,0 +1,234 @@ +import logging +from dataclasses import dataclass +from enum import Enum + +from einops import rearrange, unpack +from jaxtyping import Float, Integer +from torch import Tensor, nn +from transformers import ( + PretrainedConfig, + PreTrainedModel, +) + +from ctx_to_lora.configs import ( + AggregatorArguments, +) +from ctx_to_lora.modeling.idefics2 import Idefics2Perceiver, Idefics2PerceiverConfig +from ctx_to_lora.pooling import POOL_FN +from ctx_to_lora.utils import ( + get_num_layers, +) + +logger = logging.getLogger() + + +class AGGREGATOR_TYPE(str, Enum): + POOLER = "pooler" + PERCEIVER = "perceiver" + + +@dataclass +class AggregatorConfig: + aggregator_type: AGGREGATOR_TYPE + num_layers: int + num_modules: int + num_extra_modules: int + output_size: int + feature_size: int + + # pooler + pooling_type: POOL_FN + + # perceiver + num_self_attends_per_block: int # = 16 + decoder_depth: int # 1 = only cross-attention + num_latent_factor: int = 8 + lora_r: int = 8 + per_rank_gen: bool = False + + +def get_aggregator_config( + model: PreTrainedModel, + ctx_encoder_model_config: PretrainedConfig, + output_size: int, + num_modules: int, + num_extra_modules: int, + lora_r: int, + per_rank_gen: bool, + aggregator_args: AggregatorArguments, +): + return AggregatorConfig( + feature_size=ctx_encoder_model_config.hidden_size, + output_size=output_size, + num_layers=get_num_layers(model), + num_modules=num_modules, + num_extra_modules=num_extra_modules, + lora_r=lora_r, + per_rank_gen=per_rank_gen, + **vars(aggregator_args), + ) + + +class Perceiver(nn.Module): + """perceiver w/ bottleneck size = n_modules * n_layers""" + + def __init__( + self, + feature_size, + output_size, + num_layers, + num_modules, + num_extra_modules, + per_rank_gen, + lora_r, + num_latent_factor, + *args, + **kwargs, + ): + super().__init__() + self.num_layers = num_layers + self.num_modules = num_modules + self.num_extra_modules = num_extra_modules + self.per_rank_gen = per_rank_gen + self.r = lora_r if self.per_rank_gen else 1 + n_output_queries = num_layers * (num_modules * self.r + num_extra_modules) + self.config = Idefics2PerceiverConfig( + input_size=feature_size, + # the first layer is xattn + resampler_depth=kwargs["num_self_attends_per_block"] + 1, + resampler_n_latents=n_output_queries * num_latent_factor, + intermediate_size_factor=4, + hidden_size=output_size, + attn_implementation="flash_attention_2", + ) + self.decoder_config = Idefics2PerceiverConfig( + input_size=output_size, + resampler_depth=kwargs["decoder_depth"], + resampler_n_latents=n_output_queries, + intermediate_size_factor=4, + hidden_size=output_size, + attn_implementation="flash_attention_2", + ) + self.perceiver = Idefics2Perceiver(self.config, self.decoder_config) + + def forward( + self, + ctx_features: Float[Tensor, "bs seq_len feature_dim"], + ctx_attn_mask: Integer[Tensor, "bs seq_len"] | None = None, + ctx_position_ids: Integer[Tensor, "bs seq_len"] | None = None, + ): + x = self.perceiver(ctx_features, ctx_attn_mask, ctx_position_ids) + lora_x, extra_x = unpack( + x, + [ + [self.num_layers * self.num_modules * self.r], + [self.num_layers * self.num_extra_modules], + ], + "bs * feature_dim", + ) + lora_x = rearrange( + lora_x, + "bs (n_layers n_modules r) d -> bs n_layers n_modules r d", + n_modules=self.num_modules, + n_layers=self.num_layers, + r=self.r, + ) + if not self.per_rank_gen: + lora_x = lora_x.squeeze(3) + + extra_x = rearrange( + extra_x, + "bs (n_layers n_extra_modules) d -> bs n_layers n_extra_modules d", + n_extra_modules=self.num_extra_modules, + n_layers=self.num_layers, + ) + + # x = rearrange( + # x, + # "bs (n_layers n_modules) d -> bs n_layers n_modules d", + # n_modules=self.num_modules, + # n_layers=self.num_layers, + # ) + # lora_emb, extra_emb = unpack( + # emb, + # [[self.num_modules], [self.num_extra_modules]], + # "bs n_layers * feature_dim", + # ) + return lora_x, extra_x + + +# class Pooler(nn.Module): +# def __init__( +# self, +# feature_size: int, +# output_size: int, +# pooling_type: POOL_FN, +# num_layers: int, +# num_modules: int, +# *args, +# **kwargs, +# ): +# super().__init__() +# self.num_layers = num_layers +# self.num_modules = num_modules + +# # NOTE: features will be projected to size = output_size // 2 +# # then cat with layer and module embeddings (each with size output_size // 4) +# # which are collectively form features with size = output_size +# self.pool_fn = get_pooling_fn(pooling_type) +# self.feature_proj = nn.Linear(feature_size, output_size // 2) +# self.ln = nn.LayerNorm(output_size // 2) +# self.layer_embs = nn.Sequential( +# nn.Embedding(num_layers, output_size // 4), +# nn.LayerNorm(output_size // 4), +# ) +# self.module_embs = nn.Sequential( +# nn.Embedding(num_modules, output_size // 4), +# nn.LayerNorm(output_size // 4), +# ) +# self.mixer = Mixer(output_size, output_size * 4, output_size) +# self.mlp = MLPResidualBlock(output_size, output_size * 4, output_size) + +# self.register_buffer("layer_indices", torch.arange(num_layers)) +# self.register_buffer("module_indices", torch.arange(num_modules)) + +# def forward( +# self, +# features: Float[Tensor, "bs seq_len feature_dim"], +# attn_mask: Integer[Tensor, "bs seq_len"] | None = None, +# ): +# bs = features.shape[0] + +# # [bs, feature_dim] +# x = self.ln(self.feature_proj(self.pool_fn(features, attn_mask).float())) +# x = repeat( +# x, +# "bs d -> bs n_layers n_modules d", +# n_modules=self.num_modules, +# n_layers=self.num_layers, +# ) + +# layer_embs = self.layer_embs(self.layer_indices) # [num_layers, d] +# layer_embs = repeat( +# layer_embs, +# "n_layers d -> bs n_layers n_modules d", +# bs=bs, +# n_modules=self.num_modules, +# ) + +# module_embs = self.module_embs(self.module_indices) # [num_modules, d] +# module_embs = repeat( +# module_embs, +# "n_modules d -> bs n_layers n_modules d", +# bs=bs, +# n_layers=self.num_layers, +# ) + +# emb = torch.cat([x, layer_embs, module_embs], dim=3) +# return self.mlp(self.mixer(emb)) + + +AG = { + # AGGREGATOR_TYPE.POOLER: Pooler, + AGGREGATOR_TYPE.PERCEIVER: Perceiver, +} diff --git a/src/ctx_to_lora/modeling/ctx_encoder.py b/src/ctx_to_lora/modeling/ctx_encoder.py new file mode 100644 index 0000000..a946664 --- /dev/null +++ b/src/ctx_to_lora/modeling/ctx_encoder.py @@ -0,0 +1,65 @@ +import logging +from contextlib import contextmanager + +import torch +from torch import nn +from transformers import PreTrainedModel + +logger = logging.getLogger() + + +@contextmanager +def early_exit(base_model: PreTrainedModel, exit_layer: int): + try: + layers = base_model.layers + base_model.layers = layers[:exit_layer] + yield base_model + finally: + base_model.layers = layers + + +@contextmanager +def maybe_add_batch_dim(kwargs): + try: + batched_input = False + batched_attn_mask = False + if ( + "input_ids" in kwargs + and kwargs["input_ids"] is not None + and len(kwargs["input_ids"].shape) == 1 + ): + kwargs["input_ids"] = kwargs["input_ids"].unsqueeze(0) + batched_input = True + if ( + "attention_mask" in kwargs + and kwargs["attention_mask"] is not None + and isinstance(kwargs["attention_mask"], torch.Tensor) + and len(kwargs["attention_mask"].shape) == 1 + ): + kwargs["attention_mask"] = kwargs["attention_mask"].unsqueeze(0) + batched_attn_mask = True + yield batched_input, batched_attn_mask + finally: + if batched_input: + kwargs["input_ids"] = kwargs["input_ids"].squeeze(0) + if batched_attn_mask: + kwargs["attention_mask"] = kwargs["attention_mask"].squeeze(0) + + +class EarlyExit(nn.Module): + def __init__(self, base_model: PreTrainedModel, exit_layer: int): + super().__init__() + self.base_model = base_model + if "gte" in base_model.config.name_or_path: + self.base_model.encoder.layer = base_model.encoder.layer[:exit_layer] + else: + self.base_model.layers = base_model.layers[:exit_layer] + + @property + def config(self): + return self.base_model.config + + @torch.no_grad() + def forward(self, **kwargs): + model_outputs = self.base_model(**kwargs) + return model_outputs.last_hidden_state diff --git a/src/ctx_to_lora/modeling_utils.py b/src/ctx_to_lora/modeling/hypernet.py similarity index 53% rename from src/ctx_to_lora/modeling_utils.py rename to src/ctx_to_lora/modeling/hypernet.py index 173f626..1f0f14e 100644 --- a/src/ctx_to_lora/modeling_utils.py +++ b/src/ctx_to_lora/modeling/hypernet.py @@ -1,120 +1,56 @@ import logging -from copy import deepcopy +from collections.abc import Iterable from contextlib import contextmanager -from dataclasses import dataclass, field -from enum import Enum -from functools import partial, wraps -from math import log, pi -from typing import Any, Iterable, Optional, Tuple, Union +from copy import deepcopy +from dataclasses import dataclass +from typing import Any import torch -import torch.nn.functional as F -from einops import rearrange, repeat, unpack, einsum +from einops import einsum, rearrange, unpack from einops.layers.torch import EinMix as Mix -from einops.layers.torch import Reduce from jaxtyping import Float, Integer from peft import ( - get_peft_config, - load_peft_weights, LoraConfig, + LoraRuntimeConfig, PeftConfig, PeftModel, - PeftMixedModel, - LoraRuntimeConfig, - get_peft_model_state_dict, - set_peft_model_state_dict, ) -from peft.utils import PeftType, TaskType, ModulesToSaveWrapper from peft.tuners._buffer_dict import BufferDict from peft.tuners.tuners_utils import BaseTunerLayer, check_target_module_exists +from peft.utils import PeftType, TaskType from torch import Tensor, nn from transformers import ( - PerceiverConfig, - PerceiverModel, - PreTrainedModel, PretrainedConfig, + PreTrainedModel, PreTrainedTokenizerBase, ) -from transformers.models.perceiver.modeling_perceiver import ( - PerceiverBasicDecoder, -) from transformers.modeling_outputs import ModelOutput from transformers.models.modernbert.modeling_modernbert import ModernBertModel + from ctx_to_lora.configs import ( AggregatorArguments, - HypernetArguments, CtxEncoderArguments, + HypernetArguments, ) from ctx_to_lora.hooks import ( add_generated_layernorm_hook, add_generated_lora_hook, remove_hook_handles, ) -from ctx_to_lora.model_loading import get_lora_config, get_model, get_model_and_tokenizer -from ctx_to_lora.pooling import POOL_FN, get_pooling_fn +from ctx_to_lora.model_loading import ( + get_model, +) +from ctx_to_lora.modeling.aggregator import AG, AggregatorConfig, get_aggregator_config +from ctx_to_lora.modeling.ctx_encoder import EarlyExit from ctx_to_lora.utils import ( - generated_lora_to_state_dict, - get_lora_module_names, + get_base_model, get_num_layers, get_peft_in_out_features, - get_base_model, ) -from ctx_to_lora.modeling_idefics2 import Idefics2PerceiverConfig, Idefics2Perceiver logger = logging.getLogger() -class AGGREGATOR_TYPE(str, Enum): - POOLER = "pooler" - PERCEIVER = "perceiver" - - -@dataclass -class AggregatorConfig: - aggregator_type: AGGREGATOR_TYPE - - # pooler - pooling_type: POOL_FN - feature_size: int - num_layers: int - num_modules: int - num_extra_modules: int - output_size: int - - # perceiver - # attention_probs_dropout_prob: float = 0.0 - # num_blocks: int = 1 - num_self_attends_per_block: int # = 16 - decoder_depth: int # = 1 # 1 = only cross-attention - # self_attention_widening_factor: int = 4 - # cross_attention_widening_factor: int = 1 - num_latent_factor: int = 8 - lora_r: int = 8 - per_rank_gen: bool = False - - -def get_aggregator_config( - model: PreTrainedModel, - ctx_encoder_model_config: PretrainedConfig, - output_size: int, - num_modules: int, - num_extra_modules: int, - lora_r: int, - per_rank_gen: bool, - aggregator_args: AggregatorArguments, -): - return AggregatorConfig( - feature_size=ctx_encoder_model_config.hidden_size, - output_size=output_size, - num_layers=get_num_layers(model), - num_modules=num_modules, - num_extra_modules=num_extra_modules, - lora_r=lora_r, - per_rank_gen=per_rank_gen, - **vars(aggregator_args), - ) - - @dataclass class HypernetConfig: latent_size: int @@ -126,8 +62,7 @@ class HypernetConfig: dropout_rate: float lora_config: LoraConfig - # module_names: dict[str, list[str]] - extra_modules: Optional[list[str]] + extra_modules: list[str] | None base_hidden_size: int layer_indices: Iterable[int] @@ -152,7 +87,6 @@ def get_hypernet_config( **vars(hypernet_args), base_hidden_size=model.config.hidden_size, lora_config=lora_config, - # module_names=get_lora_module_names(model, lora_config.target_modules, indices), layer_indices=indices, feature_sizes=get_peft_in_out_features(model, peft_config=lora_config), aggregator_config=get_aggregator_config( @@ -168,314 +102,6 @@ def get_hypernet_config( ) -class Perceiver(nn.Module): - """perceiver w/ bottleneck size = n_modules * n_layers""" - - def __init__( - self, - feature_size, - output_size, - num_layers, - num_modules, - num_extra_modules, - per_rank_gen, - lora_r, - num_latent_factor, - *args, - **kwargs, - ): - super().__init__() - self.num_layers = num_layers - self.num_modules = num_modules - self.num_extra_modules = num_extra_modules - self.per_rank_gen = per_rank_gen - self.r = lora_r if self.per_rank_gen else 1 - # self.config = PerceiverConfig( - # d_model=feature_size, # + num_bands - # num_latents=num_layers * num_modules * num_latent_factor, - # d_latents=output_size, - # # attention_probs_dropout_prob=0.0, - # # num_blocks=8, - # # num_self_attends_per_block=6, - # # self_attention_widening_factor=4, - # **kwargs, - # ) - # decoder = PerceiverBasicDecoder( - # self.config, - # output_num_channels=output_size, - # output_index_dims=num_layers * num_modules, - # num_channels=output_size, - # final_project=False, - # trainable_position_encoding_kwargs=dict( - # num_channels=output_size, - # index_dims=num_layers * num_modules, - # ), - # ) - - # self.perceiver = PerceiverModel(self.config, decoder=decoder) - n_output_queries = num_layers * (num_modules * self.r + num_extra_modules) - self.config = Idefics2PerceiverConfig( - input_size=feature_size, - # the first layer is xattn - resampler_depth=kwargs["num_self_attends_per_block"] + 1, - resampler_n_latents=n_output_queries * num_latent_factor, - intermediate_size_factor=4, - hidden_size=output_size, - attn_implementation="flash_attention_2", - ) - self.decoder_config = Idefics2PerceiverConfig( - input_size=output_size, - resampler_depth=kwargs["decoder_depth"], - resampler_n_latents=n_output_queries, - intermediate_size_factor=4, - hidden_size=output_size, - attn_implementation="flash_attention_2", - ) - self.perceiver = Idefics2Perceiver(self.config, self.decoder_config) - - def forward( - self, - ctx_features: Float[Tensor, "bs seq_len feature_dim"], - ctx_attn_mask: Optional[Integer[Tensor, "bs seq_len"]] = None, - ctx_position_ids: Optional[Integer[Tensor, "bs seq_len"]] = None, - ): - x = self.perceiver(ctx_features, ctx_attn_mask, ctx_position_ids) - lora_x, extra_x = unpack( - x, - [ - [self.num_layers * self.num_modules * self.r], - [self.num_layers * self.num_extra_modules], - ], - "bs * feature_dim", - ) - lora_x = rearrange( - lora_x, - "bs (n_layers n_modules r) d -> bs n_layers n_modules r d", - n_modules=self.num_modules, - n_layers=self.num_layers, - r=self.r, - ) - if not self.per_rank_gen: - lora_x = lora_x.squeeze(3) - - extra_x = rearrange( - extra_x, - "bs (n_layers n_extra_modules) d -> bs n_layers n_extra_modules d", - n_extra_modules=self.num_extra_modules, - n_layers=self.num_layers, - ) - - # x = rearrange( - # x, - # "bs (n_layers n_modules) d -> bs n_layers n_modules d", - # n_modules=self.num_modules, - # n_layers=self.num_layers, - # ) - # lora_emb, extra_emb = unpack( - # emb, - # [[self.num_modules], [self.num_extra_modules]], - # "bs n_layers * feature_dim", - # ) - return lora_x, extra_x - - -class Mixer(nn.Module): - def __init__( - self, - input_size: int, - intermediate_emb_size: int, - output_size: int, - ): - super().__init__() - self.gate_proj = nn.Linear(input_size, intermediate_emb_size, bias=False) - self.up_proj = nn.Linear(input_size, intermediate_emb_size, bias=False) - self.down_proj = nn.Linear(intermediate_emb_size, output_size, bias=False) - self.act_fn = nn.SiLU() - - def forward(self, x: torch.Tensor) -> torch.Tensor: - return self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x)) - - -class MLPResidualBlock(nn.Module): - def __init__( - self, - input_size: int, - hidden_size: int, - output_size: int, - pre_layer_norm: bool = True, - post_dropout: bool = True, - dropout_rate: float = 0, - ): - super().__init__() - layers = [] - # if pre_layer_norm: - # layers.append(nn.LayerNorm(input_size)) - layers = [ - nn.LayerNorm(input_size), - nn.Dropout(dropout_rate), - nn.Linear(input_size, hidden_size), - nn.SiLU(), - nn.Dropout(dropout_rate), - nn.Linear(hidden_size, output_size), - nn.LayerNorm(output_size), - # nn.SiLU(), - ] - # if post_dropout: - # layers.append(nn.Dropout(dropout_rate)) - self.mlp = nn.Sequential(*layers) - - def forward(self, x): - return x + self.mlp(x) - - -class Pooler(nn.Module): - def __init__( - self, - feature_size: int, - output_size: int, - pooling_type: POOL_FN, - num_layers: int, - num_modules: int, - *args, - **kwargs, - ): - super().__init__() - self.num_layers = num_layers - self.num_modules = num_modules - - # NOTE: features will be projected to size = output_size // 2 - # then cat with layer and module embeddings (each with size output_size // 4) - # which are collectively form features with size = output_size - self.pool_fn = get_pooling_fn(pooling_type) - self.feature_proj = nn.Linear(feature_size, output_size // 2) - self.ln = nn.LayerNorm(output_size // 2) - self.layer_embs = nn.Sequential( - nn.Embedding(num_layers, output_size // 4), - nn.LayerNorm(output_size // 4), - ) - self.module_embs = nn.Sequential( - nn.Embedding(num_modules, output_size // 4), - nn.LayerNorm(output_size // 4), - ) - self.mixer = Mixer(output_size, output_size * 4, output_size) - self.mlp = MLPResidualBlock(output_size, output_size * 4, output_size) - - self.register_buffer("layer_indices", torch.arange(num_layers)) - self.register_buffer("module_indices", torch.arange(num_modules)) - - def forward( - self, - features: Float[Tensor, "bs seq_len feature_dim"], - attn_mask: Optional[Integer[Tensor, "bs seq_len"]] = None, - ): - bs = features.shape[0] - - # [bs, feature_dim] - x = self.ln(self.feature_proj(self.pool_fn(features, attn_mask).float())) - x = repeat( - x, - "bs d -> bs n_layers n_modules d", - n_modules=self.num_modules, - n_layers=self.num_layers, - ) - - layer_embs = self.layer_embs(self.layer_indices) # [num_layers, d] - layer_embs = repeat( - layer_embs, - "n_layers d -> bs n_layers n_modules d", - bs=bs, - n_modules=self.num_modules, - ) - - module_embs = self.module_embs(self.module_indices) # [num_modules, d] - module_embs = repeat( - module_embs, - "n_modules d -> bs n_layers n_modules d", - bs=bs, - n_layers=self.num_layers, - ) - - emb = torch.cat([x, layer_embs, module_embs], dim=3) - return self.mlp(self.mixer(emb)) - - -AG = { - AGGREGATOR_TYPE.POOLER: Pooler, - AGGREGATOR_TYPE.PERCEIVER: Perceiver, -} - - -@contextmanager -def early_exit(base_model: PreTrainedModel, exit_layer: int): - try: - layers = base_model.layers - base_model.layers = layers[:exit_layer] - yield base_model - finally: - base_model.layers = layers - - -@contextmanager -def maybe_add_batch_dim(kwargs): - try: - batched_input = False - batched_attn_mask = False - if ( - "input_ids" in kwargs - and kwargs["input_ids"] is not None - and len(kwargs["input_ids"].shape) == 1 - ): - kwargs["input_ids"] = kwargs["input_ids"].unsqueeze(0) - batched_input = True - if ( - "attention_mask" in kwargs - and kwargs["attention_mask"] is not None - and isinstance(kwargs["attention_mask"], torch.Tensor) - and len(kwargs["attention_mask"].shape) == 1 - ): - kwargs["attention_mask"] = kwargs["attention_mask"].unsqueeze(0) - batched_attn_mask = True - yield batched_input, batched_attn_mask - finally: - if batched_input: - kwargs["input_ids"] = kwargs["input_ids"].squeeze(0) - if batched_attn_mask: - kwargs["attention_mask"] = kwargs["attention_mask"].squeeze(0) - - -class EarlyExit(nn.Module): - def __init__(self, base_model: PreTrainedModel, exit_layer: int): - super().__init__() - self.base_model = base_model - if "gte" in base_model.config.name_or_path: - self.base_model.encoder.layer = base_model.encoder.layer[:exit_layer] - else: - self.base_model.layers = base_model.layers[:exit_layer] - # self.exit_layer = exit_layer - - @property - def config(self): - return self.base_model.config - - @torch.no_grad() - def forward(self, **kwargs): - # if len(kwargs["input_ids"].shape) == 1: - # kwargs["input_ids"] = kwargs["input_ids"].unsqueeze(0) - # if len(kwargs["attention_mask"].shape) == 1: - # kwargs["attention_mask"] = kwargs["attention_mask"].unsqueeze(0) - - # with ( - # # early_exit(self.base_model, self.exit_layer), - # maybe_add_batch_dim(kwargs) as (batched_input, batched_attn_mask), - # ): - model_outputs = self.base_model(**kwargs) - - # if batched_input: - # model_outputs.last_hidden_state = model_outputs.last_hidden_state.squeeze(0) - - return model_outputs.last_hidden_state - - def get_init_peft_weights(model: PeftModel, peft_config: PeftConfig = None): if peft_config is None: peft_config = model.peft_config["default"] @@ -488,9 +114,9 @@ def get_init_peft_weights(model: PeftModel, peft_config: PeftConfig = None): continue # support just Linear layer for now # all modules should be a leave module that is Linear layer - assert isinstance( - module.base_layer, nn.Linear - ), "all modules should be a leave module that is Linear layer" + assert isinstance(module.base_layer, nn.Linear), ( + "all modules should be a leave module that is Linear layer" + ) # this should always pass name = module_name.split(".")[-1] @@ -513,91 +139,29 @@ def get_init_peft_weights(model: PeftModel, peft_config: PeftConfig = None): return peft_weights -class Gemma3RMSNorm(nn.Module): - def __init__(self, dim: int, eps: float = 1e-6): +class ResMLPBlock(nn.Module): + def __init__( + self, + input_size: int, + hidden_size: int, + output_size: int, + dropout_rate: float = 0, + ): super().__init__() - self.eps = eps - self.weight = nn.Parameter(torch.zeros(dim)) - - def _norm(self, x): - return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps) + layers = [] + layers = [ + nn.LayerNorm(input_size), + nn.Dropout(dropout_rate), + nn.Linear(input_size, hidden_size), + nn.SiLU(), + nn.Dropout(dropout_rate), + nn.Linear(hidden_size, output_size), + nn.LayerNorm(output_size), + ] + self.mlp = nn.Sequential(*layers) def forward(self, x): - output = self._norm(x.float()) - # Llama does x.to(float16) * w whilst Gemma3 is (x * w).to(float16) - # See https://github.com/huggingface/transformers/pull/29402 - output = output * (1.0 + self.weight.float()) - return output.type_as(x) - - def extra_repr(self): - return f"{tuple(self.weight.shape)}, eps={self.eps}" - - -class ResMLPBlock(nn.Module): ... - - -class UpMixPerLayer(nn.Module): - def __init__(self, n_layers: int, n_modules: int, r: int, d_in: int, d_up: int): - super().__init__() - self.linear = Mix( - "bs n_layers n_modules r d_in -> bs n_layers n_modules r d_up", - weight_shape="n_layers d_in d_up", - bias_shape=None, # "n_layers n_modules d_up", - n_layers=n_layers, - # n_modules=n_modules, - r=r, - d_in=d_in, - d_up=d_up, - ) - - def forward(self, x): - return self.linear(x) - - -class DownMixPerLayer(nn.Module): - def __init__(self, n_layers: int, n_modules: int, r: int, d_up: int, d_out: int): - super().__init__() - self.linear = Mix( - "bs n_layers n_modules r d_up -> bs n_layers n_modules r d_out", - weight_shape="n_layers d_up d_out", - bias_shape=None, # "n_layers n_modules d_out", - n_layers=n_layers, - # n_modules=n_modules, - r=r, - d_up=d_up, - d_out=d_out, - ) - - def forward(self, x): - return self.linear(x) - - -class MixerPerLayer(nn.Module): - def __init__(self, n_layers: int, n_modules: int, r: int, d_in: int): - super().__init__() - self.up_proj = UpMixPerLayer(n_layers, n_modules, r, d_in, d_in * 4) - self.gate_proj = UpMixPerLayer(n_layers, n_modules, r, d_in, d_in * 4) - self.down_proj = DownMixPerLayer(n_layers, n_modules, r, d_in * 4, d_in) - self.act_fn = nn.SiLU() - - def forward(self, x): - return self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x)) - - -# class ResMLPBlockPerLayer(nn.Module): -# def __init__(self, n_layers: int, n_modules: int, r: int, d_in: int): -# super().__init__() -# # input shape: [bs, n_layers, n_modules, feature_dim] -# self.pre_norm = nn.LayerNorm(d_in) -# self.post_norm = nn.LayerNorm(d_in) -# self.mixer = MixerPerLayer(n_layers, n_modules, r, d_in) - -# def forward(self, x): -# inp = x -# x = self.pre_norm(x) -# x = self.mixer(x) -# x = self.post_norm(x) -# return x + inp + return x + self.mlp(x) class ResMLPBlockPerLayer(nn.Module): @@ -611,7 +175,6 @@ class ResMLPBlockPerLayer(nn.Module): super().__init__() layers = [ nn.LayerNorm(input_size), - # nn.Linear(input_size, hidden_size), Mix( "bs n_layers n_modules r d_in -> bs n_layers n_modules r d_hid", weight_shape="n_layers d_in d_hid", @@ -621,7 +184,6 @@ class ResMLPBlockPerLayer(nn.Module): d_hid=hidden_size, ), nn.SiLU(), - # nn.Linear(hidden_size, output_size), Mix( "bs n_layers n_modules r d_hid -> bs n_layers n_modules r d_out", weight_shape="n_layers d_hid d_out", @@ -638,80 +200,6 @@ class ResMLPBlockPerLayer(nn.Module): return x + self.layers(x) -class ResMLPTokenMixingPerLayer(nn.Module): - def __init__(self, n_layers: int, n_modules: int, r: int, d_in: int): - super().__init__() - # input shape: [bs, n_layers, n_modules, feature_dim] - d_hid = d_in // 4 - self.pre_norm = nn.LayerNorm(d_in) - self.post_norm = nn.LayerNorm(d_in) - # self.proj_down = Mix( - # "bs n_layers n_modules r d_in -> bs n_layers n_modules r d_hid", - # weight_shape="n_layers d_in d_hid", - # bias_shape=None, # "n_layers n_modules d_hid", - # n_layers=n_layers, - # # n_modules=n_modules, - # d_in=d_in, - # d_hid=d_hid, - # ) - # concat all tokens (r, d_hid) then map them back to (r, d_in) - # up_proj = Mix( - # "bs n_layers n_modules r d_hid -> bs n_layers n_modules r0 d_in", - # weight_shape="n_layers r d_hid r0 d_in", - # n_layers=n_layers, - # r=r, - # r0=r, - # d_hid=d_hid, - # d_in=d_in, - # ) - # act_fn = nn.SiLU() - # out_proj = Mix( - # "bs n_layers n_modules r d_in -> bs n_layers n_modules r0 d_in0", - # weight_shape="n_layers r d_in r0 d_in0", - # bias_shape=None, # "n_layers n_modules d_in0", - # n_layers=n_layers, - # r=r, - # r0=r, - # d_in=d_in, - # d_in0=d_in, - # ) - # self.token_mixer = nn.Sequential(up_proj, act_fn, out_proj) - n_token_factors = 16 - self.proj = Mix( - "bs n_layers n_modules r d_in -> bs n_layers n_modules r d_in0", - weight_shape="d_in d_in0", - bias_shape=None, - d_in=d_in, - d_in0=d_in, - ) - token_mix_up = Mix( - "bs n_layers n_modules r d_in -> bs n_layers n_modules r0 d_in", - weight_shape="n_layers r r0", - bias_shape=None, - n_layers=n_layers, - r=r, - r0=r * n_token_factors, - ) - act_fn = nn.SiLU() - token_mix_down = Mix( - "bs n_layers n_modules r0 d_in -> bs n_layers n_modules r d_in", - weight_shape="n_layers r0 r", - bias_shape=None, - n_layers=n_layers, - r=r, - r0=r * n_token_factors, - ) - self.token_mixer = nn.Sequential(token_mix_up, act_fn, token_mix_down) - - def forward(self, x): - inp = x - x = self.proj(x) - x = self.pre_norm(x) - x = self.token_mixer(x) - x = self.post_norm(x) - return x + inp - - class HyperLoRA(nn.Module): def __init__(self, config: HypernetConfig): super().__init__() @@ -744,43 +232,19 @@ class HyperLoRA(nn.Module): self.d_latent = self.config.latent_size if self.target_modules: - # self.layers = nn.Sequential( - # *[ - # MLPResidualBlock( - # input_size=self.config.latent_size, - # hidden_size=self.config.latent_size * 4, - # output_size=self.config.latent_size, - # dropout_rate=getattr(self.config, "dropout_rate", 0), - # ) - # for _ in range(4) - # ] - # ) if self.config.per_layer_processing: layers = [ - # nn.Linear(self.d_latent, self.d_latent), - # Mix( - # "bs n_layers n_modules r d -> bs n_layers n_modules r d0", - # weight_shape="n_layers d d0", - # bias_shape="n_layers d0", - # n_layers=self.n_layers, - # d=self.d_latent, - # d0=self.d_latent, - # ), ResMLPBlockPerLayer( self.n_layers, self.d_latent, self.d_latent * 4, self.d_latent, - # self.num_modules, - # self.lora_config.r, - # self.d_latent, ) for _ in range(4) ] else: layers = [ - # nn.Linear(self.d_latent, self.d_latent), - MLPResidualBlock( + ResMLPBlock( input_size=self.config.latent_size, hidden_size=self.config.latent_size * 4, output_size=self.config.latent_size, @@ -788,15 +252,6 @@ class HyperLoRA(nn.Module): ) for _ in range(4) ] - # if self.config.use_token_mixing: - # layers = [ - # ResMLPTokenMixingPerLayer( - # self.n_layers, - # self.num_modules, - # self.lora_config.r, - # self.d_latent, - # ) - # ] + layers self.layers = nn.Sequential(*layers) @@ -943,7 +398,7 @@ class HyperLoRA(nn.Module): # if self.extra_modules: # # self.extra_layers = nn.Sequential( # # *[ - # # MLPResidualBlock( + # # ResMLPBlock( # # input_size=self.config.latent_size, # # hidden_size=self.config.latent_size * 4, # # output_size=self.config.latent_size, @@ -952,7 +407,7 @@ class HyperLoRA(nn.Module): # # for _ in range(4) # # ] # # ) - # self.extra_layers = MLPResidualBlock( + # self.extra_layers = ResMLPBlock( # input_size=self.config.latent_size, # hidden_size=self.config.latent_size * 4, # output_size=self.config.latent_size, @@ -982,7 +437,7 @@ class HyperLoRA(nn.Module): # hidden_size=self.config.base_hidden_size, # ) - @torch.autocast(device_type="cuda", dtype=torch.bfloat16) + # @torch.autocast(device_type="cuda", dtype=torch.bfloat16) def _to_lora_dict( self, flat_loras: Float[Tensor, "bs n_layers n_modules r max_io_dim"] ) -> dict[str, dict[str, Float[Tensor, "bs n_layers r _"]]]: @@ -1036,14 +491,13 @@ class HyperLoRA(nn.Module): ) return {k: v for k, v in zip(self.extra_modules, layernorms)} - @torch.autocast(device_type="cuda", dtype=torch.bfloat16) + # @torch.autocast(device_type="cuda", dtype=torch.bfloat16) def forward( self, features: Float[Tensor, "bs seq_len feature_dim"], - attn_mask: Optional[Integer[Tensor, "bs seq_len"]] = None, - position_ids: Optional[Integer[Tensor, "bs seq_len"]] = None, + attn_mask: Integer[Tensor, "bs seq_len"] | None = None, + position_ids: Integer[Tensor, "bs seq_len"] | None = None, ): - # [bs, n_layers, n_total_modules, feature_dim] lora_emb, extra_emb = self.aggregator(features, attn_mask, position_ids) # lora_emb, extra_emb = unpack( @@ -1067,17 +521,14 @@ class HyperLoRA(nn.Module): return flat_loras, flat_layernorms - @torch.autocast(device_type="cuda", dtype=torch.bfloat16) + # @torch.autocast(device_type="cuda", dtype=torch.bfloat16) def generate_weights( self, features: Float[Tensor, "bs seq_len feature_dim"], - attn_mask: Optional[Integer[Tensor, "bs seq_len"]] = None, - position_ids: Optional[Integer[Tensor, "bs seq_len"]] = None, + attn_mask: Integer[Tensor, "bs seq_len"] | None = None, + position_ids: Integer[Tensor, "bs seq_len"] | None = None, ): flat_loras, flat_layernorms = self.forward(features, attn_mask, position_ids) - # print(f"flat_loras: {flat_loras.shape}") - # if flat_layernorms is not None: - # print(f"flat_layernorms: {flat_layernorms.shape}") return self._to_lora_dict(flat_loras), self._to_layernorm_dict(flat_layernorms) @@ -1103,8 +554,6 @@ class ModulatedPretrainedModel(nn.Module): self.register_module("base_model", base_model) self._init_model() self._bias_hyper_init() - # self.register_module("hypernet", hypernet) - # self.register_module("ctx_encoder", ctx_encoder) @classmethod def from_state_dict( @@ -1130,27 +579,9 @@ class ModulatedPretrainedModel(nn.Module): return model def _init_model(self): - # for name, module in self.base_model.named_modules(): - # if isinstance(module, ModulesToSaveWrapper): - # module.set_adapter("default") - # trainable_base_modules = getattr( - # self.hypernet_config, "trainable_base_modules", None - # ) - # if trainable_base_modules: - # for name, param in self.base_model.named_parameters(): - # if any(module_name in name for module_name in trainable_base_modules): - # param.requires_grad = True - - self.hypernet = HyperLoRA(self.hypernet_config).to(self.device).to(torch.float32) - # ctx_encoder_name = - # if self.ctx_encoder_args.ctx_encoder_model_name_or_path is not None: - # encoder_model = get_model( - # self.ctx_encoder_args.ctx_encoder_model_name_or_path, - # train=True, - # requires_grad=False, - # ) - # else: - # encoder_model = self.base_model + self.hypernet = ( + HyperLoRA(self.hypernet_config).to(self.device).to(torch.float32) + ) ctx_model_name = self.ctx_encoder_args.ctx_encoder_model_name_or_path if ctx_model_name is None: ctx_model_name = self.base_model.config.name_or_path @@ -1169,15 +600,7 @@ class ModulatedPretrainedModel(nn.Module): get_base_model(encoder_model), self.ctx_encoder_args.layer_idx ) - # def to(self, *args, **kwargs): - # # workaround to avoid the hypernet being wrapped by DeepSpeed - # self.base_model = self.base_model.to(*args, **kwargs) - # self.ctx_encoder = self.ctx_encoder.to(*args, **kwargs) - # # self.hypernet = self.hypernet.to(*args, **kwargs) - # # self.hypernet.to(torch.float32) - # return self - - # Delegate to base_model + # delegate to base_model @property def config(self): return self.base_model.config @@ -1198,18 +621,6 @@ class ModulatedPretrainedModel(nn.Module): self.hypernet.head.weight.data[:] = 0 self.hypernet.head.bias.data[:] = 0 - # d_in = self.hypernet.d_in - # d_out = self.hypernet.d_out - # m = max(self.hypernet.target_modules, key=lambda m: d_in[m] + d_out[m]) - - # A = peft_weights[m]["lora_A"].weight.clone()[:, : d_in[m]] # [r, d_in] - # B = peft_weights[m]["lora_B"].weight.clone()[: d_out[m]] # [d_out, r] - # biases = [A, B.T] - - # # bias-hyperinit - # # init weights to zeros and bias to the base weights - # bias_cat = torch.cat(biases, dim=1) - # self.hypernet.head.bias.data[..., :, : bias_cat.shape[1]] = bias_cat for i, m in enumerate(self.hypernet.target_modules): A = peft_weights[m]["lora_A"].weight.clone() # [r, in_d] B = peft_weights[m]["lora_B"].weight.clone() # [out_d, r] @@ -1228,11 +639,6 @@ class ModulatedPretrainedModel(nn.Module): # init weights to zeros and bias to the base weights bias_cat = torch.cat(biases, dim=1) self.hypernet.head.bias.data[..., i, :, : bias_cat.shape[1]] = bias_cat - # if len(self.hypernet.target_modules) > 1: - # self.hypernet.head.bias.data[..., :, : bias_cat.shape[1]] = bias_cat - # else: - # self.hypernet.head.bias.data[..., :, : bias_cat.shape[1]] = bias_cat - # self.hypernet.head.bias.requires_grad = False def state_dict(self, *args, **kwargs): # we assume ctx_encoder and base model is frozen here @@ -1242,27 +648,12 @@ class ModulatedPretrainedModel(nn.Module): raise ValueError("base model contains trainable parameters") state_dict = self.hypernet.state_dict(*args, **kwargs) - # base_state_dict = dict() - # if self.hypernet_config.trainable_base_modules: - # # for k, v in get_peft_model_state_dict(self.base_model).items(): - # # if any(module in k for module in self.hypernet_config.trainable_base_modules): - # # # save only "modules_to_save" - # # base_state_dict[k] = v - # for name, param in self.base_model.named_parameters(): - # if param.requires_grad and any( - # module in name - # for module in self.hypernet_config.trainable_base_modules - # ): - # base_state_dict[name] = param.data - - # state_dict["base_model"] = base_state_dict state_dict["base_model_name_or_path"] = self.base_model.name_or_path state_dict["hypernet_config"] = self.hypernet_config state_dict["ctx_encoder_args"] = self.ctx_encoder_args return state_dict def load_state_dict(self, state_dict: dict, *args, **kwargs): - # NOTE: might have to set `strict=False` as we don't save all the params self.base_model_name_or_path = state_dict.pop("base_model_name_or_path") self.hypernet_config = state_dict.pop("hypernet_config") self.ctx_encoder_args = state_dict.pop("ctx_encoder_args") @@ -1273,48 +664,17 @@ class ModulatedPretrainedModel(nn.Module): f"but the loaded name is: {self.base_model_name_or_path}" ) self._init_model() - state_dict.pop("base_model", None) - # base_state_dict = state_dict.pop("base_model", None) - # if base_state_dict: - # print("Loading base model state dict") - # print(base_state_dict.keys()) - # # peft_load_result = set_peft_model_state_dict( - # # self.base_model, - # # base_state_dict, - # # *args, - # # **kwargs, - # # ) - # load_result = self.base_model.load_state_dict(base_state_dict, strict=False) - # print(f"base_load_result: {load_result}") - return self.hypernet.load_state_dict(state_dict, *args, **kwargs) - - # @torch.no_grad() - # def get_ctx_features( - # self, - # examples: dict[str, Any], - # ): - # # TODO: truncate the ctx_ids to the max_ctx_len - # out = dict() - # input_ids = torch.tensor(examples.get("ctx_ids")).to(self.device) - # # we don't really use ctx_attn_mask here but it'll be padded - # # and used by hypernet.aggregator which has to handle ctx_attn_mask - # attention_mask = torch.tensor(examples.get("ctx_attn_mask")).to(self.device) - - # # NOTE: this might not work for batched inputs - # if isinstance(self.ctx_encoder, nn.Embedding): - # features = self.ctx_encoder(input_ids) - # else: - # features = self.ctx_encoder( - # input_ids=input_ids, attention_mask=attention_mask - # ) - # out["ctx_features"] = features - # return out + load_result = self.hypernet.load_state_dict( + state_dict, strict=False, *args, **kwargs + ) + logger.info(f"load result: {load_result}") + return load_result def generate_weights( self, ctx_ids: Integer[Tensor, "bs ctx_len"], - ctx_attn_mask: Optional[Integer[Tensor, "bs ctx_len"]] = None, - ctx_position_ids: Optional[Integer[Tensor, "bs ctx_len"]] = None, + ctx_attn_mask: Integer[Tensor, "bs ctx_len"] | None = None, + ctx_position_ids: Integer[Tensor, "bs ctx_len"] | None = None, **kwargs: Any, ): with torch.no_grad(): @@ -1323,8 +683,6 @@ class ModulatedPretrainedModel(nn.Module): attention_mask=ctx_attn_mask, position_ids=ctx_position_ids, ) - # TODO: for modernbert ctx_encoder pass - # `cu_seq_len` and `max_seq_len` to the forward call if isinstance(self.ctx_encoder.base_model, ModernBertModel): position_ids = ctx_position_ids.flatten() indices = torch.arange( @@ -1355,54 +713,19 @@ class ModulatedPretrainedModel(nn.Module): if isinstance(self.ctx_encoder.base_model, ModernBertModel): ctx_features = ctx_features.unsqueeze(0) - # print(f"padded ctx_features: {ctx_features.shape}") - # if ctx_attn_mask is not None: - # print(f"padded ctx_attn_mask: {ctx_attn_mask.shape}") - # if ctx_position_ids is not None: - # print(f"padded ctx_position_ids: {ctx_position_ids.shape}") - return self.hypernet.generate_weights( ctx_features, ctx_attn_mask, ctx_position_ids ) - # @torch.inference_mode() - # def _unpack(self, ctx_position_ids, ctx_features): - # # [1, len, d] -> [len, d] - # ctx_features = ctx_features.squeeze(0) - # lengths = torch.where(ctx_position_ids == 0)[1] - # total_len = torch.tensor([len(ctx_features)], device=self.device) - # lengths = torch.cat([lengths, total_len]) - # # compute the difference between the lengths - # lens = torch.diff(lengths).unsqueeze(1) - - # ctx_features = unpack(ctx_features, lens, "* d") - # ctx_attn_mask = [torch.ones(len(x), device=self.device) for x in ctx_features] - # ctx_features = torch.nn.utils.rnn.pad_sequence( - # ctx_features, - # batch_first=True, - # padding_value=0, - # ) - # ctx_attn_mask = torch.nn.utils.rnn.pad_sequence( - # ctx_attn_mask, - # batch_first=True, - # padding_value=0, - # ) - - # return ctx_features, ctx_attn_mask - def forward( self, - # ctx_features: Optional[Float[Tensor, "bs ctx_length feature_dim"]] = None, - ctx_ids: Optional[Integer[Tensor, "bs ctx_len"]] = None, - ctx_attn_mask: Optional[Integer[Tensor, "bs ctx_len"]] = None, - ctx_position_ids: Optional[Integer[Tensor, "bs ctx_len"]] = None, - return_generated_lora: Optional[bool] = False, - # chat_ids: Optional[Integer[Tensor, "bs chat_len"]] = None, - # chat_attn_mask: Optional[Integer[Tensor, "bs chat_len"]] = None, - # chat_labels: Optional[Integer[Tensor, "bs chat_len"]] = None, + ctx_ids: Integer[Tensor, "bs ctx_len"] | None = None, + ctx_attn_mask: Integer[Tensor, "bs ctx_len"] | None = None, + ctx_position_ids: Integer[Tensor, "bs ctx_len"] | None = None, + return_generated_lora: bool | None = False, *model_inputs_args: Any, **model_inputs_kwargs: dict[str, Any], - ) -> Union[tuple, ModelOutput]: + ) -> tuple | ModelOutput: """Forward pass of the modulated model.""" generated_loras = None @@ -1415,9 +738,6 @@ class ModulatedPretrainedModel(nn.Module): "*" * 100, ) ) - # model_outputs = self.base_model(**model_inputs_kwargs) - # model_outputs.generated_loras = None - # return model_outputs else: if self.use_base_input_as_ctx: @@ -1436,15 +756,6 @@ class ModulatedPretrainedModel(nn.Module): if "position_ids" in model_inputs_kwargs else None ) - # with torch.inference_mode(): - # ctx_features = self.ctx_encoder( - # input_ids=ctx_ids, - # attention_mask=ctx_attn_mask, - # position_ids=ctx_position_ids, - # ) - # generated_loras, generated_layernorms = self.hypernet.generate_weights( - # ctx_features, ctx_attn_mask - # ) generated_loras, generated_layernorms = self.generate_weights( ctx_ids, ctx_attn_mask, ctx_position_ids ) @@ -1484,8 +795,8 @@ class ModulatedPretrainedModel(nn.Module): def generate_with_multi_loras( self, ctx_ids: Integer[Tensor, "bs ctx_length"], - ctx_attn_mask: Optional[Integer[Tensor, "bs ctx_length"]] = None, - ctx_position_ids: Optional[Integer[Tensor, "bs ctx_length"]] = None, + ctx_attn_mask: Integer[Tensor, "bs ctx_length"] | None = None, + ctx_position_ids: Integer[Tensor, "bs ctx_length"] | None = None, *model_inputs_args: Any, **model_inputs_kwargs: dict[str, Any], ): @@ -1519,76 +830,13 @@ class ModulatedPretrainedModel(nn.Module): ) return model_outputs - # try: - # # dict of {module: - # # {A: [bs, n_layers, r, d_inim], - # # B: [bs, n_layers, r, d_outim]}} - # generated_loras, _ = self.generate_weights( - # ctx_ids, ctx_attn_mask, ctx_position_ids - # ) - # module_names = get_lora_module_names( - # self.base_model, - # self.hypernet.target_modules, - # self.hypernet.layer_indices, - # ) - - # loras = [dict() for _ in range(len(ctx_ids))] - # # unpacking the dict into a list of dicts - # # loras: list of dict {module: {A: Tensor, B: Tensor}} - # for i in range(len(ctx_ids)): - # for target_module, lora_at_module in generated_loras.items(): - # loras[i][target_module] = dict( - # A=lora_at_module["A"][i], B=lora_at_module["B"][i] - # ) - # # convert to lora state dict - # loras_sd = [ - # generated_lora_to_state_dict( - # lora, - # module_names, - # self.hypernet.target_modules, - # self.hypernet.layer_indices, - # ) - # for lora in loras - # ] - # peft_config = self.base_model.peft_config - # base_model = self.base_model - # # mixed_model = PeftMixedModel(base_model, lora_config) - # for lora_sd in loras_sd: - # lora_name = f"lora_{self.lora_id}" - # print(f"lora_name: {lora_name}") - - # # keys = list(lora_sd.keys()) - # # for key in keys: - # # new_key = key.replace("model.model", "model.model.model") - # # new_key = key.replace("weight", f"{lora_name}.weight") - # # lora_sd[new_key] = lora_sd.pop(key) - - # print(f"lora_sd: {lora_sd.keys()}") - # if lora_name not in peft_config: - # base_model.add_adapter(lora_name, peft_config["default"]) - # load_result = set_peft_model_state_dict( - # base_model, lora_sd, adapter_name=lora_name - # ) - # print(f"missing_keys: {load_result.missing_keys}") - # print(f"unexpected_keys: {load_result.unexpected_keys}") - # self.lora_id += 1 - # self.active_adapters.append(lora_name) - # base_model.set_adapter(self.active_adapters) - # print(f"active_adapters: {self.active_adapters}") - # yield base_model.base_model - - # finally: - # self.base_model.set_adapter("default") - # self.active_adapters = [] - # # self.lora_id = 1 - @torch.inference_mode() def generate( self, # TODO: allow more than one LoRA per sample - ctx_ids: Optional[Integer[Tensor, "bs ctx_length"]] = None, - ctx_attn_mask: Optional[Integer[Tensor, "bs ctx_length"]] = None, - ctx_position_ids: Optional[Integer[Tensor, "bs ctx_length"]] = None, + ctx_ids: Integer[Tensor, "bs ctx_length"] | None = None, + ctx_attn_mask: Integer[Tensor, "bs ctx_length"] | None = None, + ctx_position_ids: Integer[Tensor, "bs ctx_length"] | None = None, *model_inputs_args: Any, **model_inputs_kwargs: dict[str, Any], ): @@ -1606,9 +854,6 @@ class ModulatedPretrainedModel(nn.Module): "*" * 100, ) ) - # model_outputs = self.base_model(**model_inputs_kwargs) - # model_outputs.generated_loras = None - # return model_outputs if ctx_ids is None and self.active_adapters: logger.info( ( @@ -1634,18 +879,11 @@ class ModulatedPretrainedModel(nn.Module): if "position_ids" in model_inputs_kwargs else None ) - # ctx_features = self.ctx_encoder( - # input_ids=ctx_ids, attention_mask=ctx_attn_mask - # ) - # generated_loras, generated_layernorms = self.hypernet.generate_weights( - # ctx_features, ctx_attn_mask - # ) generated_loras, generated_layernorms = self.generate_weights( ctx_ids, ctx_attn_mask, ctx_position_ids ) # apply lora hook to the base model - # self.apply_generated_loras(generated_loras) position_ids = ( model_inputs_kwargs["position_ids"] if "position_ids" in model_inputs_kwargs @@ -1679,7 +917,7 @@ class ModulatedModelWithSharedInput(nn.Module): modulated_model: ModulatedPretrainedModel, base_tokenizer: PreTrainedTokenizerBase, ctx_tokenizer: PreTrainedTokenizerBase, - ctx_end_predicate: Optional[str] = None, + ctx_end_predicate: str | None = None, remove_ctx_from_base_input: bool = False, ): super().__init__() @@ -1763,9 +1001,9 @@ class ModulatedModelWithSharedInput(nn.Module): @contextmanager def apply_generated_layernorm( base_model: nn.Module, - generated_layernorms: Optional[dict[str, Float[Tensor, "bs n_layers h"]]] = None, - layer_indices: Optional[Iterable[int]] = None, - position_ids: Optional[Integer[Tensor, "bs seq_len"]] = None, + generated_layernorms: dict[str, Float[Tensor, "bs n_layers h"]] | None = None, + layer_indices: Iterable[int] | None = None, + position_ids: Integer[Tensor, "bs seq_len"] | None = None, training: bool = False, ): if generated_layernorms is None: @@ -1792,9 +1030,9 @@ def apply_generated_layernorm( @contextmanager def apply_generated_loras( base_model: nn.Module, - generated_loras: Optional[dict] = None, - layer_indices: Optional[Iterable[int]] = None, - position_ids: Optional[Integer[Tensor, "bs seq_len"]] = None, + generated_loras: dict | None = None, + layer_indices: Iterable[int] | None = None, + position_ids: Integer[Tensor, "bs seq_len"] | None = None, training: bool = False, ): if generated_loras is None: @@ -1825,8 +1063,8 @@ def apply_generated_loras( @contextmanager def apply_generated_loras_packed_sequence( base_model: nn.Module, - generated_loras: Optional[dict] = None, - layer_indices: Optional[Iterable[int]] = None, + generated_loras: dict | None = None, + layer_indices: Iterable[int] | None = None, training: bool = False, ): pass @@ -1846,76 +1084,75 @@ torch.serialization.add_safe_globals( ] ) -if __name__ == "__main__": +# if __name__ == "__main__": +# # set torch randomness seed +# torch.manual_seed(42) +# model_name = "meta-llama/Llama-3.1-8B-Instruct" +# base_model, tokenizer = get_model_and_tokenizer( +# model_name, +# train=True, +# requires_grad=False, +# peft_config=get_lora_config(model_name), +# ) +# print(base_model.modules_to_save) +# ctx_model_config = base_model.config +# device = base_model.device +# # lora_config = base_model.peft_config["default"] +# # d_in, d_out = get_peft_in_out_features(base_model, peft_config=lora_config) - # set torch randomness seed - torch.manual_seed(42) - model_name = "meta-llama/Llama-3.1-8B-Instruct" - base_model, tokenizer = get_model_and_tokenizer( - model_name, - train=True, - requires_grad=False, - peft_config=get_lora_config(model_name), - ) - print(base_model.modules_to_save) - ctx_model_config = base_model.config - device = base_model.device - # lora_config = base_model.peft_config["default"] - # d_in, d_out = get_peft_in_out_features(base_model, peft_config=lora_config) +# hypernet_args = HypernetArguments(latent_size=512) +# aggregator_args = AggregatorArguments(aggregator_type=AGGREGATOR_TYPE.PERCEIVER) +# hypernet_config = get_hypernet_config( +# base_model, ctx_model_config, hypernet_args, aggregator_args +# ) +# ctx_encoder_args = CtxEncoderArguments(layer_idx=4) +# # ctx_encoder = EarlyExit(get_base_model(base_model), 4) +# # hypernet = HyperLoRA( +# # get_hypernet_config(base_model, hypernet_args, aggregator_args), +# # base_model, +# # ).to(device) - hypernet_args = HypernetArguments(latent_size=512) - aggregator_args = AggregatorArguments(aggregator_type=AGGREGATOR_TYPE.PERCEIVER) - hypernet_config = get_hypernet_config( - base_model, ctx_model_config, hypernet_args, aggregator_args - ) - ctx_encoder_args = CtxEncoderArguments(layer_idx=4) - # ctx_encoder = EarlyExit(get_base_model(base_model), 4) - # hypernet = HyperLoRA( - # get_hypernet_config(base_model, hypernet_args, aggregator_args), - # base_model, - # ).to(device) +# model = ModulatedPretrainedModel(base_model, hypernet_config, ctx_encoder_args).to( +# device +# ) +# print(model) - model = ModulatedPretrainedModel(base_model, hypernet_config, ctx_encoder_args).to( - device - ) - print(model) +# ctx_msg = "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum." +# ctx_inputs = tokenizer(ctx_msg, return_tensors="pt").to(device) +# ctx_ids = ctx_inputs["input_ids"] +# ctx_attn_mask = ctx_inputs["attention_mask"] +# ctx_features = model.ctx_encoder( +# input_ids=ctx_ids, attention_mask=ctx_attn_mask +# ).to(torch.float32) +# print(ctx_ids.shape) - ctx_msg = "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum." - ctx_inputs = tokenizer(ctx_msg, return_tensors="pt").to(device) - ctx_ids = ctx_inputs["input_ids"] - ctx_attn_mask = ctx_inputs["attention_mask"] - ctx_features = model.ctx_encoder(input_ids=ctx_ids, attention_mask=ctx_attn_mask).to( - torch.float32 - ) - print(ctx_ids.shape) +# model.eval() +# agg_features = model.hypernet.aggregator(ctx_features, ctx_attn_mask) +# print(agg_features) +# print(agg_features.shape) - model.eval() - agg_features = model.hypernet.aggregator(ctx_features, ctx_attn_mask) - print(agg_features) - print(agg_features.shape) +# hnetout = model.hypernet(ctx_features, ctx_attn_mask) +# print(hnetout) +# print(hnetout.shape) - hnetout = model.hypernet(ctx_features, ctx_attn_mask) - print(hnetout) - print(hnetout.shape) +# prompt_msg = "hello" +# prompt_inputs = tokenizer(prompt_msg, return_tensors="pt").to(device) - prompt_msg = "hello" - prompt_inputs = tokenizer(prompt_msg, return_tensors="pt").to(device) +# basemodelout = model.base_model(**prompt_inputs) +# print(basemodelout) - basemodelout = model.base_model(**prompt_inputs) - print(basemodelout) +# modelout = model(ctx_ids, ctx_attn_mask, **prompt_inputs) +# print(modelout) - modelout = model(ctx_ids, ctx_attn_mask, **prompt_inputs) - print(modelout) +# state_dict = torch.load( +# "train_outputs/runs/Jan15_19-10-21_slurm0-a3nodeset-11_d1842c41/checkpoint-55000/pytorch_model.bin", +# weights_only=False, +# ) +# print(state_dict.keys()) +# breakpoint() - state_dict = torch.load( - "train_outputs/runs/Jan15_19-10-21_slurm0-a3nodeset-11_d1842c41/checkpoint-55000/pytorch_model.bin", - weights_only=False, - ) - print(state_dict.keys()) - breakpoint() +# model.load_state_dict(state_dict) +# modelout = model(ctx_ids, ctx_attn_mask, **prompt_inputs) +# print(modelout) - model.load_state_dict(state_dict) - modelout = model(ctx_ids, ctx_attn_mask, **prompt_inputs) - print(modelout) - - breakpoint() +# breakpoint() diff --git a/src/ctx_to_lora/modeling_idefics2.py b/src/ctx_to_lora/modeling/idefics2.py similarity index 94% rename from src/ctx_to_lora/modeling_idefics2.py rename to src/ctx_to_lora/modeling/idefics2.py index 4f60c38..0f90430 100644 --- a/src/ctx_to_lora/modeling_idefics2.py +++ b/src/ctx_to_lora/modeling/idefics2.py @@ -1,4 +1,3 @@ -# coding=utf-8 # Copyright 2024 the HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); @@ -15,32 +14,22 @@ """PyTorch Idefics2 model.""" import math -from dataclasses import dataclass -from typing import List, Optional, Tuple, Union import torch import torch.utils.checkpoint from torch import nn -from torch.nn import CrossEntropyLoss - from transformers.activations import ACT2FN -from transformers.cache_utils import Cache, DynamicCache -from transformers.generation import GenerationMixin +from transformers.cache_utils import Cache +from transformers.configuration_utils import PretrainedConfig from transformers.modeling_attn_mask_utils import _prepare_4d_attention_mask -from transformers.modeling_outputs import BaseModelOutput, ModelOutput -from transformers.modeling_utils import PreTrainedModel, ALL_ATTENTION_FUNCTIONS +from transformers.modeling_utils import PreTrainedModel +from transformers.models.idefics2.configuration_idefics2 import Idefics2Config from transformers.utils import ( add_start_docstrings, - add_start_docstrings_to_model_forward, is_flash_attn_2_available, is_flash_attn_greater_or_equal_2_10, logging, - replace_return_docstrings, ) -from transformers.models.auto import AutoModel -from transformers.configuration_utils import PretrainedConfig -from transformers.models.idefics2.configuration_idefics2 import Idefics2Config - if is_flash_attn_2_available(): from transformers.modeling_flash_attention_utils import _flash_attention_forward @@ -223,7 +212,7 @@ class Idefics2RMSNorm(nn.Module): class Idefics2PerceiverAttention(nn.Module): - def __init__(self, config, layer_idx: Optional[int] = None) -> None: + def __init__(self, config, layer_idx: int | None = None) -> None: """Perceiver Cross-Attention Module --> let long-form inputs be `context`, resampled embeddings be `latents`""" super().__init__() self.config = config @@ -254,12 +243,12 @@ class Idefics2PerceiverAttention(nn.Module): self, latents: torch.Tensor, context: torch.Tensor, - attention_mask: Optional[torch.Tensor] = None, - position_ids: Optional[torch.LongTensor] = None, - past_key_value: Optional[Tuple[torch.Tensor]] = None, + attention_mask: torch.Tensor | None = None, + position_ids: torch.LongTensor | None = None, + past_key_value: tuple[torch.Tensor] | None = None, output_attentions: bool = False, use_cache: bool = False, - ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + ) -> tuple[torch.Tensor, torch.Tensor | None, tuple[torch.Tensor] | None]: """ Runs Perceiver Self-Attention, with special (context, latents) appended along the `seq` dimension! @@ -365,13 +354,13 @@ class Idefics2PerceiverFlashAttention2(Idefics2PerceiverAttention): self, latents: torch.Tensor, context: torch.Tensor, - attention_mask: Optional[torch.LongTensor] = None, - position_ids: Optional[torch.LongTensor] = None, - past_key_value: Optional[Cache] = None, + attention_mask: torch.LongTensor | None = None, + position_ids: torch.LongTensor | None = None, + past_key_value: Cache | None = None, output_attentions: bool = False, use_cache: bool = False, **kwargs, - ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + ) -> tuple[torch.Tensor, torch.Tensor | None, tuple[torch.Tensor] | None]: bsz, q_len, _ = latents.size() # kv_seq_len = q_len + context.size()[1] kv_seq_len = context.size()[1] @@ -526,13 +515,13 @@ class Idefics2PerceiverLayer(nn.Module): self, latents: torch.Tensor, context: torch.Tensor, - attention_mask: Optional[torch.Tensor] = None, - position_ids: Optional[torch.LongTensor] = None, - past_key_value: Optional[Tuple[torch.Tensor]] = None, - output_attentions: Optional[bool] = False, - use_cache: Optional[bool] = False, + attention_mask: torch.Tensor | None = None, + position_ids: torch.LongTensor | None = None, + past_key_value: tuple[torch.Tensor] | None = None, + output_attentions: bool | None = False, + use_cache: bool | None = False, **kwargs, - ) -> Tuple[torch.FloatTensor, Optional[Tuple[torch.FloatTensor, torch.FloatTensor]]]: + ) -> tuple[torch.FloatTensor, tuple[torch.FloatTensor, torch.FloatTensor] | None]: """ Args: latents (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` @@ -624,8 +613,8 @@ class Idefics2PerceiverResampler(Idefics2PreTrainedModel): def forward( self, context: torch.Tensor, - attention_mask: Optional[torch.Tensor] = None, - position_ids: Optional[torch.LongTensor] = None, + attention_mask: torch.Tensor | None = None, + position_ids: torch.LongTensor | None = None, ) -> torch.Tensor: # seq embed -> bsz seq embed if position_ids is None: @@ -732,8 +721,8 @@ class Idefics2Perceiver(Idefics2PreTrainedModel): def forward( self, context: torch.Tensor, - attention_mask: Optional[torch.Tensor] = None, - position_ids: Optional[torch.LongTensor] = None, + attention_mask: torch.Tensor | None = None, + position_ids: torch.LongTensor | None = None, ): if position_ids is None: bsz = context.shape[0] diff --git a/src/ctx_to_lora/pooling.py b/src/ctx_to_lora/pooling.py index ac6d171..4541ff8 100644 --- a/src/ctx_to_lora/pooling.py +++ b/src/ctx_to_lora/pooling.py @@ -1,10 +1,8 @@ from enum import Enum -from typing import Optional import torch from jaxtyping import Float, Integer from torch import Tensor -from torch.nn import functional as F POOL_FN = Enum("POOL_FN", ["MEAN", "MAX", "LAST_TOKEN"]) @@ -24,7 +22,7 @@ def get_pooling_fn(pooling_type: str): def mean_pool( features: Float[Tensor, "bs seq_len feature_dim"], - attn_mask: Optional[Integer[Tensor, "bs seq_len"]] = None, + attn_mask: Integer[Tensor, "bs seq_len"] | None = None, ) -> Float[Tensor, "bs 1 feature_dim"]: if attn_mask is not None: features = features.masked_fill(inv_bool_mask(attn_mask), 0) @@ -33,7 +31,7 @@ def mean_pool( def max_pool( features: Float[Tensor, "bs seq_len feature_dim"], - attn_mask: Optional[Integer[Tensor, "bs seq_len"]] = None, + attn_mask: Integer[Tensor, "bs seq_len"] | None = None, ) -> Float[Tensor, "bs 1 feature_dim"]: if attn_mask is not None: features = features.masked_fill(inv_bool_mask(attn_mask), -float("inf")) @@ -42,9 +40,8 @@ def max_pool( def last_token_pool( features: Float[Tensor, "bs seq_len feature_dim"], - attn_mask: Optional[Integer[Tensor, "bs seq_len"]] = None, + attn_mask: Integer[Tensor, "bs seq_len"] | None = None, ) -> Float[Tensor, "bs feature_dim"]: - left_padding = attn_mask[:, -1].sum() == attn_mask.shape[0] if left_padding: return features[:, -1] diff --git a/src/ctx_to_lora/self_generate_data.py b/src/ctx_to_lora/self_generate_data.py deleted file mode 100644 index 213c900..0000000 --- a/src/ctx_to_lora/self_generate_data.py +++ /dev/null @@ -1,5 +0,0 @@ -# when generating dont forget to remove dup contexts -# merge QAs from dup contexts to construct -# a doc with QAs at the end -# maybe mix with some that doesn;t have QAs -# TODO: implement diff --git a/src/ctx_to_lora/training_utils.py b/src/ctx_to_lora/trainer.py similarity index 58% rename from src/ctx_to_lora/training_utils.py rename to src/ctx_to_lora/trainer.py index b76858d..dbf014c 100644 --- a/src/ctx_to_lora/training_utils.py +++ b/src/ctx_to_lora/trainer.py @@ -1,16 +1,11 @@ -import gc import logging -from enum import Enum -import torch from transformers import Trainer +from transformers.models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES from transformers.trainer import _is_peft_model from transformers.trainer_utils import IntervalStrategy -from transformers.models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES -from ctx_to_lora.modeling_utils import ModulatedPretrainedModel - -TRAINING_TASK = Enum("TRAINING_TASK", ["CAUSAL_LM", "COMPLETION"]) +from ctx_to_lora.modeling.hypernet import ModulatedPretrainedModel logger = logging.getLogger() @@ -20,10 +15,12 @@ class ModulatedModelTrainer(Trainer): self.gen_lora_l1_reg_coef = kwargs.pop("gen_lora_l1_reg_coef", 0.0) super().__init__(*args, **kwargs) - def compute_loss(self, model, inputs, return_outputs=False, num_items_in_batch=None): + def compute_loss( + self, model, inputs, return_outputs=False, num_items_in_batch=None + ): """ - How the loss is computed by Trainer. By default, all models return the loss in the first element. - + How the loss is computed by Trainer. + By default, all models return the loss in the first element. Subclass and override for custom behavior. """ if ( @@ -61,8 +58,11 @@ class ModulatedModelTrainer(Trainer): else: if isinstance(outputs, dict) and "loss" not in outputs: raise ValueError( - "The model did not return a loss from the inputs, only the following keys: " - f"{','.join(outputs.keys())}. For reference, the inputs it received are {','.join(inputs.keys())}." + "The model did not return a loss from the inputs, " + "only the following keys: " + f"{','.join(outputs.keys())}. " + "For reference, the inputs it received are " + f"{','.join(inputs.keys())}." ) # We don't use .loss here since the model may return tuples instead of ModelOutput. loss = outputs["loss"] if isinstance(outputs, dict) else outputs[0] @@ -86,27 +86,13 @@ class ModulatedModelTrainer(Trainer): return (loss, outputs) if return_outputs else loss -def clear_gpu(): - gc.collect() - torch.cuda.empty_cache() - torch.cuda.reset_max_memory_allocated() - torch.cuda.reset_max_memory_cached() - - def train_model( model, - # tokenizer, training_args, train_dataset=None, val_dataset=None, - # test_dataset=None, train_collator=None, - # generation_collator=None, compute_metrics=None, - train_sampler=None, - # preprocess_logits_for_metrics=None, - # max_new_tokens=2**13, - # gen_per_device_eval_batch_size=1, ): checkpoint = None if training_args.resume_from_checkpoint is not None: @@ -135,65 +121,6 @@ def train_model( train_result = trainer.train(resume_from_checkpoint=checkpoint) trainer.log_metrics("train", train_result.metrics) trainer.save_model() - clear_gpu() - # metrics = trainer.evaluate(dict(**val_dataset, test=test_dataset)) - # trainer.log_metrics("eval", metrics) - # trainer.save_metrics("eval", metrics) - # trainer.save_model() + # TODO: add benchmark eval? # clear_gpu() - - # ############## Evaluation - # # TODO: eval does not work when using with deepspeed - # # make a separate eval script - - # # max_input_len=2**13 # for input truncation - - # gen_kwargs = dict(do_sample=False, max_new_tokens=max_new_tokens) - # # pad_token_id=tokenizer.pad_token_id, - # # eos_token_id=? - - # eval_trainer_args = {} - - # # Copy only necessary attributes from training_args to eval_trainer_args - # seq2seq_training_args_fields = {f.name for f in fields(Seq2SeqTrainingArguments)} - # for attr, value in training_args.to_dict().items(): - # if attr in seq2seq_training_args_fields: - # eval_trainer_args[attr] = value - - # eval_trainer_args["eval_strategy"] = "no" - # eval_trainer_args["save_strategy"] = "no" - # eval_trainer_args["overwrite_output_dir"] = True - # eval_trainer_args["per_device_eval_batch_size"] = gen_per_device_eval_batch_size - - # # NOTE: could also set kv_cache implementation here - # eval_trainer_args = Seq2SeqTrainingArguments( - # **eval_trainer_args, - # predict_with_generate=True, - # generation_config=GenerationConfig(**gen_kwargs), - # ) - - # # Seq2SeqTrainer is actually just the same as Trainer - # # (although it uses a different data collator, i.e., explicit prompt/answer separation) - # # it just allows `predict_with_generate` - # # allowing us to compute metrics on the generated outputs - # # no clue why they call this seq2seq... - - # logger.info("=" * 80 + "\n" + "Evaluating model..." + "\n" + "=" * 80) - - # model.eval() - - # eval_trainer = Seq2SeqTrainer( - # model=model, - # args=eval_trainer_args, - # # TODO: use a different collator for test, e.g., more max_len truncation - # # w/ left padding? - # # removing label part from input_ids - # data_collator=generation_collator, - # ) - - # for split, ds in zip(["eval", "test"], [val_dataset, test_dataset]): - # if ds is None: - # continue - # eval_generation(eval_trainer, tokenizer, ds, split, gen_kwargs) - # clear_gpu() diff --git a/src/ctx_to_lora/utils.py b/src/ctx_to_lora/utils.py index 9eacbb5..16bc60e 100644 --- a/src/ctx_to_lora/utils.py +++ b/src/ctx_to_lora/utils.py @@ -1,12 +1,14 @@ import ast +import gc +import hashlib import logging import os import random import string import time -import hashlib +from collections.abc import Iterable from contextlib import contextmanager -from typing import Iterable, Optional +from enum import Enum import torch import yaml @@ -14,6 +16,9 @@ from peft import PeftConfig, PeftModel from peft.tuners.tuners_utils import BaseTunerLayer, check_target_module_exists from peft.utils import get_peft_model_state_dict +TRAINING_TASK = Enum("TRAINING_TASK", ["CAUSAL_LM", "COMPLETION"]) + + logger = logging.getLogger() @@ -74,7 +79,7 @@ def log_num_train_params(model): ) -def get_run_name(seed_str: Optional[str] = None): +def get_run_name(seed_str: str | None = None): if not seed_str: uuid = "".join( [random.choice(string.ascii_letters + string.digits) for _ in range(8)] @@ -158,9 +163,8 @@ def save_yaml(data, path): def get_peft_in_out_features( model: PeftModel, - peft_config: Optional[PeftConfig] = None, + peft_config: PeftConfig | None = None, ) -> tuple[dict[str, int], dict[str, int]]: - if peft_config is None: return None, None in_features = dict() @@ -172,9 +176,9 @@ def get_peft_in_out_features( continue # support just Linear layer for now # all modules should be a leave module that is Linear layer - assert isinstance( - module.base_layer, torch.nn.Linear - ), "all modules should be a leave module that is Linear layer" + assert isinstance(module.base_layer, torch.nn.Linear), ( + "all modules should be a leave module that is Linear layer" + ) # this should always pass name = module_name.split(".")[-1] @@ -233,3 +237,10 @@ def get_lora_module_names( module_names[target_module][layer_idx].append(k) break return module_names + + +def clear_gpu(): + gc.collect() + torch.cuda.empty_cache() + torch.cuda.reset_max_memory_allocated() + torch.cuda.reset_max_memory_cached() diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..ecdce58 --- /dev/null +++ b/uv.lock @@ -0,0 +1,4257 @@ +version = 1 +revision = 2 +requires-python = ">=3.10" +resolution-markers = [ + "python_full_version >= '3.12' and sys_platform == 'linux'", + "python_full_version >= '3.12' and sys_platform != 'linux'", + "python_full_version == '3.11.*' and sys_platform == 'linux'", + "python_full_version == '3.11.*' and sys_platform != 'linux'", + "python_full_version < '3.11' and sys_platform == 'linux'", + "python_full_version < '3.11' and sys_platform != 'linux'", +] + +[[package]] +name = "absl-py" +version = "2.2.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/b5/f0/e6342091061ed3a46aadc116b13edd7bb5249c3ab1b3ef07f24b0c248fc3/absl_py-2.2.2.tar.gz", hash = "sha256:bf25b2c2eed013ca456918c453d687eab4e8309fba81ee2f4c1a6aa2494175eb", size = 119982, upload-time = "2025-04-03T12:41:04.55Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f6/d4/349f7f4bd5ea92dab34f5bb0fe31775ef6c311427a14d5a5b31ecb442341/absl_py-2.2.2-py3-none-any.whl", hash = "sha256:e5797bc6abe45f64fd95dc06394ca3f2bedf3b5d895e9da691c9ee3397d70092", size = 135565, upload-time = "2025-04-03T12:41:03.172Z" }, +] + +[[package]] +name = "accelerate" +version = "1.6.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "huggingface-hub" }, + { name = "numpy" }, + { name = "packaging" }, + { name = "psutil" }, + { name = "pyyaml" }, + { name = "safetensors" }, + { name = "torch" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/8a/6e/c29a1dcde7db07f47870ed63e5124086b11874ad52ccd533dc1ca2c799da/accelerate-1.6.0.tar.gz", hash = "sha256:28c1ef1846e690944f98b68dc7b8bb6c51d032d45e85dcbb3adb0c8b99dffb32", size = 363804, upload-time = "2025-04-01T11:53:03.037Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/63/b1/8198e3cdd11a426b1df2912e3381018c4a4a55368f6d0857ba3ca418ef93/accelerate-1.6.0-py3-none-any.whl", hash = "sha256:1aee717d3d3735ad6d09710a7c26990ee4652b79b4e93df46551551b5227c2aa", size = 354748, upload-time = "2025-04-01T11:53:01.298Z" }, +] + +[[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 = "3.12.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "aiohappyeyeballs" }, + { name = "aiosignal" }, + { name = "async-timeout", marker = "python_full_version < '3.11'" }, + { name = "attrs" }, + { name = "frozenlist" }, + { name = "multidict" }, + { name = "propcache" }, + { name = "yarl" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/6a/61/d37b33a074ad867d1ecec9f03183e2b9fee067745cae17e73c264f556d57/aiohttp-3.12.0.tar.gz", hash = "sha256:e3f0a2b4d7fb16c0d584d9b8860f1e46d39f7d93372b25a6f80c10015a7acdab", size = 7762804, upload-time = "2025-05-24T22:33:33.318Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c5/6d/687b42743088d86de83653153d4ef2ddf77372ce46b9d404c8340b9fec00/aiohttp-3.12.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91fca62b1a454a72c48345ad3af0327c87a7352598049fd9fd02b5c96deca456", size = 690021, upload-time = "2025-05-24T22:30:13.027Z" }, + { url = "https://files.pythonhosted.org/packages/66/6d/19bac9bdbaf0893005d61a25898147c781fa78c337d09d989a5216e6422e/aiohttp-3.12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4cd2ffa8cefce24305e573780d3d4a1bc8904bb76bc208509108bac04bc85c71", size = 466392, upload-time = "2025-05-24T22:30:15.44Z" }, + { url = "https://files.pythonhosted.org/packages/1c/0b/3c6327efc64d509b5de1fc9157aa4da555d22154ba21893dee9a169c70dd/aiohttp-3.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b011907c9f024d9b2017a2c12ca8abea571b919ebd85d42f16bd91a716dc7de2", size = 454164, upload-time = "2025-05-24T22:30:17.852Z" }, + { url = "https://files.pythonhosted.org/packages/97/eb/d536fb2e07d497d6d1c489ed39918d14a444c4fd00557b1d86cf6816dc07/aiohttp-3.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d9c8db3b45fb114739bc3daae85ceb03b2bcb11f11f2d1eae25b00b989cd306a", size = 1636208, upload-time = "2025-05-24T22:30:19.838Z" }, + { url = "https://files.pythonhosted.org/packages/6d/d7/26760f0596731227cfa3db4f8dc76bda7283de9b6401a5584fcde30e0661/aiohttp-3.12.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:976607ee1790d2e6d1666f89f64afd9397af2647b5a99a84dc664a3ac715754f", size = 1610265, upload-time = "2025-05-24T22:30:21.704Z" }, + { url = "https://files.pythonhosted.org/packages/1a/bd/25a3189e2bacfffbf1099646856ffc1fe4479a2c98c90f3d7bc2c7161130/aiohttp-3.12.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e76898841d4e655ac5e7e2f1e146d9e56ee1ffd2ce2dd31b41ab23bcfb29b209", size = 1682672, upload-time = "2025-05-24T22:30:24.015Z" }, + { url = "https://files.pythonhosted.org/packages/69/00/7ef9722e9d4442ce155c6e6a08f6824f041384b04d92baa60096acb9b1df/aiohttp-3.12.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3ad61b28652898b25e7c8d42970b9f27f7eff068623704aad4424e2ee9409a80", size = 1724983, upload-time = "2025-05-24T22:30:25.997Z" }, + { url = "https://files.pythonhosted.org/packages/6b/c3/c6fa242e13281b06acf0a00b6b8a77f44fc28ba78924405508c7f9086ffc/aiohttp-3.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba8d85d36edc6698ef94cf8f7fcf5992cc2d9b639de67a1112799d5020c91a63", size = 1629649, upload-time = "2025-05-24T22:30:28.588Z" }, + { url = "https://files.pythonhosted.org/packages/9a/97/bed6b780aa8c7aa14d6676521634e81895e87fb2da1bbf2ae54772478d16/aiohttp-3.12.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5123488226a61df4a515dc3d5c3c0b578660ec3c22d2579599ce2e45335655db", size = 1569772, upload-time = "2025-05-24T22:30:31.084Z" }, + { url = "https://files.pythonhosted.org/packages/c8/df/b34c6b94aee4395268bf7d76ee18f9e45fd652a8bad2cfc5f9f0dc757b26/aiohttp-3.12.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:a03fb47a954df7fb0d587053e2feafdd5306828fc8a764b456775fc00d2d82a9", size = 1613621, upload-time = "2025-05-24T22:30:33.286Z" }, + { url = "https://files.pythonhosted.org/packages/97/df/3ce40545a00b2614a33ee1a99d12d4b06cfa090cfa1d06a7e0818309124f/aiohttp-3.12.0-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:bf9acc3914c921ea8fb0bcda3d07ece85d09eff035bd7c11cea826aa5dd827a5", size = 1624408, upload-time = "2025-05-24T22:30:35.703Z" }, + { url = "https://files.pythonhosted.org/packages/4c/9f/25bc921e20901787977e634ce0718637a3cc81e91c5776420c7673328f7c/aiohttp-3.12.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:c7cfb0b19e775143982e34a472f9da66067c22b66ce7a56e88f851752a467f15", size = 1599861, upload-time = "2025-05-24T22:30:38.179Z" }, + { url = "https://files.pythonhosted.org/packages/10/97/a656de02fb70db5819f2ab2bc9b7831b774220ed4c4098b5cdb87fcb78d9/aiohttp-3.12.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:2eba07f1de9a02920f34761c8b8e375f91fd98304a80ff0287f8e9e2804decf7", size = 1679447, upload-time = "2025-05-24T22:30:40.215Z" }, + { url = "https://files.pythonhosted.org/packages/ec/79/d77fe1eac6be73c8826cb3ddde134a5b2309b157e6e48875c3665b31242b/aiohttp-3.12.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:d46d99d028ad4a566f980bc8790099288824212c0f21a275d546be403cbcb7bc", size = 1702687, upload-time = "2025-05-24T22:30:42.584Z" }, + { url = "https://files.pythonhosted.org/packages/ac/18/29b1ec691bb172244b7619e72ac30814b6b5f6a07ec4b933ee9896bf9659/aiohttp-3.12.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0bd190e4c418c1072563dd998ae118dfb588101f60c1af396e5cd42023f29259", size = 1631026, upload-time = "2025-05-24T22:30:44.982Z" }, + { url = "https://files.pythonhosted.org/packages/13/bc/299a2dbb9f92b6bd4c025ba39704c947e3b406ea65626aa817f9ff8bd087/aiohttp-3.12.0-cp310-cp310-win32.whl", hash = "sha256:709d823cc86d0c3ab4e9b449fefba47a1a8586fe65a00d5fbce393458be9da1c", size = 415301, upload-time = "2025-05-24T22:30:47.663Z" }, + { url = "https://files.pythonhosted.org/packages/0f/42/88b1162432dbb3e7a8776828d6a096d520f4046f836a2bbfdaa28cfffb1b/aiohttp-3.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:a44b25ade659f8736b0f2c32cfd2b59449defad41c5f1e514b94a338c777226f", size = 438506, upload-time = "2025-05-24T22:30:49.554Z" }, + { url = "https://files.pythonhosted.org/packages/d9/8c/f2d1c0cb4b859185bb38369180785342ef0ba56328c8cb2a0b7c9ddf8651/aiohttp-3.12.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:38ab87bc3c2f2c3861438e537cbd6732d72b73f2b82ea9ba4b214b6aca170ad9", size = 697333, upload-time = "2025-05-24T22:30:51.888Z" }, + { url = "https://files.pythonhosted.org/packages/6e/d7/65d1de0140b952cc88683cf4f52fe0c29d5c617ee1c5a4b9b40ad43d67c8/aiohttp-3.12.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8862c9b190854c0ff3f5a3f25abee9ed7641aee6eccdc81aed2c3d427623d3dc", size = 469618, upload-time = "2025-05-24T22:30:54.168Z" }, + { url = "https://files.pythonhosted.org/packages/35/49/4aaefdfa5aa74bc6276660175664eb6e1e654ae3befe5342abfcbf596ec7/aiohttp-3.12.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8cd1eb1d5498cc541ce40946e148371e23efefcf48afdaa68f49328d2849f393", size = 457881, upload-time = "2025-05-24T22:30:56.616Z" }, + { url = "https://files.pythonhosted.org/packages/c2/c5/8eea63458cbf37e8b917cff62a0d5606c5df58b502cd00b03aaf57db6383/aiohttp-3.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:07b7e64a7c325e2d87523e1f8210bdba0e2e159703ad00f75bff336134d8490a", size = 1728063, upload-time = "2025-05-24T22:30:58.707Z" }, + { url = "https://files.pythonhosted.org/packages/9c/32/70b637ee15e3e72b6b028748a2a46bb555ae91311bf9c266db2e248922b2/aiohttp-3.12.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:1accf0a2270e1e05b453d1dd0f51f176148eec81306c39da39b7af5b29e1d56b", size = 1676733, upload-time = "2025-05-24T22:31:01.632Z" }, + { url = "https://files.pythonhosted.org/packages/ba/b0/146f27c6d1565d692c3c9d7ba20af6b794ad43984260ec733f024c26da5a/aiohttp-3.12.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8c3aaae0180d804b4fe95cee7fe03c2ff362828c5ebb7a8370132957104b6311", size = 1775525, upload-time = "2025-05-24T22:31:03.68Z" }, + { url = "https://files.pythonhosted.org/packages/10/1b/29707acfc556b9acb2471702623e3c2962569ae5df58e977b356825b65cd/aiohttp-3.12.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c0ab714799a6fd698715d9fc1d1a546a99288288939506fede60d133dc53328b", size = 1814571, upload-time = "2025-05-24T22:31:05.675Z" }, + { url = "https://files.pythonhosted.org/packages/da/96/ced0a23a2898aa97facc8aa7dc92e207541811de1c34f30cb4338f57dda1/aiohttp-3.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:02b33c67d7db1a4b2df28e5c1e4d8c025db8e4432b3d054db3ea695063cbfc52", size = 1717031, upload-time = "2025-05-24T22:31:07.761Z" }, + { url = "https://files.pythonhosted.org/packages/5f/8f/25760fca550eaaa8c3759f854eda95e3c3e373d942434939da823211c39e/aiohttp-3.12.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3718948668ae986d53bd2c443ffc82e6559de2bec1d66a215c1c5e059d80ff37", size = 1654106, upload-time = "2025-05-24T22:31:09.717Z" }, + { url = "https://files.pythonhosted.org/packages/ef/26/d81ed27b520c25b5b84102bd6ddbf16154d7b07d12097b3fdad7c5e5df3b/aiohttp-3.12.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:fc9f188d2b864f65b17cee23d7a1923285df0c7b978058b0e2006426700d4c93", size = 1702381, upload-time = "2025-05-24T22:31:11.812Z" }, + { url = "https://files.pythonhosted.org/packages/3d/51/c0e7dc789cdc7105803099c89e57d8dcfe4671600e3ec0f05ce1fb6954be/aiohttp-3.12.0-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:0851359eeb146690c19d368a1c86acf33dc17535ac8123e25a0eff5f5fa110e1", size = 1697542, upload-time = "2025-05-24T22:31:13.822Z" }, + { url = "https://files.pythonhosted.org/packages/8a/f4/83d9fff93bbb4b26aeb319bd007c63e87e37655bc63fdfb7b561c663b631/aiohttp-3.12.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:3fcc1ccd74c932ce6b6fad61e054baa23e6624db8f5a9ec462af023abe5c600d", size = 1677726, upload-time = "2025-05-24T22:31:15.865Z" }, + { url = "https://files.pythonhosted.org/packages/f7/54/7878850b0d764f82ac9629ca8dc4b44c21e2f771dd1aff51d9c336dd6a64/aiohttp-3.12.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:062eaf38763c6b22fcbd47a97ba06952ad7751ed7b054a690cddeed4f50547fe", size = 1771326, upload-time = "2025-05-24T22:31:17.989Z" }, + { url = "https://files.pythonhosted.org/packages/64/3c/f07536f9f5c9572d91260463e4d132ad225b07a34552a0d0b3f01b3988df/aiohttp-3.12.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:b19f964b9130d572f0fed752417446ff6622fd1288e8c7860824a0dd57cd8dd5", size = 1791787, upload-time = "2025-05-24T22:31:20.706Z" }, + { url = "https://files.pythonhosted.org/packages/7e/41/ac33993993b2b0b1e9082b99a72c2a18ab595d53f258aa33d8cdf6ee98cf/aiohttp-3.12.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b210c1cdc7f1a45714d17510b7e049ca7b15766b66f8c278a2c73a6021bbc389", size = 1704843, upload-time = "2025-05-24T22:31:22.947Z" }, + { url = "https://files.pythonhosted.org/packages/6b/3c/b8396363eae9e77a2c605d826e549f2f5d1d79f77b12f17c655e7e3b6a2f/aiohttp-3.12.0-cp311-cp311-win32.whl", hash = "sha256:6859c7ecd01cbcc839476c7d9504a19bf334bbe45715df611d351103945a9d23", size = 414813, upload-time = "2025-05-24T22:31:25.03Z" }, + { url = "https://files.pythonhosted.org/packages/72/9f/d7bd0442c1af0efd9af493399db1eccafce8c5e47f1600b565e069eaaf99/aiohttp-3.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:0159620f09dd338bab29e7136efd51c971462a5bb69dcdace39a2c581e87c4af", size = 439203, upload-time = "2025-05-24T22:31:27.047Z" }, + { url = "https://files.pythonhosted.org/packages/a4/83/5cf89e601d565ca18fa8792f5b7393f6f3d80fa26447ee4649232f83a6aa/aiohttp-3.12.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:71fe01ddea2673973f1958c3776da990106e33a02a4a5c708d4bb34717cae712", size = 688428, upload-time = "2025-05-24T22:31:29.505Z" }, + { url = "https://files.pythonhosted.org/packages/fc/f4/034d086f5dacd94063a6926d17c63094ba32dd4938954beb704a6f90d2a6/aiohttp-3.12.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:9ce499a7ea20925572d52f86cd42e16690f4db2ff56933710bf759cf1ec68212", size = 463055, upload-time = "2025-05-24T22:31:31.314Z" }, + { url = "https://files.pythonhosted.org/packages/9d/e4/47fccf8b5e6a174228a3e1df7f5c723c3f120e2da6f06cac8df05cac2aa2/aiohttp-3.12.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:75a7d00e20221b1bb8a04e14dba850596cdafeac10fb112ce7b6ef0ad1f9bd42", size = 455888, upload-time = "2025-05-24T22:31:33.238Z" }, + { url = "https://files.pythonhosted.org/packages/43/34/8b94b13b80f1a83fef87a4e324067f72e73a9713dae497de9eff0e5754ce/aiohttp-3.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f9cb8f69371d50ba61f061065d440edcbebf00cb4ef2141465a9e753a00ecb9", size = 1702681, upload-time = "2025-05-24T22:31:35.724Z" }, + { url = "https://files.pythonhosted.org/packages/f5/aa/1e8b90fbe2bfb1684f4461dc70f05d4235bc7e962d39e0febe6bbeec68f3/aiohttp-3.12.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:037a53da5016e8fa33840ecddb2bdc20091d731e0fe866f4f9d9364a94504856", size = 1685327, upload-time = "2025-05-24T22:31:37.849Z" }, + { url = "https://files.pythonhosted.org/packages/4e/74/f9b801c9b250b9501d3ce28ce3e499cedf77035dfc4d74c7e5488a9980d7/aiohttp-3.12.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:851543bb8dd5db048c0b6a7454cae3fd0f618a592cbb70844ec0d548767b5763", size = 1740423, upload-time = "2025-05-24T22:31:40.189Z" }, + { url = "https://files.pythonhosted.org/packages/b4/24/e848b8493c5597cfd7814e3952e182cb91b3193adcea5967513844e99051/aiohttp-3.12.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2688fb204b07c2bffcb12795b6384ec051d927147e0ec542ba3518dd60a86f2f", size = 1786578, upload-time = "2025-05-24T22:31:43.006Z" }, + { url = "https://files.pythonhosted.org/packages/29/4e/63044dfa4176be5c795db24fdae7233acc1895794c544de9689438923acd/aiohttp-3.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9cbc8604c21a163ee492542b344a4f02797d48d38d335af47490d77c0e15d2ed", size = 1706017, upload-time = "2025-05-24T22:31:45.605Z" }, + { url = "https://files.pythonhosted.org/packages/aa/0e/2d7f4a0e6f22578b536fd1a22f3b1cf19b8f0f05a6feffcb6fd26ac97ddd/aiohttp-3.12.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:754d5fd1a47656592d3b11488652fba567d00c6492e9304ba59255dfee8b856f", size = 1621819, upload-time = "2025-05-24T22:31:47.752Z" }, + { url = "https://files.pythonhosted.org/packages/70/7e/8d2f3ed654b7a4d7c5c57eec88e2e01a610e16f4a851f033e37115a5c860/aiohttp-3.12.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:2a613da41e577256d13929bbb4a95cadb570aebeab3914a24fc0056ae843d3c7", size = 1682881, upload-time = "2025-05-24T22:31:49.947Z" }, + { url = "https://files.pythonhosted.org/packages/e1/a6/bffbecc2e53b63081a958b98291ef11e005c03bc8e353934c7e5ba2e3002/aiohttp-3.12.0-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:9c8f9e1de28529751345f1e55cb405f22ff09fb251a1bce7fc7e915d0ee49d1f", size = 1704334, upload-time = "2025-05-24T22:31:52.136Z" }, + { url = "https://files.pythonhosted.org/packages/36/78/4c420fbda62f50585b9537fca612b4c09af5c0f85419e87082f31440b8d5/aiohttp-3.12.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:32c1977f5354fef6b43b98ac830c87bddaafcfb6516c520e3241fef8f3e299e7", size = 1644986, upload-time = "2025-05-24T22:31:54.787Z" }, + { url = "https://files.pythonhosted.org/packages/b3/88/616f05549e083f7985fa5ca39f7b7ec2bb6921330f31891e164346ce415d/aiohttp-3.12.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:4ac3e360ab9c1b7893ae5c254a222986162bafa9f981fa85f09bad7b1527fed4", size = 1724548, upload-time = "2025-05-24T22:31:57.369Z" }, + { url = "https://files.pythonhosted.org/packages/44/a7/bbfc67803bbd7cc3b8b36e98dfabbf0cf3eedd66583a735a1d1ecba182b4/aiohttp-3.12.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:b3e62337e0a24925fefe638f8dd91be4324ac7f2bbbe9d8d0ae992bd35b2dc45", size = 1752523, upload-time = "2025-05-24T22:31:59.552Z" }, + { url = "https://files.pythonhosted.org/packages/86/69/b85b4a531669d20b5effcb7ff00dd515cd0530a51db5749de14b1fbc8a34/aiohttp-3.12.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7285a756ba23e99f1a24cf41e8440f06a1d2cba595ee2cc1acb854e4262e2075", size = 1712132, upload-time = "2025-05-24T22:32:01.799Z" }, + { url = "https://files.pythonhosted.org/packages/0e/07/ae3b5ab96caadfa7f2d1e1718ececf9c0dcd05cd2338eb02a9a8de4c772a/aiohttp-3.12.0-cp312-cp312-win32.whl", hash = "sha256:b53cd833233a09d5a22481a7e936bfdce46845e3b09f1b936d383d5c14d39ba6", size = 409548, upload-time = "2025-05-24T22:32:03.957Z" }, + { url = "https://files.pythonhosted.org/packages/71/bc/e8ce9d8c298f6e5d8517a684eb616089c01c4c8185fec5376b19ac7b72c8/aiohttp-3.12.0-cp312-cp312-win_amd64.whl", hash = "sha256:68e4a94c3bf80e93340d4c9108f57b46b019ca88eddec18bf5c8e1ded463cbef", size = 435645, upload-time = "2025-05-24T22:32:05.88Z" }, + { url = "https://files.pythonhosted.org/packages/fd/7e/9d27424fadc63f89d9165e7865ecdcf49bd4ce03ed5f453e8fb1300c3ede/aiohttp-3.12.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:6ab223f5d0bd30f1b419addc4aef37f8d7723027e3d92393281cba97f8529209", size = 682843, upload-time = "2025-05-24T22:32:08.441Z" }, + { url = "https://files.pythonhosted.org/packages/9d/7e/d8f3b2efbd359138f81121d849c334b6df4bb91805a4e7380f175ea822cf/aiohttp-3.12.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c5beab804eeff85cfae5c053e0d3bb7a7cdc2756ced50a586c56deb8b8ce16b9", size = 460508, upload-time = "2025-05-24T22:32:10.476Z" }, + { url = "https://files.pythonhosted.org/packages/90/a2/019f0e33b5d3f201f400075841a31db7014a175d6e805fb13c26d8ff85e2/aiohttp-3.12.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bb157df65c18f4c84dd2a3b989975076d228866e6c4872220139c385bb0fea3b", size = 452808, upload-time = "2025-05-24T22:32:12.519Z" }, + { url = "https://files.pythonhosted.org/packages/01/29/54e623c3854326e54744996917919a033ce00313888aa5e5fe2348c8968c/aiohttp-3.12.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9dff812b540fd31e08678fb1caed2498c294e0f75262829259588992ca59372", size = 1691620, upload-time = "2025-05-24T22:32:14.635Z" }, + { url = "https://files.pythonhosted.org/packages/f7/db/eef9360855d3d2218bc38c0a94781324fbb7361b168bc6ccba29d703bb7c/aiohttp-3.12.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:f4f06d93c08670b8deb6e965578c804eecd85450319f403ed5695e7105ca4f38", size = 1672885, upload-time = "2025-05-24T22:32:16.884Z" }, + { url = "https://files.pythonhosted.org/packages/a1/c7/ff6153b07cd03358eb0faa7fb5ecc319ec2cdccd9789bf25d2a6c580b653/aiohttp-3.12.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bc77ef0cd57e669f4835ccced3e374c14a9890ef5b99427c5712d965b1a3dca3", size = 1724952, upload-time = "2025-05-24T22:32:19.119Z" }, + { url = "https://files.pythonhosted.org/packages/b0/38/b6e7ac5234f0eda7763737460793cb478f0270f73adcf2037f0913c9bf9c/aiohttp-3.12.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:16acea48107e36eb672530b155be727d701658c8e0132f5c38919431063df1aa", size = 1774327, upload-time = "2025-05-24T22:32:21.884Z" }, + { url = "https://files.pythonhosted.org/packages/29/ec/a51e3fffd7538e7cc6376b2693c5f15365a542d42045c9345f8571962c3a/aiohttp-3.12.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8314272c09dfb3424a3015222b950ca4a0845165fa43528f079a67dd0d98bd56", size = 1696655, upload-time = "2025-05-24T22:32:24.46Z" }, + { url = "https://files.pythonhosted.org/packages/cd/f8/701e3869d04c6d1b908fcbcb6f41013a3400750c289a494500ed68fe5f5d/aiohttp-3.12.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c9b51e1f1fe9ef73e3dc23908586d7ea3aa928da1b44a38f0cb0c3f60cfcfa76", size = 1610360, upload-time = "2025-05-24T22:32:27.204Z" }, + { url = "https://files.pythonhosted.org/packages/5e/bc/1e36156c126ff0f1cd9af55a2e3bdd71842e4c76006fd6f16adec92f7c50/aiohttp-3.12.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:471858b4cb972205fbc46b9485d8d532092df0189dd681869616bbbc7192ead3", size = 1663384, upload-time = "2025-05-24T22:32:29.383Z" }, + { url = "https://files.pythonhosted.org/packages/71/b2/e79603df4a9916ecca3ef6605d66bc8dc9d1cf94be12b5b948e19eba4a7b/aiohttp-3.12.0-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:47d30f5fc30bd9dfe8875374aa05f566719d82e9026839dd5c59f281fb94d302", size = 1695049, upload-time = "2025-05-24T22:32:31.655Z" }, + { url = "https://files.pythonhosted.org/packages/31/26/6c91957dc52eb47845b5f03901e1162b412c77ac3c0e082b10cf6be7b3ba/aiohttp-3.12.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:1c4ae2aced91b2e879f16d4f0225c7733e007367403a195c2f72d9c01dac4b68", size = 1637644, upload-time = "2025-05-24T22:32:34.419Z" }, + { url = "https://files.pythonhosted.org/packages/da/9e/ee4b95390cf73ff3875d74e7661378115f763ff445e2d7a0c02f1916db3e/aiohttp-3.12.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:c2d61673e3eec7f703419ae430417ac84305095220af11524f9496f7c0b81dc6", size = 1713775, upload-time = "2025-05-24T22:32:36.718Z" }, + { url = "https://files.pythonhosted.org/packages/dd/83/69b8a5a32e48210ce3830ee11044245e283c89adb8e797414145ab1d1a4a/aiohttp-3.12.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:a08d1c18b588ddfd049f4ac082b9935ee68a3796dc7ad70c8317605a8bd7e298", size = 1747247, upload-time = "2025-05-24T22:32:39.115Z" }, + { url = "https://files.pythonhosted.org/packages/54/df/4c23861c97384a18a03233629ba423b2cdee450a0fb76354095fdd30cfe5/aiohttp-3.12.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:33bb4ab2c7b86bf0ef19d426afcc3e60f08415b8e46b9cdb67b632c1d48931a3", size = 1696137, upload-time = "2025-05-24T22:32:41.392Z" }, + { url = "https://files.pythonhosted.org/packages/92/27/e19dfbcfdbe5f000b2959c4cb1a93c32e8632a36b29b7a01d59251e14b5b/aiohttp-3.12.0-cp313-cp313-win32.whl", hash = "sha256:199bfe20aebba88c94113def5c5f7eb8abeca55caf4dab8060fa25f573f062e5", size = 408567, upload-time = "2025-05-24T22:32:44.132Z" }, + { url = "https://files.pythonhosted.org/packages/30/88/70f19c1c1714d2b4920a4e675fd5b92ff5162b55d20d04b5ba188f0d623b/aiohttp-3.12.0-cp313-cp313-win_amd64.whl", hash = "sha256:9c24ce9ccfe2c24e391bdd72f3d5ff9c42ed1f8b15f813cb4b4c22e0d5930433", size = 434504, upload-time = "2025-05-24T22:32:46.274Z" }, +] + +[[package]] +name = "aiosignal" +version = "1.3.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "frozenlist" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ba/b5/6d55e80f6d8a08ce22b982eafa278d823b541c925f11ee774b0b9c43473d/aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54", size = 19424, upload-time = "2024-12-13T17:10:40.86Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ec/6a/bc7e17a3e87a2985d3e8f4da4cd0f481060eb78fb08596c42be62c90a4d9/aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5", size = 7597, upload-time = "2024-12-13T17:10:38.469Z" }, +] + +[[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 = "4.9.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, + { name = "idna" }, + { name = "sniffio" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/95/7d/4c1bd541d4dffa1b52bd83fb8527089e097a106fc90b467a7313b105f840/anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028", size = 190949, upload-time = "2025-03-17T00:02:54.77Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a1/ee/48ca1a7c89ffec8b6a0c5d02b89c305671d5ffd8d3c94acf8b8c408575bb/anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c", size = 100916, upload-time = "2025-03-17T00:02:52.713Z" }, +] + +[[package]] +name = "appnope" +version = "0.1.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/35/5d/752690df9ef5b76e169e68d6a129fa6d08a7100ca7f754c89495db3c6019/appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee", size = 4170, upload-time = "2024-02-06T09:43:11.258Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/81/29/5ecc3a15d5a33e31b26c11426c45c501e439cb865d0bff96315d86443b78/appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c", size = 4321, upload-time = "2024-02-06T09:43:09.663Z" }, +] + +[[package]] +name = "argon2-cffi" +version = "23.1.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "argon2-cffi-bindings" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/31/fa/57ec2c6d16ecd2ba0cf15f3c7d1c3c2e7b5fcb83555ff56d7ab10888ec8f/argon2_cffi-23.1.0.tar.gz", hash = "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08", size = 42798, upload-time = "2023-08-15T14:13:12.711Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a4/6a/e8a041599e78b6b3752da48000b14c8d1e8a04ded09c88c714ba047f34f5/argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea", size = 15124, upload-time = "2023-08-15T14:13:10.752Z" }, +] + +[[package]] +name = "argon2-cffi-bindings" +version = "21.2.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "cffi" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b9/e9/184b8ccce6683b0aa2fbb7ba5683ea4b9c5763f1356347f1312c32e3c66e/argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3", size = 1779911, upload-time = "2021-12-01T08:52:55.68Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d4/13/838ce2620025e9666aa8f686431f67a29052241692a3dd1ae9d3692a89d3/argon2_cffi_bindings-21.2.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367", size = 29658, upload-time = "2021-12-01T09:09:17.016Z" }, + { url = "https://files.pythonhosted.org/packages/b3/02/f7f7bb6b6af6031edb11037639c697b912e1dea2db94d436e681aea2f495/argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d", size = 80583, upload-time = "2021-12-01T09:09:19.546Z" }, + { url = "https://files.pythonhosted.org/packages/ec/f7/378254e6dd7ae6f31fe40c8649eea7d4832a42243acaf0f1fff9083b2bed/argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae", size = 86168, upload-time = "2021-12-01T09:09:21.445Z" }, + { url = "https://files.pythonhosted.org/packages/74/f6/4a34a37a98311ed73bb80efe422fed95f2ac25a4cacc5ae1d7ae6a144505/argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c", size = 82709, upload-time = "2021-12-01T09:09:18.182Z" }, + { url = "https://files.pythonhosted.org/packages/74/2b/73d767bfdaab25484f7e7901379d5f8793cccbb86c6e0cbc4c1b96f63896/argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86", size = 83613, upload-time = "2021-12-01T09:09:22.741Z" }, + { url = "https://files.pythonhosted.org/packages/4f/fd/37f86deef67ff57c76f137a67181949c2d408077e2e3dd70c6c42912c9bf/argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_i686.whl", hash = "sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f", size = 84583, upload-time = "2021-12-01T09:09:24.177Z" }, + { url = "https://files.pythonhosted.org/packages/6f/52/5a60085a3dae8fded8327a4f564223029f5f54b0cb0455a31131b5363a01/argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e", size = 88475, upload-time = "2021-12-01T09:09:26.673Z" }, + { url = "https://files.pythonhosted.org/packages/8b/95/143cd64feb24a15fa4b189a3e1e7efbaeeb00f39a51e99b26fc62fbacabd/argon2_cffi_bindings-21.2.0-cp36-abi3-win32.whl", hash = "sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082", size = 27698, upload-time = "2021-12-01T09:09:27.87Z" }, + { url = "https://files.pythonhosted.org/packages/37/2c/e34e47c7dee97ba6f01a6203e0383e15b60fb85d78ac9a15cd066f6fe28b/argon2_cffi_bindings-21.2.0-cp36-abi3-win_amd64.whl", hash = "sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f", size = 30817, upload-time = "2021-12-01T09:09:30.267Z" }, + { url = "https://files.pythonhosted.org/packages/5a/e4/bf8034d25edaa495da3c8a3405627d2e35758e44ff6eaa7948092646fdcc/argon2_cffi_bindings-21.2.0-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93", size = 53104, upload-time = "2021-12-01T09:09:31.335Z" }, +] + +[[package]] +name = "arrow" +version = "1.3.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "python-dateutil" }, + { name = "types-python-dateutil" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/2e/00/0f6e8fcdb23ea632c866620cc872729ff43ed91d284c866b515c6342b173/arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85", size = 131960, upload-time = "2023-09-30T22:11:18.25Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f8/ed/e97229a566617f2ae958a6b13e7cc0f585470eac730a73e9e82c32a3cdd2/arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80", size = 66419, upload-time = "2023-09-30T22:11:16.072Z" }, +] + +[[package]] +name = "asttokens" +version = "3.0.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/4a/e7/82da0a03e7ba5141f05cce0d302e6eed121ae055e0456ca228bf693984bc/asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7", size = 61978, upload-time = "2024-11-30T04:30:14.439Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/25/8a/c46dcc25341b5bce5472c718902eb3d38600a903b14fa6aeecef3f21a46f/asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2", size = 26918, upload-time = "2024-11-30T04:30:10.946Z" }, +] + +[[package]] +name = "async-lru" +version = "2.0.5" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b2/4d/71ec4d3939dc755264f680f6c2b4906423a304c3d18e96853f0a595dfe97/async_lru-2.0.5.tar.gz", hash = "sha256:481d52ccdd27275f42c43a928b4a50c3bfb2d67af4e78b170e3e0bb39c66e5bb", size = 10380, upload-time = "2025-03-16T17:25:36.919Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/03/49/d10027df9fce941cb8184e78a02857af36360d33e1721df81c5ed2179a1a/async_lru-2.0.5-py3-none-any.whl", hash = "sha256:ab95404d8d2605310d345932697371a5f40def0487c03d6d0ad9138de52c9943", size = 6069, upload-time = "2025-03-16T17:25:35.422Z" }, +] + +[[package]] +name = "async-timeout" +version = "5.0.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/a5/ae/136395dfbfe00dfc94da3f3e136d0b13f394cba8f4841120e34226265780/async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3", size = 9274, upload-time = "2024-11-06T16:41:39.6Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/fe/ba/e2081de779ca30d473f21f5b30e0e737c438205440784c7dfc81efc2b029/async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c", size = 6233, upload-time = "2024-11-06T16:41:37.9Z" }, +] + +[[package]] +name = "attrs" +version = "25.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/5a/b0/1367933a8532ee6ff8d63537de4f1177af4bff9f3e829baf7331f595bb24/attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b", size = 812032, upload-time = "2025-03-13T11:10:22.779Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/77/06/bb80f5f86020c4551da315d78b3ab75e8228f89f0162f2c3a819e407941a/attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3", size = 63815, upload-time = "2025-03-13T11:10:21.14Z" }, +] + +[[package]] +name = "babel" +version = "2.17.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/7d/6b/d52e42361e1aa00709585ecc30b3f9684b3ab62530771402248b1b1d6240/babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d", size = 9951852, upload-time = "2025-02-01T15:17:41.026Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b7/b8/3fe70c75fe32afc4bb507f75563d39bc5642255d1d94f1f23604725780bf/babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2", size = 10182537, upload-time = "2025-02-01T15:17:37.39Z" }, +] + +[[package]] +name = "beautifulsoup4" +version = "4.13.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "soupsieve" }, + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/d8/e4/0c4c39e18fd76d6a628d4dd8da40543d136ce2d1752bd6eeeab0791f4d6b/beautifulsoup4-4.13.4.tar.gz", hash = "sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195", size = 621067, upload-time = "2025-04-15T17:05:13.836Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/50/cd/30110dc0ffcf3b131156077b90e9f60ed75711223f306da4db08eff8403b/beautifulsoup4-4.13.4-py3-none-any.whl", hash = "sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b", size = 187285, upload-time = "2025-04-15T17:05:12.221Z" }, +] + +[[package]] +name = "bleach" +version = "6.2.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "webencodings" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/76/9a/0e33f5054c54d349ea62c277191c020c2d6ef1d65ab2cb1993f91ec846d1/bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f", size = 203083, upload-time = "2024-10-29T18:30:40.477Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/fc/55/96142937f66150805c25c4d0f31ee4132fd33497753400734f9dfdcbdc66/bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e", size = 163406, upload-time = "2024-10-29T18:30:38.186Z" }, +] + +[package.optional-dependencies] +css = [ + { name = "tinycss2" }, +] + +[[package]] +name = "blinker" +version = "1.9.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/21/28/9b3f50ce0e048515135495f198351908d99540d69bfdc8c1d15b73dc55ce/blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf", size = 22460, upload-time = "2024-11-08T17:25:47.436Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/10/cb/f2ad4230dc2eb1a74edf38f1a38b9b52277f75bef262d8908e60d957e13c/blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc", size = 8458, upload-time = "2024-11-08T17:25:46.184Z" }, +] + +[[package]] +name = "certifi" +version = "2025.4.26" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/e8/9e/c05b3920a3b7d20d3d3310465f50348e5b3694f4f88c6daf736eef3024c4/certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6", size = 160705, upload-time = "2025-04-26T02:12:29.51Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/4a/7e/3db2bd1b1f9e95f7cddca6d6e75e2f2bd9f51b1246e546d88addca0106bd/certifi-2025.4.26-py3-none-any.whl", hash = "sha256:30350364dfe371162649852c63336a15c70c6510c2ad5015b21c2345311805f3", size = 159618, upload-time = "2025-04-26T02:12:27.662Z" }, +] + +[[package]] +name = "cffi" +version = "1.17.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pycparser" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/fc/97/c783634659c2920c3fc70419e3af40972dbaf758daa229a7d6ea6135c90d/cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824", size = 516621, upload-time = "2024-09-04T20:45:21.852Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/90/07/f44ca684db4e4f08a3fdc6eeb9a0d15dc6883efc7b8c90357fdbf74e186c/cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14", size = 182191, upload-time = "2024-09-04T20:43:30.027Z" }, + { url = "https://files.pythonhosted.org/packages/08/fd/cc2fedbd887223f9f5d170c96e57cbf655df9831a6546c1727ae13fa977a/cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67", size = 178592, upload-time = "2024-09-04T20:43:32.108Z" }, + { url = "https://files.pythonhosted.org/packages/de/cc/4635c320081c78d6ffc2cab0a76025b691a91204f4aa317d568ff9280a2d/cffi-1.17.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:edae79245293e15384b51f88b00613ba9f7198016a5948b5dddf4917d4d26382", size = 426024, upload-time = "2024-09-04T20:43:34.186Z" }, + { url = "https://files.pythonhosted.org/packages/b6/7b/3b2b250f3aab91abe5f8a51ada1b717935fdaec53f790ad4100fe2ec64d1/cffi-1.17.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45398b671ac6d70e67da8e4224a065cec6a93541bb7aebe1b198a61b58c7b702", size = 448188, upload-time = "2024-09-04T20:43:36.286Z" }, + { url = "https://files.pythonhosted.org/packages/d3/48/1b9283ebbf0ec065148d8de05d647a986c5f22586b18120020452fff8f5d/cffi-1.17.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ad9413ccdeda48c5afdae7e4fa2192157e991ff761e7ab8fdd8926f40b160cc3", size = 455571, upload-time = "2024-09-04T20:43:38.586Z" }, + { url = "https://files.pythonhosted.org/packages/40/87/3b8452525437b40f39ca7ff70276679772ee7e8b394934ff60e63b7b090c/cffi-1.17.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5da5719280082ac6bd9aa7becb3938dc9f9cbd57fac7d2871717b1feb0902ab6", size = 436687, upload-time = "2024-09-04T20:43:40.084Z" }, + { url = "https://files.pythonhosted.org/packages/8d/fb/4da72871d177d63649ac449aec2e8a29efe0274035880c7af59101ca2232/cffi-1.17.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2bb1a08b8008b281856e5971307cc386a8e9c5b625ac297e853d36da6efe9c17", size = 446211, upload-time = "2024-09-04T20:43:41.526Z" }, + { url = "https://files.pythonhosted.org/packages/ab/a0/62f00bcb411332106c02b663b26f3545a9ef136f80d5df746c05878f8c4b/cffi-1.17.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:045d61c734659cc045141be4bae381a41d89b741f795af1dd018bfb532fd0df8", size = 461325, upload-time = "2024-09-04T20:43:43.117Z" }, + { url = "https://files.pythonhosted.org/packages/36/83/76127035ed2e7e27b0787604d99da630ac3123bfb02d8e80c633f218a11d/cffi-1.17.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:6883e737d7d9e4899a8a695e00ec36bd4e5e4f18fabe0aca0efe0a4b44cdb13e", size = 438784, upload-time = "2024-09-04T20:43:45.256Z" }, + { url = "https://files.pythonhosted.org/packages/21/81/a6cd025db2f08ac88b901b745c163d884641909641f9b826e8cb87645942/cffi-1.17.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:6b8b4a92e1c65048ff98cfe1f735ef8f1ceb72e3d5f0c25fdb12087a23da22be", size = 461564, upload-time = "2024-09-04T20:43:46.779Z" }, + { url = "https://files.pythonhosted.org/packages/f8/fe/4d41c2f200c4a457933dbd98d3cf4e911870877bd94d9656cc0fcb390681/cffi-1.17.1-cp310-cp310-win32.whl", hash = "sha256:c9c3d058ebabb74db66e431095118094d06abf53284d9c81f27300d0e0d8bc7c", size = 171804, upload-time = "2024-09-04T20:43:48.186Z" }, + { url = "https://files.pythonhosted.org/packages/d1/b6/0b0f5ab93b0df4acc49cae758c81fe4e5ef26c3ae2e10cc69249dfd8b3ab/cffi-1.17.1-cp310-cp310-win_amd64.whl", hash = "sha256:0f048dcf80db46f0098ccac01132761580d28e28bc0f78ae0d58048063317e15", size = 181299, upload-time = "2024-09-04T20:43:49.812Z" }, + { url = "https://files.pythonhosted.org/packages/6b/f4/927e3a8899e52a27fa57a48607ff7dc91a9ebe97399b357b85a0c7892e00/cffi-1.17.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a45e3c6913c5b87b3ff120dcdc03f6131fa0065027d0ed7ee6190736a74cd401", size = 182264, upload-time = "2024-09-04T20:43:51.124Z" }, + { url = "https://files.pythonhosted.org/packages/6c/f5/6c3a8efe5f503175aaddcbea6ad0d2c96dad6f5abb205750d1b3df44ef29/cffi-1.17.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:30c5e0cb5ae493c04c8b42916e52ca38079f1b235c2f8ae5f4527b963c401caf", size = 178651, upload-time = "2024-09-04T20:43:52.872Z" }, + { url = "https://files.pythonhosted.org/packages/94/dd/a3f0118e688d1b1a57553da23b16bdade96d2f9bcda4d32e7d2838047ff7/cffi-1.17.1-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f75c7ab1f9e4aca5414ed4d8e5c0e303a34f4421f8a0d47a4d019ceff0ab6af4", size = 445259, upload-time = "2024-09-04T20:43:56.123Z" }, + { url = "https://files.pythonhosted.org/packages/2e/ea/70ce63780f096e16ce8588efe039d3c4f91deb1dc01e9c73a287939c79a6/cffi-1.17.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a1ed2dd2972641495a3ec98445e09766f077aee98a1c896dcb4ad0d303628e41", size = 469200, upload-time = "2024-09-04T20:43:57.891Z" }, + { url = "https://files.pythonhosted.org/packages/1c/a0/a4fa9f4f781bda074c3ddd57a572b060fa0df7655d2a4247bbe277200146/cffi-1.17.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:46bf43160c1a35f7ec506d254e5c890f3c03648a4dbac12d624e4490a7046cd1", size = 477235, upload-time = "2024-09-04T20:44:00.18Z" }, + { url = "https://files.pythonhosted.org/packages/62/12/ce8710b5b8affbcdd5c6e367217c242524ad17a02fe5beec3ee339f69f85/cffi-1.17.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a24ed04c8ffd54b0729c07cee15a81d964e6fee0e3d4d342a27b020d22959dc6", size = 459721, upload-time = "2024-09-04T20:44:01.585Z" }, + { url = "https://files.pythonhosted.org/packages/ff/6b/d45873c5e0242196f042d555526f92aa9e0c32355a1be1ff8c27f077fd37/cffi-1.17.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:610faea79c43e44c71e1ec53a554553fa22321b65fae24889706c0a84d4ad86d", size = 467242, upload-time = "2024-09-04T20:44:03.467Z" }, + { url = "https://files.pythonhosted.org/packages/1a/52/d9a0e523a572fbccf2955f5abe883cfa8bcc570d7faeee06336fbd50c9fc/cffi-1.17.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:a9b15d491f3ad5d692e11f6b71f7857e7835eb677955c00cc0aefcd0669adaf6", size = 477999, upload-time = "2024-09-04T20:44:05.023Z" }, + { url = "https://files.pythonhosted.org/packages/44/74/f2a2460684a1a2d00ca799ad880d54652841a780c4c97b87754f660c7603/cffi-1.17.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:de2ea4b5833625383e464549fec1bc395c1bdeeb5f25c4a3a82b5a8c756ec22f", size = 454242, upload-time = "2024-09-04T20:44:06.444Z" }, + { url = "https://files.pythonhosted.org/packages/f8/4a/34599cac7dfcd888ff54e801afe06a19c17787dfd94495ab0c8d35fe99fb/cffi-1.17.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:fc48c783f9c87e60831201f2cce7f3b2e4846bf4d8728eabe54d60700b318a0b", size = 478604, upload-time = "2024-09-04T20:44:08.206Z" }, + { url = "https://files.pythonhosted.org/packages/34/33/e1b8a1ba29025adbdcda5fb3a36f94c03d771c1b7b12f726ff7fef2ebe36/cffi-1.17.1-cp311-cp311-win32.whl", hash = "sha256:85a950a4ac9c359340d5963966e3e0a94a676bd6245a4b55bc43949eee26a655", size = 171727, upload-time = "2024-09-04T20:44:09.481Z" }, + { url = "https://files.pythonhosted.org/packages/3d/97/50228be003bb2802627d28ec0627837ac0bf35c90cf769812056f235b2d1/cffi-1.17.1-cp311-cp311-win_amd64.whl", hash = "sha256:caaf0640ef5f5517f49bc275eca1406b0ffa6aa184892812030f04c2abf589a0", size = 181400, upload-time = "2024-09-04T20:44:10.873Z" }, + { url = "https://files.pythonhosted.org/packages/5a/84/e94227139ee5fb4d600a7a4927f322e1d4aea6fdc50bd3fca8493caba23f/cffi-1.17.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:805b4371bf7197c329fcb3ead37e710d1bca9da5d583f5073b799d5c5bd1eee4", size = 183178, upload-time = "2024-09-04T20:44:12.232Z" }, + { url = "https://files.pythonhosted.org/packages/da/ee/fb72c2b48656111c4ef27f0f91da355e130a923473bf5ee75c5643d00cca/cffi-1.17.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:733e99bc2df47476e3848417c5a4540522f234dfd4ef3ab7fafdf555b082ec0c", size = 178840, upload-time = "2024-09-04T20:44:13.739Z" }, + { url = "https://files.pythonhosted.org/packages/cc/b6/db007700f67d151abadf508cbfd6a1884f57eab90b1bb985c4c8c02b0f28/cffi-1.17.1-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1257bdabf294dceb59f5e70c64a3e2f462c30c7ad68092d01bbbfb1c16b1ba36", size = 454803, upload-time = "2024-09-04T20:44:15.231Z" }, + { url = "https://files.pythonhosted.org/packages/1a/df/f8d151540d8c200eb1c6fba8cd0dfd40904f1b0682ea705c36e6c2e97ab3/cffi-1.17.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da95af8214998d77a98cc14e3a3bd00aa191526343078b530ceb0bd710fb48a5", size = 478850, upload-time = "2024-09-04T20:44:17.188Z" }, + { url = "https://files.pythonhosted.org/packages/28/c0/b31116332a547fd2677ae5b78a2ef662dfc8023d67f41b2a83f7c2aa78b1/cffi-1.17.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d63afe322132c194cf832bfec0dc69a99fb9bb6bbd550f161a49e9e855cc78ff", size = 485729, upload-time = "2024-09-04T20:44:18.688Z" }, + { url = "https://files.pythonhosted.org/packages/91/2b/9a1ddfa5c7f13cab007a2c9cc295b70fbbda7cb10a286aa6810338e60ea1/cffi-1.17.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f79fc4fc25f1c8698ff97788206bb3c2598949bfe0fef03d299eb1b5356ada99", size = 471256, upload-time = "2024-09-04T20:44:20.248Z" }, + { url = "https://files.pythonhosted.org/packages/b2/d5/da47df7004cb17e4955df6a43d14b3b4ae77737dff8bf7f8f333196717bf/cffi-1.17.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b62ce867176a75d03a665bad002af8e6d54644fad99a3c70905c543130e39d93", size = 479424, upload-time = "2024-09-04T20:44:21.673Z" }, + { url = "https://files.pythonhosted.org/packages/0b/ac/2a28bcf513e93a219c8a4e8e125534f4f6db03e3179ba1c45e949b76212c/cffi-1.17.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:386c8bf53c502fff58903061338ce4f4950cbdcb23e2902d86c0f722b786bbe3", size = 484568, upload-time = "2024-09-04T20:44:23.245Z" }, + { url = "https://files.pythonhosted.org/packages/d4/38/ca8a4f639065f14ae0f1d9751e70447a261f1a30fa7547a828ae08142465/cffi-1.17.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4ceb10419a9adf4460ea14cfd6bc43d08701f0835e979bf821052f1805850fe8", size = 488736, upload-time = "2024-09-04T20:44:24.757Z" }, + { url = "https://files.pythonhosted.org/packages/86/c5/28b2d6f799ec0bdecf44dced2ec5ed43e0eb63097b0f58c293583b406582/cffi-1.17.1-cp312-cp312-win32.whl", hash = "sha256:a08d7e755f8ed21095a310a693525137cfe756ce62d066e53f502a83dc550f65", size = 172448, upload-time = "2024-09-04T20:44:26.208Z" }, + { url = "https://files.pythonhosted.org/packages/50/b9/db34c4755a7bd1cb2d1603ac3863f22bcecbd1ba29e5ee841a4bc510b294/cffi-1.17.1-cp312-cp312-win_amd64.whl", hash = "sha256:51392eae71afec0d0c8fb1a53b204dbb3bcabcb3c9b807eedf3e1e6ccf2de903", size = 181976, upload-time = "2024-09-04T20:44:27.578Z" }, + { url = "https://files.pythonhosted.org/packages/8d/f8/dd6c246b148639254dad4d6803eb6a54e8c85c6e11ec9df2cffa87571dbe/cffi-1.17.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f3a2b4222ce6b60e2e8b337bb9596923045681d71e5a082783484d845390938e", size = 182989, upload-time = "2024-09-04T20:44:28.956Z" }, + { url = "https://files.pythonhosted.org/packages/8b/f1/672d303ddf17c24fc83afd712316fda78dc6fce1cd53011b839483e1ecc8/cffi-1.17.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:0984a4925a435b1da406122d4d7968dd861c1385afe3b45ba82b750f229811e2", size = 178802, upload-time = "2024-09-04T20:44:30.289Z" }, + { url = "https://files.pythonhosted.org/packages/0e/2d/eab2e858a91fdff70533cab61dcff4a1f55ec60425832ddfdc9cd36bc8af/cffi-1.17.1-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d01b12eeeb4427d3110de311e1774046ad344f5b1a7403101878976ecd7a10f3", size = 454792, upload-time = "2024-09-04T20:44:32.01Z" }, + { url = "https://files.pythonhosted.org/packages/75/b2/fbaec7c4455c604e29388d55599b99ebcc250a60050610fadde58932b7ee/cffi-1.17.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:706510fe141c86a69c8ddc029c7910003a17353970cff3b904ff0686a5927683", size = 478893, upload-time = "2024-09-04T20:44:33.606Z" }, + { url = "https://files.pythonhosted.org/packages/4f/b7/6e4a2162178bf1935c336d4da8a9352cccab4d3a5d7914065490f08c0690/cffi-1.17.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de55b766c7aa2e2a3092c51e0483d700341182f08e67c63630d5b6f200bb28e5", size = 485810, upload-time = "2024-09-04T20:44:35.191Z" }, + { url = "https://files.pythonhosted.org/packages/c7/8a/1d0e4a9c26e54746dc08c2c6c037889124d4f59dffd853a659fa545f1b40/cffi-1.17.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c59d6e989d07460165cc5ad3c61f9fd8f1b4796eacbd81cee78957842b834af4", size = 471200, upload-time = "2024-09-04T20:44:36.743Z" }, + { url = "https://files.pythonhosted.org/packages/26/9f/1aab65a6c0db35f43c4d1b4f580e8df53914310afc10ae0397d29d697af4/cffi-1.17.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd398dbc6773384a17fe0d3e7eeb8d1a21c2200473ee6806bb5e6a8e62bb73dd", size = 479447, upload-time = "2024-09-04T20:44:38.492Z" }, + { url = "https://files.pythonhosted.org/packages/5f/e4/fb8b3dd8dc0e98edf1135ff067ae070bb32ef9d509d6cb0f538cd6f7483f/cffi-1.17.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:3edc8d958eb099c634dace3c7e16560ae474aa3803a5df240542b305d14e14ed", size = 484358, upload-time = "2024-09-04T20:44:40.046Z" }, + { url = "https://files.pythonhosted.org/packages/f1/47/d7145bf2dc04684935d57d67dff9d6d795b2ba2796806bb109864be3a151/cffi-1.17.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:72e72408cad3d5419375fc87d289076ee319835bdfa2caad331e377589aebba9", size = 488469, upload-time = "2024-09-04T20:44:41.616Z" }, + { url = "https://files.pythonhosted.org/packages/bf/ee/f94057fa6426481d663b88637a9a10e859e492c73d0384514a17d78ee205/cffi-1.17.1-cp313-cp313-win32.whl", hash = "sha256:e03eab0a8677fa80d646b5ddece1cbeaf556c313dcfac435ba11f107ba117b5d", size = 172475, upload-time = "2024-09-04T20:44:43.733Z" }, + { url = "https://files.pythonhosted.org/packages/7c/fc/6a8cb64e5f0324877d503c854da15d76c1e50eb722e320b15345c4d0c6de/cffi-1.17.1-cp313-cp313-win_amd64.whl", hash = "sha256:f6a16c31041f09ead72d69f583767292f750d24913dadacf5756b966aacb3f1a", size = 182009, upload-time = "2024-09-04T20:44:45.309Z" }, +] + +[[package]] +name = "cfgv" +version = "3.4.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/11/74/539e56497d9bd1d484fd863dd69cbbfa653cd2aa27abfe35653494d85e94/cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560", size = 7114, upload-time = "2023-08-12T20:38:17.776Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c5/55/51844dd50c4fc7a33b653bfaba4c2456f06955289ca770a5dbd5fd267374/cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9", size = 7249, upload-time = "2023-08-12T20:38:16.269Z" }, +] + +[[package]] +name = "charset-normalizer" +version = "3.4.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/e4/33/89c2ced2b67d1c2a61c19c6751aa8902d46ce3dacb23600a283619f5a12d/charset_normalizer-3.4.2.tar.gz", hash = "sha256:5baececa9ecba31eff645232d59845c07aa030f0c81ee70184a90d35099a0e63", size = 126367, upload-time = "2025-05-02T08:34:42.01Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/95/28/9901804da60055b406e1a1c5ba7aac1276fb77f1dde635aabfc7fd84b8ab/charset_normalizer-3.4.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7c48ed483eb946e6c04ccbe02c6b4d1d48e51944b6db70f697e089c193404941", size = 201818, upload-time = "2025-05-02T08:31:46.725Z" }, + { url = "https://files.pythonhosted.org/packages/d9/9b/892a8c8af9110935e5adcbb06d9c6fe741b6bb02608c6513983048ba1a18/charset_normalizer-3.4.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b2d318c11350e10662026ad0eb71bb51c7812fc8590825304ae0bdd4ac283acd", size = 144649, upload-time = "2025-05-02T08:31:48.889Z" }, + { url = "https://files.pythonhosted.org/packages/7b/a5/4179abd063ff6414223575e008593861d62abfc22455b5d1a44995b7c101/charset_normalizer-3.4.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9cbfacf36cb0ec2897ce0ebc5d08ca44213af24265bd56eca54bee7923c48fd6", size = 155045, upload-time = "2025-05-02T08:31:50.757Z" }, + { url = "https://files.pythonhosted.org/packages/3b/95/bc08c7dfeddd26b4be8c8287b9bb055716f31077c8b0ea1cd09553794665/charset_normalizer-3.4.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18dd2e350387c87dabe711b86f83c9c78af772c748904d372ade190b5c7c9d4d", size = 147356, upload-time = "2025-05-02T08:31:52.634Z" }, + { url = "https://files.pythonhosted.org/packages/a8/2d/7a5b635aa65284bf3eab7653e8b4151ab420ecbae918d3e359d1947b4d61/charset_normalizer-3.4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8075c35cd58273fee266c58c0c9b670947c19df5fb98e7b66710e04ad4e9ff86", size = 149471, upload-time = "2025-05-02T08:31:56.207Z" }, + { url = "https://files.pythonhosted.org/packages/ae/38/51fc6ac74251fd331a8cfdb7ec57beba8c23fd5493f1050f71c87ef77ed0/charset_normalizer-3.4.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5bf4545e3b962767e5c06fe1738f951f77d27967cb2caa64c28be7c4563e162c", size = 151317, upload-time = "2025-05-02T08:31:57.613Z" }, + { url = "https://files.pythonhosted.org/packages/b7/17/edee1e32215ee6e9e46c3e482645b46575a44a2d72c7dfd49e49f60ce6bf/charset_normalizer-3.4.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:7a6ab32f7210554a96cd9e33abe3ddd86732beeafc7a28e9955cdf22ffadbab0", size = 146368, upload-time = "2025-05-02T08:31:59.468Z" }, + { url = "https://files.pythonhosted.org/packages/26/2c/ea3e66f2b5f21fd00b2825c94cafb8c326ea6240cd80a91eb09e4a285830/charset_normalizer-3.4.2-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:b33de11b92e9f75a2b545d6e9b6f37e398d86c3e9e9653c4864eb7e89c5773ef", size = 154491, upload-time = "2025-05-02T08:32:01.219Z" }, + { url = "https://files.pythonhosted.org/packages/52/47/7be7fa972422ad062e909fd62460d45c3ef4c141805b7078dbab15904ff7/charset_normalizer-3.4.2-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:8755483f3c00d6c9a77f490c17e6ab0c8729e39e6390328e42521ef175380ae6", size = 157695, upload-time = "2025-05-02T08:32:03.045Z" }, + { url = "https://files.pythonhosted.org/packages/2f/42/9f02c194da282b2b340f28e5fb60762de1151387a36842a92b533685c61e/charset_normalizer-3.4.2-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:68a328e5f55ec37c57f19ebb1fdc56a248db2e3e9ad769919a58672958e8f366", size = 154849, upload-time = "2025-05-02T08:32:04.651Z" }, + { url = "https://files.pythonhosted.org/packages/67/44/89cacd6628f31fb0b63201a618049be4be2a7435a31b55b5eb1c3674547a/charset_normalizer-3.4.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:21b2899062867b0e1fde9b724f8aecb1af14f2778d69aacd1a5a1853a597a5db", size = 150091, upload-time = "2025-05-02T08:32:06.719Z" }, + { url = "https://files.pythonhosted.org/packages/1f/79/4b8da9f712bc079c0f16b6d67b099b0b8d808c2292c937f267d816ec5ecc/charset_normalizer-3.4.2-cp310-cp310-win32.whl", hash = "sha256:e8082b26888e2f8b36a042a58307d5b917ef2b1cacab921ad3323ef91901c71a", size = 98445, upload-time = "2025-05-02T08:32:08.66Z" }, + { url = "https://files.pythonhosted.org/packages/7d/d7/96970afb4fb66497a40761cdf7bd4f6fca0fc7bafde3a84f836c1f57a926/charset_normalizer-3.4.2-cp310-cp310-win_amd64.whl", hash = "sha256:f69a27e45c43520f5487f27627059b64aaf160415589230992cec34c5e18a509", size = 105782, upload-time = "2025-05-02T08:32:10.46Z" }, + { url = "https://files.pythonhosted.org/packages/05/85/4c40d00dcc6284a1c1ad5de5e0996b06f39d8232f1031cd23c2f5c07ee86/charset_normalizer-3.4.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:be1e352acbe3c78727a16a455126d9ff83ea2dfdcbc83148d2982305a04714c2", size = 198794, upload-time = "2025-05-02T08:32:11.945Z" }, + { url = "https://files.pythonhosted.org/packages/41/d9/7a6c0b9db952598e97e93cbdfcb91bacd89b9b88c7c983250a77c008703c/charset_normalizer-3.4.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aa88ca0b1932e93f2d961bf3addbb2db902198dca337d88c89e1559e066e7645", size = 142846, upload-time = "2025-05-02T08:32:13.946Z" }, + { url = "https://files.pythonhosted.org/packages/66/82/a37989cda2ace7e37f36c1a8ed16c58cf48965a79c2142713244bf945c89/charset_normalizer-3.4.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d524ba3f1581b35c03cb42beebab4a13e6cdad7b36246bd22541fa585a56cccd", size = 153350, upload-time = "2025-05-02T08:32:15.873Z" }, + { url = "https://files.pythonhosted.org/packages/df/68/a576b31b694d07b53807269d05ec3f6f1093e9545e8607121995ba7a8313/charset_normalizer-3.4.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28a1005facc94196e1fb3e82a3d442a9d9110b8434fc1ded7a24a2983c9888d8", size = 145657, upload-time = "2025-05-02T08:32:17.283Z" }, + { url = "https://files.pythonhosted.org/packages/92/9b/ad67f03d74554bed3aefd56fe836e1623a50780f7c998d00ca128924a499/charset_normalizer-3.4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fdb20a30fe1175ecabed17cbf7812f7b804b8a315a25f24678bcdf120a90077f", size = 147260, upload-time = "2025-05-02T08:32:18.807Z" }, + { url = "https://files.pythonhosted.org/packages/a6/e6/8aebae25e328160b20e31a7e9929b1578bbdc7f42e66f46595a432f8539e/charset_normalizer-3.4.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0f5d9ed7f254402c9e7d35d2f5972c9bbea9040e99cd2861bd77dc68263277c7", size = 149164, upload-time = "2025-05-02T08:32:20.333Z" }, + { url = "https://files.pythonhosted.org/packages/8b/f2/b3c2f07dbcc248805f10e67a0262c93308cfa149a4cd3d1fe01f593e5fd2/charset_normalizer-3.4.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:efd387a49825780ff861998cd959767800d54f8308936b21025326de4b5a42b9", size = 144571, upload-time = "2025-05-02T08:32:21.86Z" }, + { url = "https://files.pythonhosted.org/packages/60/5b/c3f3a94bc345bc211622ea59b4bed9ae63c00920e2e8f11824aa5708e8b7/charset_normalizer-3.4.2-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:f0aa37f3c979cf2546b73e8222bbfa3dc07a641585340179d768068e3455e544", size = 151952, upload-time = "2025-05-02T08:32:23.434Z" }, + { url = "https://files.pythonhosted.org/packages/e2/4d/ff460c8b474122334c2fa394a3f99a04cf11c646da895f81402ae54f5c42/charset_normalizer-3.4.2-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:e70e990b2137b29dc5564715de1e12701815dacc1d056308e2b17e9095372a82", size = 155959, upload-time = "2025-05-02T08:32:24.993Z" }, + { url = "https://files.pythonhosted.org/packages/a2/2b/b964c6a2fda88611a1fe3d4c400d39c66a42d6c169c924818c848f922415/charset_normalizer-3.4.2-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:0c8c57f84ccfc871a48a47321cfa49ae1df56cd1d965a09abe84066f6853b9c0", size = 153030, upload-time = "2025-05-02T08:32:26.435Z" }, + { url = "https://files.pythonhosted.org/packages/59/2e/d3b9811db26a5ebf444bc0fa4f4be5aa6d76fc6e1c0fd537b16c14e849b6/charset_normalizer-3.4.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:6b66f92b17849b85cad91259efc341dce9c1af48e2173bf38a85c6329f1033e5", size = 148015, upload-time = "2025-05-02T08:32:28.376Z" }, + { url = "https://files.pythonhosted.org/packages/90/07/c5fd7c11eafd561bb51220d600a788f1c8d77c5eef37ee49454cc5c35575/charset_normalizer-3.4.2-cp311-cp311-win32.whl", hash = "sha256:daac4765328a919a805fa5e2720f3e94767abd632ae410a9062dff5412bae65a", size = 98106, upload-time = "2025-05-02T08:32:30.281Z" }, + { url = "https://files.pythonhosted.org/packages/a8/05/5e33dbef7e2f773d672b6d79f10ec633d4a71cd96db6673625838a4fd532/charset_normalizer-3.4.2-cp311-cp311-win_amd64.whl", hash = "sha256:e53efc7c7cee4c1e70661e2e112ca46a575f90ed9ae3fef200f2a25e954f4b28", size = 105402, upload-time = "2025-05-02T08:32:32.191Z" }, + { url = "https://files.pythonhosted.org/packages/d7/a4/37f4d6035c89cac7930395a35cc0f1b872e652eaafb76a6075943754f095/charset_normalizer-3.4.2-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0c29de6a1a95f24b9a1aa7aefd27d2487263f00dfd55a77719b530788f75cff7", size = 199936, upload-time = "2025-05-02T08:32:33.712Z" }, + { url = "https://files.pythonhosted.org/packages/ee/8a/1a5e33b73e0d9287274f899d967907cd0bf9c343e651755d9307e0dbf2b3/charset_normalizer-3.4.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cddf7bd982eaa998934a91f69d182aec997c6c468898efe6679af88283b498d3", size = 143790, upload-time = "2025-05-02T08:32:35.768Z" }, + { url = "https://files.pythonhosted.org/packages/66/52/59521f1d8e6ab1482164fa21409c5ef44da3e9f653c13ba71becdd98dec3/charset_normalizer-3.4.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fcbe676a55d7445b22c10967bceaaf0ee69407fbe0ece4d032b6eb8d4565982a", size = 153924, upload-time = "2025-05-02T08:32:37.284Z" }, + { url = "https://files.pythonhosted.org/packages/86/2d/fb55fdf41964ec782febbf33cb64be480a6b8f16ded2dbe8db27a405c09f/charset_normalizer-3.4.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d41c4d287cfc69060fa91cae9683eacffad989f1a10811995fa309df656ec214", size = 146626, upload-time = "2025-05-02T08:32:38.803Z" }, + { url = "https://files.pythonhosted.org/packages/8c/73/6ede2ec59bce19b3edf4209d70004253ec5f4e319f9a2e3f2f15601ed5f7/charset_normalizer-3.4.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e594135de17ab3866138f496755f302b72157d115086d100c3f19370839dd3a", size = 148567, upload-time = "2025-05-02T08:32:40.251Z" }, + { url = "https://files.pythonhosted.org/packages/09/14/957d03c6dc343c04904530b6bef4e5efae5ec7d7990a7cbb868e4595ee30/charset_normalizer-3.4.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cf713fe9a71ef6fd5adf7a79670135081cd4431c2943864757f0fa3a65b1fafd", size = 150957, upload-time = "2025-05-02T08:32:41.705Z" }, + { url = "https://files.pythonhosted.org/packages/0d/c8/8174d0e5c10ccebdcb1b53cc959591c4c722a3ad92461a273e86b9f5a302/charset_normalizer-3.4.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a370b3e078e418187da8c3674eddb9d983ec09445c99a3a263c2011993522981", size = 145408, upload-time = "2025-05-02T08:32:43.709Z" }, + { url = "https://files.pythonhosted.org/packages/58/aa/8904b84bc8084ac19dc52feb4f5952c6df03ffb460a887b42615ee1382e8/charset_normalizer-3.4.2-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:a955b438e62efdf7e0b7b52a64dc5c3396e2634baa62471768a64bc2adb73d5c", size = 153399, upload-time = "2025-05-02T08:32:46.197Z" }, + { url = "https://files.pythonhosted.org/packages/c2/26/89ee1f0e264d201cb65cf054aca6038c03b1a0c6b4ae998070392a3ce605/charset_normalizer-3.4.2-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:7222ffd5e4de8e57e03ce2cef95a4c43c98fcb72ad86909abdfc2c17d227fc1b", size = 156815, upload-time = "2025-05-02T08:32:48.105Z" }, + { url = "https://files.pythonhosted.org/packages/fd/07/68e95b4b345bad3dbbd3a8681737b4338ff2c9df29856a6d6d23ac4c73cb/charset_normalizer-3.4.2-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:bee093bf902e1d8fc0ac143c88902c3dfc8941f7ea1d6a8dd2bcb786d33db03d", size = 154537, upload-time = "2025-05-02T08:32:49.719Z" }, + { url = "https://files.pythonhosted.org/packages/77/1a/5eefc0ce04affb98af07bc05f3bac9094513c0e23b0562d64af46a06aae4/charset_normalizer-3.4.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:dedb8adb91d11846ee08bec4c8236c8549ac721c245678282dcb06b221aab59f", size = 149565, upload-time = "2025-05-02T08:32:51.404Z" }, + { url = "https://files.pythonhosted.org/packages/37/a0/2410e5e6032a174c95e0806b1a6585eb21e12f445ebe239fac441995226a/charset_normalizer-3.4.2-cp312-cp312-win32.whl", hash = "sha256:db4c7bf0e07fc3b7d89ac2a5880a6a8062056801b83ff56d8464b70f65482b6c", size = 98357, upload-time = "2025-05-02T08:32:53.079Z" }, + { url = "https://files.pythonhosted.org/packages/6c/4f/c02d5c493967af3eda9c771ad4d2bbc8df6f99ddbeb37ceea6e8716a32bc/charset_normalizer-3.4.2-cp312-cp312-win_amd64.whl", hash = "sha256:5a9979887252a82fefd3d3ed2a8e3b937a7a809f65dcb1e068b090e165bbe99e", size = 105776, upload-time = "2025-05-02T08:32:54.573Z" }, + { url = "https://files.pythonhosted.org/packages/ea/12/a93df3366ed32db1d907d7593a94f1fe6293903e3e92967bebd6950ed12c/charset_normalizer-3.4.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:926ca93accd5d36ccdabd803392ddc3e03e6d4cd1cf17deff3b989ab8e9dbcf0", size = 199622, upload-time = "2025-05-02T08:32:56.363Z" }, + { url = "https://files.pythonhosted.org/packages/04/93/bf204e6f344c39d9937d3c13c8cd5bbfc266472e51fc8c07cb7f64fcd2de/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eba9904b0f38a143592d9fc0e19e2df0fa2e41c3c3745554761c5f6447eedabf", size = 143435, upload-time = "2025-05-02T08:32:58.551Z" }, + { url = "https://files.pythonhosted.org/packages/22/2a/ea8a2095b0bafa6c5b5a55ffdc2f924455233ee7b91c69b7edfcc9e02284/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3fddb7e2c84ac87ac3a947cb4e66d143ca5863ef48e4a5ecb83bd48619e4634e", size = 153653, upload-time = "2025-05-02T08:33:00.342Z" }, + { url = "https://files.pythonhosted.org/packages/b6/57/1b090ff183d13cef485dfbe272e2fe57622a76694061353c59da52c9a659/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:98f862da73774290f251b9df8d11161b6cf25b599a66baf087c1ffe340e9bfd1", size = 146231, upload-time = "2025-05-02T08:33:02.081Z" }, + { url = "https://files.pythonhosted.org/packages/e2/28/ffc026b26f441fc67bd21ab7f03b313ab3fe46714a14b516f931abe1a2d8/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c9379d65defcab82d07b2a9dfbfc2e95bc8fe0ebb1b176a3190230a3ef0e07c", size = 148243, upload-time = "2025-05-02T08:33:04.063Z" }, + { url = "https://files.pythonhosted.org/packages/c0/0f/9abe9bd191629c33e69e47c6ef45ef99773320e9ad8e9cb08b8ab4a8d4cb/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e635b87f01ebc977342e2697d05b56632f5f879a4f15955dfe8cef2448b51691", size = 150442, upload-time = "2025-05-02T08:33:06.418Z" }, + { url = "https://files.pythonhosted.org/packages/67/7c/a123bbcedca91d5916c056407f89a7f5e8fdfce12ba825d7d6b9954a1a3c/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:1c95a1e2902a8b722868587c0e1184ad5c55631de5afc0eb96bc4b0d738092c0", size = 145147, upload-time = "2025-05-02T08:33:08.183Z" }, + { url = "https://files.pythonhosted.org/packages/ec/fe/1ac556fa4899d967b83e9893788e86b6af4d83e4726511eaaad035e36595/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ef8de666d6179b009dce7bcb2ad4c4a779f113f12caf8dc77f0162c29d20490b", size = 153057, upload-time = "2025-05-02T08:33:09.986Z" }, + { url = "https://files.pythonhosted.org/packages/2b/ff/acfc0b0a70b19e3e54febdd5301a98b72fa07635e56f24f60502e954c461/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:32fc0341d72e0f73f80acb0a2c94216bd704f4f0bce10aedea38f30502b271ff", size = 156454, upload-time = "2025-05-02T08:33:11.814Z" }, + { url = "https://files.pythonhosted.org/packages/92/08/95b458ce9c740d0645feb0e96cea1f5ec946ea9c580a94adfe0b617f3573/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:289200a18fa698949d2b39c671c2cc7a24d44096784e76614899a7ccf2574b7b", size = 154174, upload-time = "2025-05-02T08:33:13.707Z" }, + { url = "https://files.pythonhosted.org/packages/78/be/8392efc43487ac051eee6c36d5fbd63032d78f7728cb37aebcc98191f1ff/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4a476b06fbcf359ad25d34a057b7219281286ae2477cc5ff5e3f70a246971148", size = 149166, upload-time = "2025-05-02T08:33:15.458Z" }, + { url = "https://files.pythonhosted.org/packages/44/96/392abd49b094d30b91d9fbda6a69519e95802250b777841cf3bda8fe136c/charset_normalizer-3.4.2-cp313-cp313-win32.whl", hash = "sha256:aaeeb6a479c7667fbe1099af9617c83aaca22182d6cf8c53966491a0f1b7ffb7", size = 98064, upload-time = "2025-05-02T08:33:17.06Z" }, + { url = "https://files.pythonhosted.org/packages/e9/b0/0200da600134e001d91851ddc797809e2fe0ea72de90e09bec5a2fbdaccb/charset_normalizer-3.4.2-cp313-cp313-win_amd64.whl", hash = "sha256:aa6af9e7d59f9c12b33ae4e9450619cf2488e2bbe9b44030905877f0b2324980", size = 105641, upload-time = "2025-05-02T08:33:18.753Z" }, + { url = "https://files.pythonhosted.org/packages/20/94/c5790835a017658cbfabd07f3bfb549140c3ac458cfc196323996b10095a/charset_normalizer-3.4.2-py3-none-any.whl", hash = "sha256:7f56930ab0abd1c45cd15be65cc741c28b1c9a34876ce8c17a2fa107810c0af0", size = 52626, upload-time = "2025-05-02T08:34:40.053Z" }, +] + +[[package]] +name = "click" +version = "8.2.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "colorama", marker = "sys_platform == 'win32'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/60/6c/8ca2efa64cf75a977a0d7fac081354553ebe483345c734fb6b6515d96bbc/click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202", size = 286342, upload-time = "2025-05-20T23:19:49.832Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/85/32/10bb5764d90a8eee674e9dc6f4db6a0ab47c8c4d0d83c27f7c39ac415a4d/click-8.2.1-py3-none-any.whl", hash = "sha256:61a3265b914e850b85317d0b3109c7f8cd35a670f963866005d6ef1d5175a12b", size = 102215, upload-time = "2025-05-20T23:19:47.796Z" }, +] + +[[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 = "comm" +version = "0.2.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/e9/a8/fb783cb0abe2b5fded9f55e5703015cdf1c9c85b3669087c538dd15a6a86/comm-0.2.2.tar.gz", hash = "sha256:3fd7a84065306e07bea1773df6eb8282de51ba82f77c72f9c85716ab11fe980e", size = 6210, upload-time = "2024-03-12T16:53:41.133Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e6/75/49e5bfe642f71f272236b5b2d2691cf915a7283cc0ceda56357b61daa538/comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3", size = 7180, upload-time = "2024-03-12T16:53:39.226Z" }, +] + +[[package]] +name = "contourpy" +version = "1.3.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/66/54/eb9bfc647b19f2009dd5c7f5ec51c4e6ca831725f1aea7a993034f483147/contourpy-1.3.2.tar.gz", hash = "sha256:b6945942715a034c671b7fc54f9588126b0b8bf23db2696e3ca8328f3ff0ab54", size = 13466130, upload-time = "2025-04-15T17:47:53.79Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/12/a3/da4153ec8fe25d263aa48c1a4cbde7f49b59af86f0b6f7862788c60da737/contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934", size = 268551, upload-time = "2025-04-15T17:34:46.581Z" }, + { url = "https://files.pythonhosted.org/packages/2f/6c/330de89ae1087eb622bfca0177d32a7ece50c3ef07b28002de4757d9d875/contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989", size = 253399, upload-time = "2025-04-15T17:34:51.427Z" }, + { url = "https://files.pythonhosted.org/packages/c1/bd/20c6726b1b7f81a8bee5271bed5c165f0a8e1f572578a9d27e2ccb763cb2/contourpy-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9be002b31c558d1ddf1b9b415b162c603405414bacd6932d031c5b5a8b757f0d", size = 312061, upload-time = "2025-04-15T17:34:55.961Z" }, + { url = "https://files.pythonhosted.org/packages/22/fc/a9665c88f8a2473f823cf1ec601de9e5375050f1958cbb356cdf06ef1ab6/contourpy-1.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8d2e74acbcba3bfdb6d9d8384cdc4f9260cae86ed9beee8bd5f54fee49a430b9", size = 351956, upload-time = "2025-04-15T17:35:00.992Z" }, + { url = "https://files.pythonhosted.org/packages/25/eb/9f0a0238f305ad8fb7ef42481020d6e20cf15e46be99a1fcf939546a177e/contourpy-1.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e259bced5549ac64410162adc973c5e2fb77f04df4a439d00b478e57a0e65512", size = 320872, upload-time = "2025-04-15T17:35:06.177Z" }, + { url = "https://files.pythonhosted.org/packages/32/5c/1ee32d1c7956923202f00cf8d2a14a62ed7517bdc0ee1e55301227fc273c/contourpy-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad687a04bc802cbe8b9c399c07162a3c35e227e2daccf1668eb1f278cb698631", size = 325027, upload-time = "2025-04-15T17:35:11.244Z" }, + { url = "https://files.pythonhosted.org/packages/83/bf/9baed89785ba743ef329c2b07fd0611d12bfecbedbdd3eeecf929d8d3b52/contourpy-1.3.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cdd22595308f53ef2f891040ab2b93d79192513ffccbd7fe19be7aa773a5e09f", size = 1306641, upload-time = "2025-04-15T17:35:26.701Z" }, + { url = "https://files.pythonhosted.org/packages/d4/cc/74e5e83d1e35de2d28bd97033426b450bc4fd96e092a1f7a63dc7369b55d/contourpy-1.3.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b4f54d6a2defe9f257327b0f243612dd051cc43825587520b1bf74a31e2f6ef2", size = 1374075, upload-time = "2025-04-15T17:35:43.204Z" }, + { url = "https://files.pythonhosted.org/packages/0c/42/17f3b798fd5e033b46a16f8d9fcb39f1aba051307f5ebf441bad1ecf78f8/contourpy-1.3.2-cp310-cp310-win32.whl", hash = "sha256:f939a054192ddc596e031e50bb13b657ce318cf13d264f095ce9db7dc6ae81c0", size = 177534, upload-time = "2025-04-15T17:35:46.554Z" }, + { url = "https://files.pythonhosted.org/packages/54/ec/5162b8582f2c994721018d0c9ece9dc6ff769d298a8ac6b6a652c307e7df/contourpy-1.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:c440093bbc8fc21c637c03bafcbef95ccd963bc6e0514ad887932c18ca2a759a", size = 221188, upload-time = "2025-04-15T17:35:50.064Z" }, + { url = "https://files.pythonhosted.org/packages/b3/b9/ede788a0b56fc5b071639d06c33cb893f68b1178938f3425debebe2dab78/contourpy-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6a37a2fb93d4df3fc4c0e363ea4d16f83195fc09c891bc8ce072b9d084853445", size = 269636, upload-time = "2025-04-15T17:35:54.473Z" }, + { url = "https://files.pythonhosted.org/packages/e6/75/3469f011d64b8bbfa04f709bfc23e1dd71be54d05b1b083be9f5b22750d1/contourpy-1.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b7cd50c38f500bbcc9b6a46643a40e0913673f869315d8e70de0438817cb7773", size = 254636, upload-time = "2025-04-15T17:35:58.283Z" }, + { url = "https://files.pythonhosted.org/packages/8d/2f/95adb8dae08ce0ebca4fd8e7ad653159565d9739128b2d5977806656fcd2/contourpy-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6658ccc7251a4433eebd89ed2672c2ed96fba367fd25ca9512aa92a4b46c4f1", size = 313053, upload-time = "2025-04-15T17:36:03.235Z" }, + { url = "https://files.pythonhosted.org/packages/c3/a6/8ccf97a50f31adfa36917707fe39c9a0cbc24b3bbb58185577f119736cc9/contourpy-1.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:70771a461aaeb335df14deb6c97439973d253ae70660ca085eec25241137ef43", size = 352985, upload-time = "2025-04-15T17:36:08.275Z" }, + { url = "https://files.pythonhosted.org/packages/1d/b6/7925ab9b77386143f39d9c3243fdd101621b4532eb126743201160ffa7e6/contourpy-1.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65a887a6e8c4cd0897507d814b14c54a8c2e2aa4ac9f7686292f9769fcf9a6ab", size = 323750, upload-time = "2025-04-15T17:36:13.29Z" }, + { url = "https://files.pythonhosted.org/packages/c2/f3/20c5d1ef4f4748e52d60771b8560cf00b69d5c6368b5c2e9311bcfa2a08b/contourpy-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3859783aefa2b8355697f16642695a5b9792e7a46ab86da1118a4a23a51a33d7", size = 326246, upload-time = "2025-04-15T17:36:18.329Z" }, + { url = "https://files.pythonhosted.org/packages/8c/e5/9dae809e7e0b2d9d70c52b3d24cba134dd3dad979eb3e5e71f5df22ed1f5/contourpy-1.3.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:eab0f6db315fa4d70f1d8ab514e527f0366ec021ff853d7ed6a2d33605cf4b83", size = 1308728, upload-time = "2025-04-15T17:36:33.878Z" }, + { url = "https://files.pythonhosted.org/packages/e2/4a/0058ba34aeea35c0b442ae61a4f4d4ca84d6df8f91309bc2d43bb8dd248f/contourpy-1.3.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d91a3ccc7fea94ca0acab82ceb77f396d50a1f67412efe4c526f5d20264e6ecd", size = 1375762, upload-time = "2025-04-15T17:36:51.295Z" }, + { url = "https://files.pythonhosted.org/packages/09/33/7174bdfc8b7767ef2c08ed81244762d93d5c579336fc0b51ca57b33d1b80/contourpy-1.3.2-cp311-cp311-win32.whl", hash = "sha256:1c48188778d4d2f3d48e4643fb15d8608b1d01e4b4d6b0548d9b336c28fc9b6f", size = 178196, upload-time = "2025-04-15T17:36:55.002Z" }, + { url = "https://files.pythonhosted.org/packages/5e/fe/4029038b4e1c4485cef18e480b0e2cd2d755448bb071eb9977caac80b77b/contourpy-1.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:5ebac872ba09cb8f2131c46b8739a7ff71de28a24c869bcad554477eb089a878", size = 222017, upload-time = "2025-04-15T17:36:58.576Z" }, + { url = "https://files.pythonhosted.org/packages/34/f7/44785876384eff370c251d58fd65f6ad7f39adce4a093c934d4a67a7c6b6/contourpy-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4caf2bcd2969402bf77edc4cb6034c7dd7c0803213b3523f111eb7460a51b8d2", size = 271580, upload-time = "2025-04-15T17:37:03.105Z" }, + { url = "https://files.pythonhosted.org/packages/93/3b/0004767622a9826ea3d95f0e9d98cd8729015768075d61f9fea8eeca42a8/contourpy-1.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:82199cb78276249796419fe36b7386bd8d2cc3f28b3bc19fe2454fe2e26c4c15", size = 255530, upload-time = "2025-04-15T17:37:07.026Z" }, + { url = "https://files.pythonhosted.org/packages/e7/bb/7bd49e1f4fa805772d9fd130e0d375554ebc771ed7172f48dfcd4ca61549/contourpy-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:106fab697af11456fcba3e352ad50effe493a90f893fca6c2ca5c033820cea92", size = 307688, upload-time = "2025-04-15T17:37:11.481Z" }, + { url = "https://files.pythonhosted.org/packages/fc/97/e1d5dbbfa170725ef78357a9a0edc996b09ae4af170927ba8ce977e60a5f/contourpy-1.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d14f12932a8d620e307f715857107b1d1845cc44fdb5da2bc8e850f5ceba9f87", size = 347331, upload-time = "2025-04-15T17:37:18.212Z" }, + { url = "https://files.pythonhosted.org/packages/6f/66/e69e6e904f5ecf6901be3dd16e7e54d41b6ec6ae3405a535286d4418ffb4/contourpy-1.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:532fd26e715560721bb0d5fc7610fce279b3699b018600ab999d1be895b09415", size = 318963, upload-time = "2025-04-15T17:37:22.76Z" }, + { url = "https://files.pythonhosted.org/packages/a8/32/b8a1c8965e4f72482ff2d1ac2cd670ce0b542f203c8e1d34e7c3e6925da7/contourpy-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26b383144cf2d2c29f01a1e8170f50dacf0eac02d64139dcd709a8ac4eb3cfe", size = 323681, upload-time = "2025-04-15T17:37:33.001Z" }, + { url = "https://files.pythonhosted.org/packages/30/c6/12a7e6811d08757c7162a541ca4c5c6a34c0f4e98ef2b338791093518e40/contourpy-1.3.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c49f73e61f1f774650a55d221803b101d966ca0c5a2d6d5e4320ec3997489441", size = 1308674, upload-time = "2025-04-15T17:37:48.64Z" }, + { url = "https://files.pythonhosted.org/packages/2a/8a/bebe5a3f68b484d3a2b8ffaf84704b3e343ef1addea528132ef148e22b3b/contourpy-1.3.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3d80b2c0300583228ac98d0a927a1ba6a2ba6b8a742463c564f1d419ee5b211e", size = 1380480, upload-time = "2025-04-15T17:38:06.7Z" }, + { url = "https://files.pythonhosted.org/packages/34/db/fcd325f19b5978fb509a7d55e06d99f5f856294c1991097534360b307cf1/contourpy-1.3.2-cp312-cp312-win32.whl", hash = "sha256:90df94c89a91b7362e1142cbee7568f86514412ab8a2c0d0fca72d7e91b62912", size = 178489, upload-time = "2025-04-15T17:38:10.338Z" }, + { url = "https://files.pythonhosted.org/packages/01/c8/fadd0b92ffa7b5eb5949bf340a63a4a496a6930a6c37a7ba0f12acb076d6/contourpy-1.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:8c942a01d9163e2e5cfb05cb66110121b8d07ad438a17f9e766317bcb62abf73", size = 223042, upload-time = "2025-04-15T17:38:14.239Z" }, + { url = "https://files.pythonhosted.org/packages/2e/61/5673f7e364b31e4e7ef6f61a4b5121c5f170f941895912f773d95270f3a2/contourpy-1.3.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:de39db2604ae755316cb5967728f4bea92685884b1e767b7c24e983ef5f771cb", size = 271630, upload-time = "2025-04-15T17:38:19.142Z" }, + { url = "https://files.pythonhosted.org/packages/ff/66/a40badddd1223822c95798c55292844b7e871e50f6bfd9f158cb25e0bd39/contourpy-1.3.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3f9e896f447c5c8618f1edb2bafa9a4030f22a575ec418ad70611450720b5b08", size = 255670, upload-time = "2025-04-15T17:38:23.688Z" }, + { url = "https://files.pythonhosted.org/packages/1e/c7/cf9fdee8200805c9bc3b148f49cb9482a4e3ea2719e772602a425c9b09f8/contourpy-1.3.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71e2bd4a1c4188f5c2b8d274da78faab884b59df20df63c34f74aa1813c4427c", size = 306694, upload-time = "2025-04-15T17:38:28.238Z" }, + { url = "https://files.pythonhosted.org/packages/dd/e7/ccb9bec80e1ba121efbffad7f38021021cda5be87532ec16fd96533bb2e0/contourpy-1.3.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de425af81b6cea33101ae95ece1f696af39446db9682a0b56daaa48cfc29f38f", size = 345986, upload-time = "2025-04-15T17:38:33.502Z" }, + { url = "https://files.pythonhosted.org/packages/dc/49/ca13bb2da90391fa4219fdb23b078d6065ada886658ac7818e5441448b78/contourpy-1.3.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:977e98a0e0480d3fe292246417239d2d45435904afd6d7332d8455981c408b85", size = 318060, upload-time = "2025-04-15T17:38:38.672Z" }, + { url = "https://files.pythonhosted.org/packages/c8/65/5245ce8c548a8422236c13ffcdcdada6a2a812c361e9e0c70548bb40b661/contourpy-1.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:434f0adf84911c924519d2b08fc10491dd282b20bdd3fa8f60fd816ea0b48841", size = 322747, upload-time = "2025-04-15T17:38:43.712Z" }, + { url = "https://files.pythonhosted.org/packages/72/30/669b8eb48e0a01c660ead3752a25b44fdb2e5ebc13a55782f639170772f9/contourpy-1.3.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c66c4906cdbc50e9cba65978823e6e00b45682eb09adbb78c9775b74eb222422", size = 1308895, upload-time = "2025-04-15T17:39:00.224Z" }, + { url = "https://files.pythonhosted.org/packages/05/5a/b569f4250decee6e8d54498be7bdf29021a4c256e77fe8138c8319ef8eb3/contourpy-1.3.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8b7fc0cd78ba2f4695fd0a6ad81a19e7e3ab825c31b577f384aa9d7817dc3bef", size = 1379098, upload-time = "2025-04-15T17:43:29.649Z" }, + { url = "https://files.pythonhosted.org/packages/19/ba/b227c3886d120e60e41b28740ac3617b2f2b971b9f601c835661194579f1/contourpy-1.3.2-cp313-cp313-win32.whl", hash = "sha256:15ce6ab60957ca74cff444fe66d9045c1fd3e92c8936894ebd1f3eef2fff075f", size = 178535, upload-time = "2025-04-15T17:44:44.532Z" }, + { url = "https://files.pythonhosted.org/packages/12/6e/2fed56cd47ca739b43e892707ae9a13790a486a3173be063681ca67d2262/contourpy-1.3.2-cp313-cp313-win_amd64.whl", hash = "sha256:e1578f7eafce927b168752ed7e22646dad6cd9bca673c60bff55889fa236ebf9", size = 223096, upload-time = "2025-04-15T17:44:48.194Z" }, + { url = "https://files.pythonhosted.org/packages/54/4c/e76fe2a03014a7c767d79ea35c86a747e9325537a8b7627e0e5b3ba266b4/contourpy-1.3.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0475b1f6604896bc7c53bb070e355e9321e1bc0d381735421a2d2068ec56531f", size = 285090, upload-time = "2025-04-15T17:43:34.084Z" }, + { url = "https://files.pythonhosted.org/packages/7b/e2/5aba47debd55d668e00baf9651b721e7733975dc9fc27264a62b0dd26eb8/contourpy-1.3.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:c85bb486e9be652314bb5b9e2e3b0d1b2e643d5eec4992c0fbe8ac71775da739", size = 268643, upload-time = "2025-04-15T17:43:38.626Z" }, + { url = "https://files.pythonhosted.org/packages/a1/37/cd45f1f051fe6230f751cc5cdd2728bb3a203f5619510ef11e732109593c/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:745b57db7758f3ffc05a10254edd3182a2a83402a89c00957a8e8a22f5582823", size = 310443, upload-time = "2025-04-15T17:43:44.522Z" }, + { url = "https://files.pythonhosted.org/packages/8b/a2/36ea6140c306c9ff6dd38e3bcec80b3b018474ef4d17eb68ceecd26675f4/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:970e9173dbd7eba9b4e01aab19215a48ee5dd3f43cef736eebde064a171f89a5", size = 349865, upload-time = "2025-04-15T17:43:49.545Z" }, + { url = "https://files.pythonhosted.org/packages/95/b7/2fc76bc539693180488f7b6cc518da7acbbb9e3b931fd9280504128bf956/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c6c4639a9c22230276b7bffb6a850dfc8258a2521305e1faefe804d006b2e532", size = 321162, upload-time = "2025-04-15T17:43:54.203Z" }, + { url = "https://files.pythonhosted.org/packages/f4/10/76d4f778458b0aa83f96e59d65ece72a060bacb20cfbee46cf6cd5ceba41/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc829960f34ba36aad4302e78eabf3ef16a3a100863f0d4eeddf30e8a485a03b", size = 327355, upload-time = "2025-04-15T17:44:01.025Z" }, + { url = "https://files.pythonhosted.org/packages/43/a3/10cf483ea683f9f8ab096c24bad3cce20e0d1dd9a4baa0e2093c1c962d9d/contourpy-1.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:d32530b534e986374fc19eaa77fcb87e8a99e5431499949b828312bdcd20ac52", size = 1307935, upload-time = "2025-04-15T17:44:17.322Z" }, + { url = "https://files.pythonhosted.org/packages/78/73/69dd9a024444489e22d86108e7b913f3528f56cfc312b5c5727a44188471/contourpy-1.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e298e7e70cf4eb179cc1077be1c725b5fd131ebc81181bf0c03525c8abc297fd", size = 1372168, upload-time = "2025-04-15T17:44:33.43Z" }, + { url = "https://files.pythonhosted.org/packages/0f/1b/96d586ccf1b1a9d2004dd519b25fbf104a11589abfd05484ff12199cca21/contourpy-1.3.2-cp313-cp313t-win32.whl", hash = "sha256:d0e589ae0d55204991450bb5c23f571c64fe43adaa53f93fc902a84c96f52fe1", size = 189550, upload-time = "2025-04-15T17:44:37.092Z" }, + { url = "https://files.pythonhosted.org/packages/b0/e6/6000d0094e8a5e32ad62591c8609e269febb6e4db83a1c75ff8868b42731/contourpy-1.3.2-cp313-cp313t-win_amd64.whl", hash = "sha256:78e9253c3de756b3f6a5174d024c4835acd59eb3f8e2ca13e775dbffe1558f69", size = 238214, upload-time = "2025-04-15T17:44:40.827Z" }, + { url = "https://files.pythonhosted.org/packages/33/05/b26e3c6ecc05f349ee0013f0bb850a761016d89cec528a98193a48c34033/contourpy-1.3.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:fd93cc7f3139b6dd7aab2f26a90dde0aa9fc264dbf70f6740d498a70b860b82c", size = 265681, upload-time = "2025-04-15T17:44:59.314Z" }, + { url = "https://files.pythonhosted.org/packages/2b/25/ac07d6ad12affa7d1ffed11b77417d0a6308170f44ff20fa1d5aa6333f03/contourpy-1.3.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:107ba8a6a7eec58bb475329e6d3b95deba9440667c4d62b9b6063942b61d7f16", size = 315101, upload-time = "2025-04-15T17:45:04.165Z" }, + { url = "https://files.pythonhosted.org/packages/8f/4d/5bb3192bbe9d3f27e3061a6a8e7733c9120e203cb8515767d30973f71030/contourpy-1.3.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ded1706ed0c1049224531b81128efbd5084598f18d8a2d9efae833edbd2b40ad", size = 220599, upload-time = "2025-04-15T17:45:08.456Z" }, + { url = "https://files.pythonhosted.org/packages/ff/c0/91f1215d0d9f9f343e4773ba6c9b89e8c0cc7a64a6263f21139da639d848/contourpy-1.3.2-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5f5964cdad279256c084b69c3f412b7801e15356b16efa9d78aa974041903da0", size = 266807, upload-time = "2025-04-15T17:45:15.535Z" }, + { url = "https://files.pythonhosted.org/packages/d4/79/6be7e90c955c0487e7712660d6cead01fa17bff98e0ea275737cc2bc8e71/contourpy-1.3.2-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49b65a95d642d4efa8f64ba12558fcb83407e58a2dfba9d796d77b63ccfcaff5", size = 318729, upload-time = "2025-04-15T17:45:20.166Z" }, + { url = "https://files.pythonhosted.org/packages/87/68/7f46fb537958e87427d98a4074bcde4b67a70b04900cfc5ce29bc2f556c1/contourpy-1.3.2-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:8c5acb8dddb0752bf252e01a3035b21443158910ac16a3b0d20e7fed7d534ce5", size = 221791, upload-time = "2025-04-15T17:45:24.794Z" }, +] + +[[package]] +name = "ctx-to-lora" +version = "0.0.1" +source = { editable = "." } +dependencies = [ + { name = "accelerate" }, + { name = "datasets" }, + { name = "deepspeed" }, + { name = "einops" }, + { name = "fasttext-wheel" }, + { name = "flask" }, + { name = "hf-transfer" }, + { name = "inflect" }, + { name = "jaxtyping" }, + { name = "jupyter" }, + { name = "liger-kernel" }, + { name = "matplotlib" }, + { name = "pandas" }, + { name = "peft" }, + { name = "plotly" }, + { name = "pre-commit" }, + { name = "rouge-score" }, + { name = "setuptools" }, + { name = "tensorboard" }, + { name = "tensorboardx" }, + { name = "torchmetrics" }, + { name = "transformers" }, + { name = "wandb" }, +] + +[package.metadata] +requires-dist = [ + { name = "accelerate", specifier = "==1.6.0" }, + { name = "datasets", specifier = "==3.6.0" }, + { name = "deepspeed", specifier = "==0.16.7" }, + { name = "einops" }, + { name = "fasttext-wheel" }, + { name = "flask" }, + { name = "hf-transfer" }, + { name = "inflect" }, + { name = "jaxtyping" }, + { name = "jupyter" }, + { name = "liger-kernel" }, + { name = "matplotlib" }, + { name = "pandas" }, + { name = "peft" }, + { name = "plotly" }, + { name = "pre-commit" }, + { name = "rouge-score" }, + { name = "setuptools" }, + { name = "tensorboard" }, + { name = "tensorboardx" }, + { name = "torchmetrics" }, + { name = "transformers", specifier = "==4.51.3" }, + { name = "wandb" }, +] + +[[package]] +name = "cycler" +version = "0.12.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/a9/95/a3dbbb5028f35eafb79008e7522a75244477d2838f38cbb722248dabc2a8/cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c", size = 7615, upload-time = "2023-10-07T05:32:18.335Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30", size = 8321, upload-time = "2023-10-07T05:32:16.783Z" }, +] + +[[package]] +name = "datasets" +version = "3.6.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "dill" }, + { name = "filelock" }, + { name = "fsspec", extra = ["http"] }, + { 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/1a/89/d3d6fef58a488f8569c82fd293ab7cbd4250244d67f425dcae64c63800ea/datasets-3.6.0.tar.gz", hash = "sha256:1b2bf43b19776e2787e181cfd329cb0ca1a358ea014780c3581e0f276375e041", size = 569336, upload-time = "2025-05-07T15:15:02.659Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/20/34/a08b0ee99715eaba118cbe19a71f7b5e2425c2718ef96007c325944a1152/datasets-3.6.0-py3-none-any.whl", hash = "sha256:25000c4a2c0873a710df127d08a202a06eab7bf42441a6bc278b499c2f72cd1b", size = 491546, upload-time = "2025-05-07T15:14:59.742Z" }, +] + +[[package]] +name = "debugpy" +version = "1.8.14" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/bd/75/087fe07d40f490a78782ff3b0a30e3968936854105487decdb33446d4b0e/debugpy-1.8.14.tar.gz", hash = "sha256:7cd287184318416850aa8b60ac90105837bb1e59531898c07569d197d2ed5322", size = 1641444, upload-time = "2025-04-10T19:46:10.981Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/fc/df/156df75a41aaebd97cee9d3870fe68f8001b6c1c4ca023e221cfce69bece/debugpy-1.8.14-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:93fee753097e85623cab1c0e6a68c76308cd9f13ffdf44127e6fab4fbf024339", size = 2076510, upload-time = "2025-04-10T19:46:13.315Z" }, + { url = "https://files.pythonhosted.org/packages/69/cd/4fc391607bca0996db5f3658762106e3d2427beaef9bfd363fd370a3c054/debugpy-1.8.14-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d937d93ae4fa51cdc94d3e865f535f185d5f9748efb41d0d49e33bf3365bd79", size = 3559614, upload-time = "2025-04-10T19:46:14.647Z" }, + { url = "https://files.pythonhosted.org/packages/1a/42/4e6d2b9d63e002db79edfd0cb5656f1c403958915e0e73ab3e9220012eec/debugpy-1.8.14-cp310-cp310-win32.whl", hash = "sha256:c442f20577b38cc7a9aafecffe1094f78f07fb8423c3dddb384e6b8f49fd2987", size = 5208588, upload-time = "2025-04-10T19:46:16.233Z" }, + { url = "https://files.pythonhosted.org/packages/97/b1/cc9e4e5faadc9d00df1a64a3c2d5c5f4b9df28196c39ada06361c5141f89/debugpy-1.8.14-cp310-cp310-win_amd64.whl", hash = "sha256:f117dedda6d969c5c9483e23f573b38f4e39412845c7bc487b6f2648df30fe84", size = 5241043, upload-time = "2025-04-10T19:46:17.768Z" }, + { url = "https://files.pythonhosted.org/packages/67/e8/57fe0c86915671fd6a3d2d8746e40485fd55e8d9e682388fbb3a3d42b86f/debugpy-1.8.14-cp311-cp311-macosx_14_0_universal2.whl", hash = "sha256:1b2ac8c13b2645e0b1eaf30e816404990fbdb168e193322be8f545e8c01644a9", size = 2175064, upload-time = "2025-04-10T19:46:19.486Z" }, + { url = "https://files.pythonhosted.org/packages/3b/97/2b2fd1b1c9569c6764ccdb650a6f752e4ac31be465049563c9eb127a8487/debugpy-1.8.14-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf431c343a99384ac7eab2f763980724834f933a271e90496944195318c619e2", size = 3132359, upload-time = "2025-04-10T19:46:21.192Z" }, + { url = "https://files.pythonhosted.org/packages/c0/ee/b825c87ed06256ee2a7ed8bab8fb3bb5851293bf9465409fdffc6261c426/debugpy-1.8.14-cp311-cp311-win32.whl", hash = "sha256:c99295c76161ad8d507b413cd33422d7c542889fbb73035889420ac1fad354f2", size = 5133269, upload-time = "2025-04-10T19:46:23.047Z" }, + { url = "https://files.pythonhosted.org/packages/d5/a6/6c70cd15afa43d37839d60f324213843174c1d1e6bb616bd89f7c1341bac/debugpy-1.8.14-cp311-cp311-win_amd64.whl", hash = "sha256:7816acea4a46d7e4e50ad8d09d963a680ecc814ae31cdef3622eb05ccacf7b01", size = 5158156, upload-time = "2025-04-10T19:46:24.521Z" }, + { url = "https://files.pythonhosted.org/packages/d9/2a/ac2df0eda4898f29c46eb6713a5148e6f8b2b389c8ec9e425a4a1d67bf07/debugpy-1.8.14-cp312-cp312-macosx_14_0_universal2.whl", hash = "sha256:8899c17920d089cfa23e6005ad9f22582fd86f144b23acb9feeda59e84405b84", size = 2501268, upload-time = "2025-04-10T19:46:26.044Z" }, + { url = "https://files.pythonhosted.org/packages/10/53/0a0cb5d79dd9f7039169f8bf94a144ad3efa52cc519940b3b7dde23bcb89/debugpy-1.8.14-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6bb5c0dcf80ad5dbc7b7d6eac484e2af34bdacdf81df09b6a3e62792b722826", size = 4221077, upload-time = "2025-04-10T19:46:27.464Z" }, + { url = "https://files.pythonhosted.org/packages/f8/d5/84e01821f362327bf4828728aa31e907a2eca7c78cd7c6ec062780d249f8/debugpy-1.8.14-cp312-cp312-win32.whl", hash = "sha256:281d44d248a0e1791ad0eafdbbd2912ff0de9eec48022a5bfbc332957487ed3f", size = 5255127, upload-time = "2025-04-10T19:46:29.467Z" }, + { url = "https://files.pythonhosted.org/packages/33/16/1ed929d812c758295cac7f9cf3dab5c73439c83d9091f2d91871e648093e/debugpy-1.8.14-cp312-cp312-win_amd64.whl", hash = "sha256:5aa56ef8538893e4502a7d79047fe39b1dae08d9ae257074c6464a7b290b806f", size = 5297249, upload-time = "2025-04-10T19:46:31.538Z" }, + { url = "https://files.pythonhosted.org/packages/4d/e4/395c792b243f2367d84202dc33689aa3d910fb9826a7491ba20fc9e261f5/debugpy-1.8.14-cp313-cp313-macosx_14_0_universal2.whl", hash = "sha256:329a15d0660ee09fec6786acdb6e0443d595f64f5d096fc3e3ccf09a4259033f", size = 2485676, upload-time = "2025-04-10T19:46:32.96Z" }, + { url = "https://files.pythonhosted.org/packages/ba/f1/6f2ee3f991327ad9e4c2f8b82611a467052a0fb0e247390192580e89f7ff/debugpy-1.8.14-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f920c7f9af409d90f5fd26e313e119d908b0dd2952c2393cd3247a462331f15", size = 4217514, upload-time = "2025-04-10T19:46:34.336Z" }, + { url = "https://files.pythonhosted.org/packages/79/28/b9d146f8f2dc535c236ee09ad3e5ac899adb39d7a19b49f03ac95d216beb/debugpy-1.8.14-cp313-cp313-win32.whl", hash = "sha256:3784ec6e8600c66cbdd4ca2726c72d8ca781e94bce2f396cc606d458146f8f4e", size = 5254756, upload-time = "2025-04-10T19:46:36.199Z" }, + { url = "https://files.pythonhosted.org/packages/e0/62/a7b4a57013eac4ccaef6977966e6bec5c63906dd25a86e35f155952e29a1/debugpy-1.8.14-cp313-cp313-win_amd64.whl", hash = "sha256:684eaf43c95a3ec39a96f1f5195a7ff3d4144e4a18d69bb66beeb1a6de605d6e", size = 5297119, upload-time = "2025-04-10T19:46:38.141Z" }, + { url = "https://files.pythonhosted.org/packages/97/1a/481f33c37ee3ac8040d3d51fc4c4e4e7e61cb08b8bc8971d6032acc2279f/debugpy-1.8.14-py2.py3-none-any.whl", hash = "sha256:5cd9a579d553b6cb9759a7908a41988ee6280b961f24f63336835d9418216a20", size = 5256230, upload-time = "2025-04-10T19:46:54.077Z" }, +] + +[[package]] +name = "decorator" +version = "5.2.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/43/fa/6d96a0978d19e17b68d634497769987b16c8f4cd0a7a05048bec693caa6b/decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360", size = 56711, upload-time = "2025-02-24T04:41:34.073Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/4e/8c/f3147f5c4b73e7550fe5f9352eaa956ae838d5c51eb58e7a25b9f3e2643b/decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a", size = 9190, upload-time = "2025-02-24T04:41:32.565Z" }, +] + +[[package]] +name = "deepspeed" +version = "0.16.7" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "einops" }, + { name = "hjson" }, + { name = "msgpack" }, + { name = "ninja" }, + { name = "numpy" }, + { name = "packaging" }, + { name = "psutil" }, + { name = "py-cpuinfo" }, + { name = "pydantic" }, + { name = "torch" }, + { name = "tqdm" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/06/b3/a3903de5c5b707170c5c27e1a40f4ef613f14d241bd84d8b151a2a8786f6/deepspeed-0.16.7.tar.gz", hash = "sha256:2a56eee6ad7b82decf37bb6ad8ec5e16dad96b647d79854132c715d42a78bd85", size = 1511314, upload-time = "2025-04-18T15:37:44.929Z" } + +[[package]] +name = "defusedxml" +version = "0.7.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/0f/d5/c66da9b79e5bdb124974bfe172b4daf3c984ebd9c2a06e2b8a4dc7331c72/defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69", size = 75520, upload-time = "2021-03-08T10:59:26.269Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/07/6c/aa3f2f849e01cb6a001cd8554a88d4c77c5c1a31c95bdf1cf9301e6d9ef4/defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61", size = 25604, upload-time = "2021-03-08T10:59:24.45Z" }, +] + +[[package]] +name = "dill" +version = "0.3.8" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/17/4d/ac7ffa80c69ea1df30a8aa11b3578692a5118e7cd1aa157e3ef73b092d15/dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca", size = 184847, upload-time = "2024-01-27T23:42:16.145Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c9/7a/cef76fd8438a42f96db64ddaa85280485a9c395e7df3db8158cfec1eee34/dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7", size = 116252, upload-time = "2024-01-27T23:42:14.239Z" }, +] + +[[package]] +name = "distlib" +version = "0.3.9" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/0d/dd/1bec4c5ddb504ca60fc29472f3d27e8d4da1257a854e1d96742f15c1d02d/distlib-0.3.9.tar.gz", hash = "sha256:a60f20dea646b8a33f3e7772f74dc0b2d0772d2837ee1342a00645c81edf9403", size = 613923, upload-time = "2024-10-09T18:35:47.551Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/91/a1/cf2472db20f7ce4a6be1253a81cfdf85ad9c7885ffbed7047fb72c24cf87/distlib-0.3.9-py2.py3-none-any.whl", hash = "sha256:47f8c22fd27c27e25a65601af709b38e4f0a45ea4fc2e710f65755fa8caaaf87", size = 468973, upload-time = "2024-10-09T18:35:44.272Z" }, +] + +[[package]] +name = "docker-pycreds" +version = "0.4.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "six" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/c5/e6/d1f6c00b7221e2d7c4b470132c931325c8b22c51ca62417e300f5ce16009/docker-pycreds-0.4.0.tar.gz", hash = "sha256:6ce3270bcaf404cc4c3e27e4b6c70d3521deae82fb508767870fdbf772d584d4", size = 8754, upload-time = "2018-11-29T03:26:50.996Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f5/e8/f6bd1eee09314e7e6dee49cbe2c5e22314ccdb38db16c9fc72d2fa80d054/docker_pycreds-0.4.0-py2.py3-none-any.whl", hash = "sha256:7266112468627868005106ec19cd0d722702d2b7d5912a28e19b826c3d37af49", size = 8982, upload-time = "2018-11-29T03:26:49.575Z" }, +] + +[[package]] +name = "einops" +version = "0.8.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/e5/81/df4fbe24dff8ba3934af99044188e20a98ed441ad17a274539b74e82e126/einops-0.8.1.tar.gz", hash = "sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84", size = 54805, upload-time = "2025-02-09T03:17:00.434Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/87/62/9773de14fe6c45c23649e98b83231fffd7b9892b6cf863251dc2afa73643/einops-0.8.1-py3-none-any.whl", hash = "sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737", size = 64359, upload-time = "2025-02-09T03:17:01.998Z" }, +] + +[[package]] +name = "exceptiongroup" +version = "1.3.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0b/9f/a65090624ecf468cdca03533906e7c69ed7588582240cfe7cc9e770b50eb/exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88", size = 29749, upload-time = "2025-05-10T17:42:51.123Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/36/f4/c6e662dade71f56cd2f3735141b265c3c79293c109549c1e6933b0651ffc/exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10", size = 16674, upload-time = "2025-05-10T17:42:49.33Z" }, +] + +[[package]] +name = "executing" +version = "2.2.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/91/50/a9d80c47ff289c611ff12e63f7c5d13942c65d68125160cefd768c73e6e4/executing-2.2.0.tar.gz", hash = "sha256:5d108c028108fe2551d1a7b2e8b713341e2cb4fc0aa7dcf966fa4327a5226755", size = 978693, upload-time = "2025-01-22T15:41:29.403Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7b/8f/c4d9bafc34ad7ad5d8dc16dd1347ee0e507a52c3adb6bfa8887e1c6a26ba/executing-2.2.0-py2.py3-none-any.whl", hash = "sha256:11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa", size = 26702, upload-time = "2025-01-22T15:41:25.929Z" }, +] + +[[package]] +name = "fastjsonschema" +version = "2.21.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/8b/50/4b769ce1ac4071a1ef6d86b1a3fb56cdc3a37615e8c5519e1af96cdac366/fastjsonschema-2.21.1.tar.gz", hash = "sha256:794d4f0a58f848961ba16af7b9c85a3e88cd360df008c59aac6fc5ae9323b5d4", size = 373939, upload-time = "2024-12-02T10:55:15.133Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/90/2b/0817a2b257fe88725c25589d89aec060581aabf668707a8d03b2e9e0cb2a/fastjsonschema-2.21.1-py3-none-any.whl", hash = "sha256:c9e5b7e908310918cf494a434eeb31384dd84a98b57a30bcb1f535015b554667", size = 23924, upload-time = "2024-12-02T10:55:07.599Z" }, +] + +[[package]] +name = "fasttext-wheel" +version = "0.9.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy" }, + { name = "pybind11" }, + { name = "setuptools" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/c8/51/022e84b23ec435248a39f727dae94240321ebe2fdc104800de80410e1550/fasttext-wheel-0.9.2.tar.gz", hash = "sha256:056e088318ef0e0cc690c4cb18637320eaa3cdb986b62d67bb50d6a7a82e4051", size = 71384, upload-time = "2023-05-05T12:02:55.501Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1e/ed/dd07bba161fd4bd08a67ab108e37b6ed919b0967913a82d33c45cc3ed047/fasttext_wheel-0.9.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:af606b17d47695a17ee87dc5a5c76e29cc957f08bd090cb2441e3815c030a99d", size = 638807, upload-time = "2022-07-09T08:05:23.317Z" }, + { url = "https://files.pythonhosted.org/packages/c0/14/c3a40b7255b8f0d62090a153dad406855689daa44982b7ae70b84ee5cfef/fasttext_wheel-0.9.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:c4e9e59778eb3f3a3c99bf3c1257791564fbafab9b80e89345ee0940c20e1648", size = 324329, upload-time = "2022-07-09T08:09:44.05Z" }, + { url = "https://files.pythonhosted.org/packages/2a/ff/83af4b09e6500c891007ed1ee77e93c7bf6b909c69b0cf67489de3343c81/fasttext_wheel-0.9.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:0e8a73ee48502dfc6243faf6799dec3067795a6dc02c1d47fedc620e80e9ee94", size = 2861268, upload-time = "2022-07-09T08:00:23.195Z" }, + { url = "https://files.pythonhosted.org/packages/94/3d/9de31e989742bca76d85b297fe01d873cb8211ee4faaa8472a43c937783f/fasttext_wheel-0.9.2-cp310-cp310-manylinux2014_armv7l.whl", hash = "sha256:f1dba6805073d46495dc700a8e29a5524c87f141a29820664c47207260723e78", size = 2640861, upload-time = "2022-07-09T08:01:07.131Z" }, + { url = "https://files.pythonhosted.org/packages/cb/cb/f5c76ed5c886dd5323e91c0d8d0264a3fae7a398a5fa5fb63eaf226d7893/fasttext_wheel-0.9.2-cp310-cp310-manylinux2014_ppc64.whl", hash = "sha256:3b7f0d76e2c2b20a582725dc9c7e3419bb55745ac2842271c2e785047b143ac7", size = 2907922, upload-time = "2022-07-09T08:01:15.659Z" }, + { url = "https://files.pythonhosted.org/packages/0a/10/b1f0550ced5eb4c4a31edf8cd363e704d12a75a058a156340c794895ac1b/fasttext_wheel-0.9.2-cp310-cp310-manylinux2014_ppc64le.whl", hash = "sha256:dbad8ab4820b08273450a395f76a536044a749227ecac060ba48a1d70426768b", size = 2786856, upload-time = "2022-07-09T08:01:47.1Z" }, + { url = "https://files.pythonhosted.org/packages/ae/00/d0ef9c22f09abc766aa50144e991e747dbb494c73636201ac2327d8ada55/fasttext_wheel-0.9.2-cp310-cp310-manylinux2014_s390x.whl", hash = "sha256:8280415f59178879963791da9b51eee23a0faf1230fbc770fe917801b5d8f3f6", size = 2829401, upload-time = "2022-07-09T08:02:16.184Z" }, + { url = "https://files.pythonhosted.org/packages/21/f2/defd13727934b9ffa9c01c1facf1dc1353d9d19ad81e8c85f83b08d846b8/fasttext_wheel-0.9.2-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:2cce299a49f50b5867fff464d1051beebe1d612b23213bb29b09f96935ca4ca0", size = 4332405, upload-time = "2022-07-09T08:00:54.261Z" }, + { url = "https://files.pythonhosted.org/packages/cc/d9/f216866c2d31beac59ad97caa502e3208cf9b21581feba864d7c82ff5995/fasttext_wheel-0.9.2-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:09a25790ad17ee21f31efe39d51e4106c718a1ed9c7ac0bdc1ad7512f2d64d22", size = 4472242, upload-time = "2022-07-09T08:00:50.098Z" }, + { url = "https://files.pythonhosted.org/packages/14/a3/d7f8b00eb6aeca39d4beb9a683b78eaa9133e162c5cde09a9b16d4eb4611/fasttext_wheel-0.9.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6d5d47dacf4930254de1806b19cc603a0daac034477a27329dc7b3a4f4240d4a", size = 4342340, upload-time = "2022-10-25T07:09:16.277Z" }, + { url = "https://files.pythonhosted.org/packages/3a/78/5af1ed52339a6c09277921f56e60cc1c167154147a3038ab77aaaf45ef19/fasttext_wheel-0.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0aa4755a3ab0717e32627ede55e9c12cd7bbba464c73af7f08a3142bd6c62df7", size = 4421996, upload-time = "2022-10-25T07:09:59.107Z" }, + { url = "https://files.pythonhosted.org/packages/c6/fd/0f3d7275f4a4750f9ed847280df7182d7e1fe7e8dd6a329ad1fdc6f047ed/fasttext_wheel-0.9.2-cp310-cp310-win32.whl", hash = "sha256:5c4938600006dd13bb215f105adb971e8f129491e03cc5de5ac53f292cdbc9a6", size = 210491, upload-time = "2022-07-09T08:00:39.666Z" }, + { url = "https://files.pythonhosted.org/packages/1f/08/9a495ba568887cb5f9022b600806beb39754ff0870d779b4976e039fdb24/fasttext_wheel-0.9.2-cp310-cp310-win_amd64.whl", hash = "sha256:acb1e336c63fcf46ef8965904c03589d230ebc6a3c4a7f05b0a32a7de85de11a", size = 241525, upload-time = "2022-07-09T08:00:33.402Z" }, + { url = "https://files.pythonhosted.org/packages/e8/87/ff2a0cdcd422a951a3c000a809c2f77462085dde0192f10405377f5454e3/fasttext_wheel-0.9.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a32cc0bee31985c5a15ae2ec4f7d777c84e84294d70969d7382961305b0851cf", size = 307771, upload-time = "2022-10-25T08:51:47.354Z" }, + { url = "https://files.pythonhosted.org/packages/02/8a/625195477d08abc9d1674ee99c818f565c4a49849db75078c1e319a189db/fasttext_wheel-0.9.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:aefd4dbecf4c243628a513c3f9f9008a4c94d63f4194cfde6d11975710f04b7c", size = 330705, upload-time = "2022-10-25T08:33:31.472Z" }, + { url = "https://files.pythonhosted.org/packages/e3/24/8a85a2d6c80b303762f2bd296f7a3bbc1027ce6731a3d6f0bc28665c8065/fasttext_wheel-0.9.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:ef5be5e24ad4aab61eb42c30e1a7909464b20958907c23dfe4037ef247755254", size = 2882873, upload-time = "2022-11-02T13:00:35.222Z" }, + { url = "https://files.pythonhosted.org/packages/05/75/105f62d1d24e0bae7c53893c1bbe3cf6eed71c6aa33961105058647e2409/fasttext_wheel-0.9.2-cp311-cp311-manylinux2014_armv7l.whl", hash = "sha256:2dcbe5cb3ebad68667772ff2457d1d5ced69e9caa19fe35e53fe1b0c68db69f6", size = 2661872, upload-time = "2022-11-02T13:00:54.818Z" }, + { url = "https://files.pythonhosted.org/packages/2d/86/2b43814c0f0722e3800ffb0ab873f7d17d9ec107d0b7b477583e6e8ac769/fasttext_wheel-0.9.2-cp311-cp311-manylinux2014_ppc64.whl", hash = "sha256:b1e6c4aee8dfc5629aba54c0c044eb0c699b3f82ee5f0f1a8edf69c84ffaa1bd", size = 2931234, upload-time = "2022-11-02T13:01:55.116Z" }, + { url = "https://files.pythonhosted.org/packages/31/c4/74783db26f0067ce9508678b18e033b0d0575e389a7a93431aae0338afcd/fasttext_wheel-0.9.2-cp311-cp311-manylinux2014_ppc64le.whl", hash = "sha256:ad1a3e10354cb71cb2e182ce4cb7fa61fd2396fe4e28d52002b8f6a749138e4d", size = 2809784, upload-time = "2022-11-02T13:00:41.575Z" }, + { url = "https://files.pythonhosted.org/packages/5d/bf/a9053e329d43a8daac6afe21f4e856b9f2dabfd69e2a8359c23e3c2e345b/fasttext_wheel-0.9.2-cp311-cp311-manylinux2014_s390x.whl", hash = "sha256:c7b94290bc5bf1a8f2cf6ca2e84364bca3588525625907323d3a77bc96365915", size = 2849750, upload-time = "2022-11-02T13:00:38.967Z" }, + { url = "https://files.pythonhosted.org/packages/64/4d/39e0520fbbde6861467948dfd188aefca614c671e5801ca86b95059f9b1d/fasttext_wheel-0.9.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9e09cff3f2002cdef5f046a0969a0bf886d5386c2eb1c15874d90f9a95edb8d0", size = 4351369, upload-time = "2022-10-25T07:09:18.669Z" }, + { url = "https://files.pythonhosted.org/packages/f6/13/94644fa56b36d5638e2c689f4506e2685a13c78765d03ae22294711460d4/fasttext_wheel-0.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ec13d485e0202e729b3bcb7283dda9c499581f691fa8e835e237ee5cf69a2b5", size = 4430756, upload-time = "2022-10-25T07:10:01.452Z" }, + { url = "https://files.pythonhosted.org/packages/d9/e3/401187b0dbb79c9e878f74aa70921478817ef3a154d2edd2b41c5ab4d476/fasttext_wheel-0.9.2-cp311-cp311-win32.whl", hash = "sha256:39d3201a8e6dabf59c0d8f9a7064d12bb996bca38f5f15e5a678e12fcbd39a35", size = 202482, upload-time = "2022-10-25T07:12:43.423Z" }, + { url = "https://files.pythonhosted.org/packages/96/58/2d1c2557cefa8d30c7e7ed182cac53cc811b4dcf265ffa64fb8e8a6287c5/fasttext_wheel-0.9.2-cp311-cp311-win_amd64.whl", hash = "sha256:1afb40118fb1b39e159bbdded14834a6a95415c0be957553647b9d70c7cc45ff", size = 232405, upload-time = "2022-10-25T07:10:33.006Z" }, + { url = "https://files.pythonhosted.org/packages/1e/80/382fc6db2a7d80f343ff26f7506f1214dcc1ac1c9fcca1d1c61faee80be7/fasttext_wheel-0.9.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cc650bd6984ea15207ab09e56f20c2fd09fe90822f4663896185cedb79825d6d", size = 310613, upload-time = "2024-02-17T03:51:36.767Z" }, + { url = "https://files.pythonhosted.org/packages/cf/91/9dc1baf7d53fcf980406656d568a609cdec5afa94765fd4e32850f74e8d6/fasttext_wheel-0.9.2-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:1d673dc21be911134142642e5cf3a92537f565156ede0871f3a769108f446163", size = 2944693, upload-time = "2024-02-17T03:44:39.036Z" }, + { url = "https://files.pythonhosted.org/packages/f3/6f/fb366b9cb5531e5df51cf67e2693d7bf9b1f4ace859e0e70d62b73c818d3/fasttext_wheel-0.9.2-cp312-cp312-manylinux2014_armv7l.whl", hash = "sha256:a0bbeaf364fdae4269648391ce44f3c4d5774ec7bea614b65b7c51254f1697fd", size = 2700507, upload-time = "2024-02-17T03:44:57.588Z" }, + { url = "https://files.pythonhosted.org/packages/21/54/637ccc9b6f064e31151e16d7bc597696deff85998a0a6b0cec970aeb22f4/fasttext_wheel-0.9.2-cp312-cp312-manylinux2014_ppc64.whl", hash = "sha256:6ab035ecdf8debd35bf513613abaca714876b799fede8ab32c3841417178c543", size = 2986372, upload-time = "2024-02-17T03:45:02.299Z" }, + { url = "https://files.pythonhosted.org/packages/09/c3/a9b5519a2d4eee79994a19ae8d4a093fff064802f62fde2402470c160502/fasttext_wheel-0.9.2-cp312-cp312-manylinux2014_ppc64le.whl", hash = "sha256:0a30b779f3f77eca0d31bb11c074fadbc5ab9e6e4c7cdb3135780a61d63eb3fb", size = 2866335, upload-time = "2024-02-17T03:45:52.846Z" }, + { url = "https://files.pythonhosted.org/packages/89/09/f2832c3f4d8d38dcc072c9d15632125ccd61e62243e4d0ef99eaf545bf26/fasttext_wheel-0.9.2-cp312-cp312-manylinux2014_s390x.whl", hash = "sha256:ca27b054837168dd34b202ef59c903fd713d2307c9d27814ff67bc2d6beeadd2", size = 2903536, upload-time = "2024-02-17T03:44:46.054Z" }, + { url = "https://files.pythonhosted.org/packages/fe/0a/4f841f20618e9dcd3420b161d26df77042837a7346aa09ed8eda002ab676/fasttext_wheel-0.9.2-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e73457b66edd1fb893092c1717102e7e7d184a9413735801a4c39d0299846940", size = 4469299, upload-time = "2024-02-17T03:45:15.162Z" }, + { url = "https://files.pythonhosted.org/packages/ff/40/ed638abf8ac6fd0d1e7c47d07d37621e86f46522bbad0bec6e4f6d85a39d/fasttext_wheel-0.9.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5758d911a4e4539c75e93d58d9feee2c6de96a5addc4f4d7d76ed4e8953a4f35", size = 4565768, upload-time = "2024-02-17T03:45:13.807Z" }, + { url = "https://files.pythonhosted.org/packages/94/98/1c655e814d470ee5ae978b21739ad8a1a598a14b9929b1e966a8fdfe5ce6/fasttext_wheel-0.9.2-cp312-cp312-win32.whl", hash = "sha256:79bfa9b168c115e3b4eab1f7694a80ca6a9ea96ee5e2e4d737e07f5b61812ae8", size = 204177, upload-time = "2024-02-17T03:44:43.724Z" }, + { url = "https://files.pythonhosted.org/packages/d3/e1/5c1880859a122a57793d13685af6451bcb67be90bf74549bcf042c2ade6b/fasttext_wheel-0.9.2-cp312-cp312-win_amd64.whl", hash = "sha256:8a0cc9e92377d27835a71862c68782e70c9bbd2a666a1a51b2c8261fc9892470", size = 234667, upload-time = "2024-02-17T03:43:13.228Z" }, +] + +[[package]] +name = "filelock" +version = "3.18.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/0a/10/c23352565a6544bdc5353e0b15fc1c563352101f30e24bf500207a54df9a/filelock-3.18.0.tar.gz", hash = "sha256:adbc88eabb99d2fec8c9c1b229b171f18afa655400173ddc653d5d01501fb9f2", size = 18075, upload-time = "2025-03-14T07:11:40.47Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/4d/36/2a115987e2d8c300a974597416d9de88f2444426de9571f4b59b2cca3acc/filelock-3.18.0-py3-none-any.whl", hash = "sha256:c401f4f8377c4464e6db25fff06205fd89bdd83b65eb0488ed1b160f780e21de", size = 16215, upload-time = "2025-03-14T07:11:39.145Z" }, +] + +[[package]] +name = "flask" +version = "3.1.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "blinker" }, + { name = "click" }, + { name = "itsdangerous" }, + { name = "jinja2" }, + { name = "markupsafe" }, + { name = "werkzeug" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/c0/de/e47735752347f4128bcf354e0da07ef311a78244eba9e3dc1d4a5ab21a98/flask-3.1.1.tar.gz", hash = "sha256:284c7b8f2f58cb737f0cf1c30fd7eaf0ccfcde196099d24ecede3fc2005aa59e", size = 753440, upload-time = "2025-05-13T15:01:17.447Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3d/68/9d4508e893976286d2ead7f8f571314af6c2037af34853a30fd769c02e9d/flask-3.1.1-py3-none-any.whl", hash = "sha256:07aae2bb5eaf77993ef57e357491839f5fd9f4dc281593a81a9e4d79a24f295c", size = 103305, upload-time = "2025-05-13T15:01:15.591Z" }, +] + +[[package]] +name = "fonttools" +version = "4.58.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/9a/cf/4d037663e2a1fe30fddb655d755d76e18624be44ad467c07412c2319ab97/fonttools-4.58.0.tar.gz", hash = "sha256:27423d0606a2c7b336913254bf0b1193ebd471d5f725d665e875c5e88a011a43", size = 3514522, upload-time = "2025-05-10T17:36:35.886Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/72/07/06d01b7239d6632a0984ef29ab496928531862b827cd3aa78309b205850d/fonttools-4.58.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0bcaa65cddbc7d32c77bd0af0b41fdd6448bad0e84365ca79cf8923c27b21e46", size = 2731632, upload-time = "2025-05-10T17:34:55.331Z" }, + { url = "https://files.pythonhosted.org/packages/1d/c7/47d26d48d779b1b084ebc0d9ec07035167992578768237ef553a3eecc8db/fonttools-4.58.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:25590272f89e94ab5a292d518c549f3a88e6a34fa1193797b7047dfea111b048", size = 2303941, upload-time = "2025-05-10T17:34:58.624Z" }, + { url = "https://files.pythonhosted.org/packages/79/2e/ac80c0fea501f1aa93e2b22d72c97a8c0d14239582b7e8c722185a0540a7/fonttools-4.58.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:614435e9a87abe18bd7bc7ceeb8029e8f181c571317161e89fa3e6e0a4f20f5d", size = 4712776, upload-time = "2025-05-10T17:35:01.124Z" }, + { url = "https://files.pythonhosted.org/packages/f2/5c/b41f9c940dc397ecb41765654efc76e06782bfe0783c3e2affc534be181c/fonttools-4.58.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0154bd86d9a9e880f6e937e4d99c2139a624428dd9852072e12d7a85c79d611e", size = 4743251, upload-time = "2025-05-10T17:35:03.815Z" }, + { url = "https://files.pythonhosted.org/packages/3d/c4/0d3807d922a788b603a3fff622af53e732464b88baf0049a181a90f9b1c6/fonttools-4.58.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:5b3660df0b02c9cebbf7baf66952c2fd055e43e658aceb92cc95ba19e0a5c8b6", size = 4795635, upload-time = "2025-05-10T17:35:06.134Z" }, + { url = "https://files.pythonhosted.org/packages/46/74/627bed8e2c7e641c9c572f09970b0980e5513fd29e57b394d4aee2261e30/fonttools-4.58.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:c43b7f1d0b818427bb1cd20903d1168271abdcde10eb6247b1995c4e1ed63907", size = 4904720, upload-time = "2025-05-10T17:35:09.015Z" }, + { url = "https://files.pythonhosted.org/packages/f9/f2/7e5d082a98eb61fc0c3055e8a0e061a1eb9fc2d93f0661854bf6cb63c519/fonttools-4.58.0-cp310-cp310-win32.whl", hash = "sha256:5450f40c385cdfa21133245f57b9cf8ce45018a04630a98de61eed8da14b8325", size = 2188180, upload-time = "2025-05-10T17:35:11.494Z" }, + { url = "https://files.pythonhosted.org/packages/00/33/ffd914e3c3a585003d770457188c8eaf7266b7a1cceb6d234ab543a9f958/fonttools-4.58.0-cp310-cp310-win_amd64.whl", hash = "sha256:c0553431696eacafee9aefe94dc3c2bf5d658fbdc7fdba5b341c588f935471c6", size = 2233120, upload-time = "2025-05-10T17:35:13.896Z" }, + { url = "https://files.pythonhosted.org/packages/76/2e/9b9bd943872a50cb182382f8f4a99af92d76e800603d5f73e4343fdce61a/fonttools-4.58.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9345b1bb994476d6034996b31891c0c728c1059c05daa59f9ab57d2a4dce0f84", size = 2751920, upload-time = "2025-05-10T17:35:16.487Z" }, + { url = "https://files.pythonhosted.org/packages/9b/8c/e8d6375da893125f610826c2e30e6d2597dfb8dad256f8ff5a54f3089fda/fonttools-4.58.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1d93119ace1e2d39ff1340deb71097932f72b21c054bd3da727a3859825e24e5", size = 2313957, upload-time = "2025-05-10T17:35:18.906Z" }, + { url = "https://files.pythonhosted.org/packages/4f/1b/a29cb00c8c20164b24f88780e298fafd0bbfb25cf8bc7b10c4b69331ad5d/fonttools-4.58.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79c9e4f01bb04f19df272ae35314eb6349fdb2e9497a163cd22a21be999694bd", size = 4913808, upload-time = "2025-05-10T17:35:21.394Z" }, + { url = "https://files.pythonhosted.org/packages/d1/ab/9b9507b65b15190cbfe1ccd3c08067d79268d8312ef20948b16d9f5aa905/fonttools-4.58.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:62ecda1465d38248aaf9bee1c17a21cf0b16aef7d121d7d303dbb320a6fd49c2", size = 4935876, upload-time = "2025-05-10T17:35:23.849Z" }, + { url = "https://files.pythonhosted.org/packages/15/e4/1395853bc775b0ab06a1c61cf261779afda7baff3f65cf1197bbd21aa149/fonttools-4.58.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:29d0499bff12a26733c05c1bfd07e68465158201624b2fba4a40b23d96c43f94", size = 4974798, upload-time = "2025-05-10T17:35:26.189Z" }, + { url = "https://files.pythonhosted.org/packages/3c/b9/0358368ef5462f4653a198207b29885bee8d5e23c870f6125450ed88e693/fonttools-4.58.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:1871abdb0af582e2d96cc12d88889e3bfa796928f491ec14d34a2e58ca298c7e", size = 5093560, upload-time = "2025-05-10T17:35:28.577Z" }, + { url = "https://files.pythonhosted.org/packages/11/00/f64bc3659980c41eccf2c371e62eb15b40858f02a41a0e9c6258ef094388/fonttools-4.58.0-cp311-cp311-win32.whl", hash = "sha256:e292485d70402093eb94f6ab7669221743838b8bd4c1f45c84ca76b63338e7bf", size = 2186330, upload-time = "2025-05-10T17:35:31.733Z" }, + { url = "https://files.pythonhosted.org/packages/c8/a0/0287be13a1ec7733abf292ffbd76417cea78752d4ce10fecf92d8b1252d6/fonttools-4.58.0-cp311-cp311-win_amd64.whl", hash = "sha256:6df3755fcf9ad70a74ad3134bd5c9738f73c9bb701a304b1c809877b11fe701c", size = 2234687, upload-time = "2025-05-10T17:35:34.015Z" }, + { url = "https://files.pythonhosted.org/packages/6a/4e/1c6b35ec7c04d739df4cf5aace4b7ec284d6af2533a65de21972e2f237d9/fonttools-4.58.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:aa8316798f982c751d71f0025b372151ea36405733b62d0d94d5e7b8dd674fa6", size = 2737502, upload-time = "2025-05-10T17:35:36.436Z" }, + { url = "https://files.pythonhosted.org/packages/fc/72/c6fcafa3c9ed2b69991ae25a1ba7a3fec8bf74928a96e8229c37faa8eda2/fonttools-4.58.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c6db489511e867633b859b11aefe1b7c0d90281c5bdb903413edbb2ba77b97f1", size = 2307214, upload-time = "2025-05-10T17:35:38.939Z" }, + { url = "https://files.pythonhosted.org/packages/52/11/1015cedc9878da6d8d1758049749eef857b693e5828d477287a959c8650f/fonttools-4.58.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:107bdb2dacb1f627db3c4b77fb16d065a10fe88978d02b4fc327b9ecf8a62060", size = 4811136, upload-time = "2025-05-10T17:35:41.491Z" }, + { url = "https://files.pythonhosted.org/packages/32/b9/6a1bc1af6ec17eead5d32e87075e22d0dab001eace0b5a1542d38c6a9483/fonttools-4.58.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba7212068ab20f1128a0475f169068ba8e5b6e35a39ba1980b9f53f6ac9720ac", size = 4876598, upload-time = "2025-05-10T17:35:43.986Z" }, + { url = "https://files.pythonhosted.org/packages/d8/46/b14584c7ea65ad1609fb9632251016cda8a2cd66b15606753b9f888d3677/fonttools-4.58.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f95ea3b6a3b9962da3c82db73f46d6a6845a6c3f3f968f5293b3ac1864e771c2", size = 4872256, upload-time = "2025-05-10T17:35:46.617Z" }, + { url = "https://files.pythonhosted.org/packages/05/78/b2105a7812ca4ef9bf180cd741c82f4522316c652ce2a56f788e2eb54b62/fonttools-4.58.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:874f1225cc4ccfeac32009887f722d7f8b107ca5e867dcee067597eef9d4c80b", size = 5028710, upload-time = "2025-05-10T17:35:49.227Z" }, + { url = "https://files.pythonhosted.org/packages/8c/a9/a38c85ffd30d1f2c7a5460c8abfd1aa66e00c198df3ff0b08117f5c6fcd9/fonttools-4.58.0-cp312-cp312-win32.whl", hash = "sha256:5f3cde64ec99c43260e2e6c4fa70dfb0a5e2c1c1d27a4f4fe4618c16f6c9ff71", size = 2173593, upload-time = "2025-05-10T17:35:51.226Z" }, + { url = "https://files.pythonhosted.org/packages/66/48/29752962a74b7ed95da976b5a968bba1fe611a4a7e50b9fefa345e6e7025/fonttools-4.58.0-cp312-cp312-win_amd64.whl", hash = "sha256:2aee08e2818de45067109a207cbd1b3072939f77751ef05904d506111df5d824", size = 2223230, upload-time = "2025-05-10T17:35:53.653Z" }, + { url = "https://files.pythonhosted.org/packages/0c/d7/d77cae11c445916d767cace93ba8283b3f360197d95d7470b90a9e984e10/fonttools-4.58.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:4809790f2371d8a08e59e1ce2b734c954cf09742e75642d7f4c46cfdac488fdd", size = 2728320, upload-time = "2025-05-10T17:35:56.455Z" }, + { url = "https://files.pythonhosted.org/packages/77/48/7d8b3c519ef4b48081d40310262224a38785e39a8610ccb92a229a6f085d/fonttools-4.58.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b00f240280f204ce4546b05ff3515bf8ff47a9cae914c718490025ea2bb9b324", size = 2302570, upload-time = "2025-05-10T17:35:58.794Z" }, + { url = "https://files.pythonhosted.org/packages/2c/48/156b83eb8fb7261056e448bfda1b495b90e761b28ec23cee10e3e19f1967/fonttools-4.58.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5a62015ad463e1925544e9159dd6eefe33ebfb80938d5ab15d8b1c4b354ff47b", size = 4790066, upload-time = "2025-05-10T17:36:01.174Z" }, + { url = "https://files.pythonhosted.org/packages/60/49/aaecb1b3cea2b9b9c7cea6240d6bc8090feb5489a6fbf93cb68003be979b/fonttools-4.58.0-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ceef6f6ab58061a811967e3e32e630747fcb823dcc33a9a2c80e2d0d17cb292", size = 4861076, upload-time = "2025-05-10T17:36:03.663Z" }, + { url = "https://files.pythonhosted.org/packages/dc/c8/97cbb41bee81ea9daf6109e0f3f70a274a3c69418e5ac6b0193f5dacf506/fonttools-4.58.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c7be21ac52370b515cdbdd0f400803fd29432a4fa4ddb4244ac8b322e54f36c0", size = 4858394, upload-time = "2025-05-10T17:36:06.087Z" }, + { url = "https://files.pythonhosted.org/packages/4d/23/c2c231457361f869a7d7374a557208e303b469d48a4a697c0fb249733ea1/fonttools-4.58.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:85836be4c3c4aacf6fcb7a6f263896d0e9ce431da9fa6fe9213d70f221f131c9", size = 5002160, upload-time = "2025-05-10T17:36:08.178Z" }, + { url = "https://files.pythonhosted.org/packages/a9/e0/c2262f941a43b810c5c192db94b5d1ce8eda91bec2757f7e2416398f4072/fonttools-4.58.0-cp313-cp313-win32.whl", hash = "sha256:2b32b7130277bd742cb8c4379a6a303963597d22adea77a940343f3eadbcaa4c", size = 2171919, upload-time = "2025-05-10T17:36:10.644Z" }, + { url = "https://files.pythonhosted.org/packages/8f/ee/e4aa7bb4ce510ad57a808d321df1bbed1eeb6e1dfb20aaee1a5d9c076849/fonttools-4.58.0-cp313-cp313-win_amd64.whl", hash = "sha256:75e68ee2ec9aaa173cf5e33f243da1d51d653d5e25090f2722bc644a78db0f1a", size = 2222972, upload-time = "2025-05-10T17:36:12.495Z" }, + { url = "https://files.pythonhosted.org/packages/9b/1f/4417c26e26a1feab85a27e927f7a73d8aabc84544be8ba108ce4aa90eb1e/fonttools-4.58.0-py3-none-any.whl", hash = "sha256:c96c36880be2268be409df7b08c5b5dacac1827083461a6bc2cb07b8cbcec1d7", size = 1111440, upload-time = "2025-05-10T17:36:33.607Z" }, +] + +[[package]] +name = "fqdn" +version = "1.5.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/30/3e/a80a8c077fd798951169626cde3e239adeba7dab75deb3555716415bd9b0/fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f", size = 6015, upload-time = "2021-03-11T07:16:29.08Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/cf/58/8acf1b3e91c58313ce5cb67df61001fc9dcd21be4fadb76c1a2d540e09ed/fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014", size = 9121, upload-time = "2021-03-11T07:16:28.351Z" }, +] + +[[package]] +name = "frozenlist" +version = "1.6.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ee/f4/d744cba2da59b5c1d88823cf9e8a6c74e4659e2b27604ed973be2a0bf5ab/frozenlist-1.6.0.tar.gz", hash = "sha256:b99655c32c1c8e06d111e7f41c06c29a5318cb1835df23a45518e02a47c63b68", size = 42831, upload-time = "2025-04-17T22:38:53.099Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/44/03/22e4eb297981d48468c3d9982ab6076b10895106d3039302a943bb60fd70/frozenlist-1.6.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e6e558ea1e47fd6fa8ac9ccdad403e5dd5ecc6ed8dda94343056fa4277d5c65e", size = 160584, upload-time = "2025-04-17T22:35:48.163Z" }, + { url = "https://files.pythonhosted.org/packages/2b/b8/c213e35bcf1c20502c6fd491240b08cdd6ceec212ea54873f4cae99a51e4/frozenlist-1.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f4b3cd7334a4bbc0c472164f3744562cb72d05002cc6fcf58adb104630bbc352", size = 124099, upload-time = "2025-04-17T22:35:50.241Z" }, + { url = "https://files.pythonhosted.org/packages/2b/33/df17b921c2e37b971407b4045deeca6f6de7caf0103c43958da5e1b85e40/frozenlist-1.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9799257237d0479736e2b4c01ff26b5c7f7694ac9692a426cb717f3dc02fff9b", size = 122106, upload-time = "2025-04-17T22:35:51.697Z" }, + { url = "https://files.pythonhosted.org/packages/8e/09/93f0293e8a95c05eea7cf9277fef8929fb4d0a2234ad9394cd2a6b6a6bb4/frozenlist-1.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3a7bb0fe1f7a70fb5c6f497dc32619db7d2cdd53164af30ade2f34673f8b1fc", size = 287205, upload-time = "2025-04-17T22:35:53.441Z" }, + { url = "https://files.pythonhosted.org/packages/5e/34/35612f6f1b1ae0f66a4058599687d8b39352ade8ed329df0890fb553ea1e/frozenlist-1.6.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:36d2fc099229f1e4237f563b2a3e0ff7ccebc3999f729067ce4e64a97a7f2869", size = 295079, upload-time = "2025-04-17T22:35:55.617Z" }, + { url = "https://files.pythonhosted.org/packages/e5/ca/51577ef6cc4ec818aab94a0034ef37808d9017c2e53158fef8834dbb3a07/frozenlist-1.6.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f27a9f9a86dcf00708be82359db8de86b80d029814e6693259befe82bb58a106", size = 308068, upload-time = "2025-04-17T22:35:57.119Z" }, + { url = "https://files.pythonhosted.org/packages/36/27/c63a23863b9dcbd064560f0fea41b516bbbf4d2e8e7eec3ff880a96f0224/frozenlist-1.6.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:75ecee69073312951244f11b8627e3700ec2bfe07ed24e3a685a5979f0412d24", size = 305640, upload-time = "2025-04-17T22:35:58.667Z" }, + { url = "https://files.pythonhosted.org/packages/33/c2/91720b3562a6073ba604547a417c8d3bf5d33e4c8f1231f3f8ff6719e05c/frozenlist-1.6.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f2c7d5aa19714b1b01a0f515d078a629e445e667b9da869a3cd0e6fe7dec78bd", size = 278509, upload-time = "2025-04-17T22:36:00.199Z" }, + { url = "https://files.pythonhosted.org/packages/d0/6e/1b64671ab2fca1ebf32c5b500205724ac14c98b9bc1574b2ef55853f4d71/frozenlist-1.6.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:69bbd454f0fb23b51cadc9bdba616c9678e4114b6f9fa372d462ff2ed9323ec8", size = 287318, upload-time = "2025-04-17T22:36:02.179Z" }, + { url = "https://files.pythonhosted.org/packages/66/30/589a8d8395d5ebe22a6b21262a4d32876df822c9a152e9f2919967bb8e1a/frozenlist-1.6.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:7daa508e75613809c7a57136dec4871a21bca3080b3a8fc347c50b187df4f00c", size = 290923, upload-time = "2025-04-17T22:36:03.766Z" }, + { url = "https://files.pythonhosted.org/packages/4d/e0/2bd0d2a4a7062b7e4b5aad621697cd3579e5d1c39d99f2833763d91e746d/frozenlist-1.6.0-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:89ffdb799154fd4d7b85c56d5fa9d9ad48946619e0eb95755723fffa11022d75", size = 304847, upload-time = "2025-04-17T22:36:05.518Z" }, + { url = "https://files.pythonhosted.org/packages/70/a0/a1a44204398a4b308c3ee1b7bf3bf56b9dcbcc4e61c890e038721d1498db/frozenlist-1.6.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:920b6bd77d209931e4c263223381d63f76828bec574440f29eb497cf3394c249", size = 285580, upload-time = "2025-04-17T22:36:07.538Z" }, + { url = "https://files.pythonhosted.org/packages/78/ed/3862bc9abe05839a6a5f5bab8b6bbdf0fc9369505cb77cd15b8c8948f6a0/frozenlist-1.6.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:d3ceb265249fb401702fce3792e6b44c1166b9319737d21495d3611028d95769", size = 304033, upload-time = "2025-04-17T22:36:09.082Z" }, + { url = "https://files.pythonhosted.org/packages/2c/9c/1c48454a9e1daf810aa6d977626c894b406651ca79d722fce0f13c7424f1/frozenlist-1.6.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:52021b528f1571f98a7d4258c58aa8d4b1a96d4f01d00d51f1089f2e0323cb02", size = 307566, upload-time = "2025-04-17T22:36:10.561Z" }, + { url = "https://files.pythonhosted.org/packages/35/ef/cb43655c21f1bad5c42bcd540095bba6af78bf1e474b19367f6fd67d029d/frozenlist-1.6.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0f2ca7810b809ed0f1917293050163c7654cefc57a49f337d5cd9de717b8fad3", size = 295354, upload-time = "2025-04-17T22:36:12.181Z" }, + { url = "https://files.pythonhosted.org/packages/9f/59/d8069a688a0f54a968c73300d6013e4786b029bfec308664094130dcea66/frozenlist-1.6.0-cp310-cp310-win32.whl", hash = "sha256:0e6f8653acb82e15e5443dba415fb62a8732b68fe09936bb6d388c725b57f812", size = 115586, upload-time = "2025-04-17T22:36:14.01Z" }, + { url = "https://files.pythonhosted.org/packages/f9/a6/8f0cef021912ba7aa3b9920fe0a4557f6e85c41bbf71bb568cd744828df5/frozenlist-1.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:f1a39819a5a3e84304cd286e3dc62a549fe60985415851b3337b6f5cc91907f1", size = 120845, upload-time = "2025-04-17T22:36:15.383Z" }, + { url = "https://files.pythonhosted.org/packages/53/b5/bc883b5296ec902115c00be161da93bf661199c465ec4c483feec6ea4c32/frozenlist-1.6.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ae8337990e7a45683548ffb2fee1af2f1ed08169284cd829cdd9a7fa7470530d", size = 160912, upload-time = "2025-04-17T22:36:17.235Z" }, + { url = "https://files.pythonhosted.org/packages/6f/93/51b058b563d0704b39c56baa222828043aafcac17fd3734bec5dbeb619b1/frozenlist-1.6.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8c952f69dd524558694818a461855f35d36cc7f5c0adddce37e962c85d06eac0", size = 124315, upload-time = "2025-04-17T22:36:18.735Z" }, + { url = "https://files.pythonhosted.org/packages/c9/e0/46cd35219428d350558b874d595e132d1c17a9471a1bd0d01d518a261e7c/frozenlist-1.6.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8f5fef13136c4e2dee91bfb9a44e236fff78fc2cd9f838eddfc470c3d7d90afe", size = 122230, upload-time = "2025-04-17T22:36:20.6Z" }, + { url = "https://files.pythonhosted.org/packages/d1/0f/7ad2ce928ad06d6dd26a61812b959ded573d3e9d0ee6109d96c2be7172e9/frozenlist-1.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:716bbba09611b4663ecbb7cd022f640759af8259e12a6ca939c0a6acd49eedba", size = 314842, upload-time = "2025-04-17T22:36:22.088Z" }, + { url = "https://files.pythonhosted.org/packages/34/76/98cbbd8a20a5c3359a2004ae5e5b216af84a150ccbad67c8f8f30fb2ea91/frozenlist-1.6.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:7b8c4dc422c1a3ffc550b465090e53b0bf4839047f3e436a34172ac67c45d595", size = 304919, upload-time = "2025-04-17T22:36:24.247Z" }, + { url = "https://files.pythonhosted.org/packages/9a/fa/258e771ce3a44348c05e6b01dffc2bc67603fba95761458c238cd09a2c77/frozenlist-1.6.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b11534872256e1666116f6587a1592ef395a98b54476addb5e8d352925cb5d4a", size = 324074, upload-time = "2025-04-17T22:36:26.291Z" }, + { url = "https://files.pythonhosted.org/packages/d5/a4/047d861fd8c538210e12b208c0479912273f991356b6bdee7ea8356b07c9/frozenlist-1.6.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1c6eceb88aaf7221f75be6ab498dc622a151f5f88d536661af3ffc486245a626", size = 321292, upload-time = "2025-04-17T22:36:27.909Z" }, + { url = "https://files.pythonhosted.org/packages/c0/25/cfec8af758b4525676cabd36efcaf7102c1348a776c0d1ad046b8a7cdc65/frozenlist-1.6.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:62c828a5b195570eb4b37369fcbbd58e96c905768d53a44d13044355647838ff", size = 301569, upload-time = "2025-04-17T22:36:29.448Z" }, + { url = "https://files.pythonhosted.org/packages/87/2f/0c819372fa9f0c07b153124bf58683b8d0ca7bb73ea5ccde9b9ef1745beb/frozenlist-1.6.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e1c6bd2c6399920c9622362ce95a7d74e7f9af9bfec05fff91b8ce4b9647845a", size = 313625, upload-time = "2025-04-17T22:36:31.55Z" }, + { url = "https://files.pythonhosted.org/packages/50/5f/f0cf8b0fdedffdb76b3745aa13d5dbe404d63493cc211ce8250f2025307f/frozenlist-1.6.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:49ba23817781e22fcbd45fd9ff2b9b8cdb7b16a42a4851ab8025cae7b22e96d0", size = 312523, upload-time = "2025-04-17T22:36:33.078Z" }, + { url = "https://files.pythonhosted.org/packages/e1/6c/38c49108491272d3e84125bbabf2c2d0b304899b52f49f0539deb26ad18d/frozenlist-1.6.0-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:431ef6937ae0f853143e2ca67d6da76c083e8b1fe3df0e96f3802fd37626e606", size = 322657, upload-time = "2025-04-17T22:36:34.688Z" }, + { url = "https://files.pythonhosted.org/packages/bd/4b/3bd3bad5be06a9d1b04b1c22be80b5fe65b502992d62fab4bdb25d9366ee/frozenlist-1.6.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:9d124b38b3c299ca68433597ee26b7819209cb8a3a9ea761dfe9db3a04bba584", size = 303414, upload-time = "2025-04-17T22:36:36.363Z" }, + { url = "https://files.pythonhosted.org/packages/5b/89/7e225a30bef6e85dbfe22622c24afe932e9444de3b40d58b1ea589a14ef8/frozenlist-1.6.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:118e97556306402e2b010da1ef21ea70cb6d6122e580da64c056b96f524fbd6a", size = 320321, upload-time = "2025-04-17T22:36:38.16Z" }, + { url = "https://files.pythonhosted.org/packages/22/72/7e3acef4dd9e86366cb8f4d8f28e852c2b7e116927e9722b31a6f71ea4b0/frozenlist-1.6.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:fb3b309f1d4086b5533cf7bbcf3f956f0ae6469664522f1bde4feed26fba60f1", size = 323975, upload-time = "2025-04-17T22:36:40.289Z" }, + { url = "https://files.pythonhosted.org/packages/d8/85/e5da03d20507e13c66ce612c9792b76811b7a43e3320cce42d95b85ac755/frozenlist-1.6.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:54dece0d21dce4fdb188a1ffc555926adf1d1c516e493c2914d7c370e454bc9e", size = 316553, upload-time = "2025-04-17T22:36:42.045Z" }, + { url = "https://files.pythonhosted.org/packages/ac/8e/6c609cbd0580ae8a0661c408149f196aade7d325b1ae7adc930501b81acb/frozenlist-1.6.0-cp311-cp311-win32.whl", hash = "sha256:654e4ba1d0b2154ca2f096bed27461cf6160bc7f504a7f9a9ef447c293caf860", size = 115511, upload-time = "2025-04-17T22:36:44.067Z" }, + { url = "https://files.pythonhosted.org/packages/f2/13/a84804cfde6de12d44ed48ecbf777ba62b12ff09e761f76cdd1ff9e14bb1/frozenlist-1.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:3e911391bffdb806001002c1f860787542f45916c3baf764264a52765d5a5603", size = 120863, upload-time = "2025-04-17T22:36:45.465Z" }, + { url = "https://files.pythonhosted.org/packages/9c/8a/289b7d0de2fbac832ea80944d809759976f661557a38bb8e77db5d9f79b7/frozenlist-1.6.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:c5b9e42ace7d95bf41e19b87cec8f262c41d3510d8ad7514ab3862ea2197bfb1", size = 160193, upload-time = "2025-04-17T22:36:47.382Z" }, + { url = "https://files.pythonhosted.org/packages/19/80/2fd17d322aec7f430549f0669f599997174f93ee17929ea5b92781ec902c/frozenlist-1.6.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ca9973735ce9f770d24d5484dcb42f68f135351c2fc81a7a9369e48cf2998a29", size = 123831, upload-time = "2025-04-17T22:36:49.401Z" }, + { url = "https://files.pythonhosted.org/packages/99/06/f5812da431273f78c6543e0b2f7de67dfd65eb0a433978b2c9c63d2205e4/frozenlist-1.6.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6ac40ec76041c67b928ca8aaffba15c2b2ee3f5ae8d0cb0617b5e63ec119ca25", size = 121862, upload-time = "2025-04-17T22:36:51.899Z" }, + { url = "https://files.pythonhosted.org/packages/d0/31/9e61c6b5fc493cf24d54881731204d27105234d09878be1a5983182cc4a5/frozenlist-1.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:95b7a8a3180dfb280eb044fdec562f9b461614c0ef21669aea6f1d3dac6ee576", size = 316361, upload-time = "2025-04-17T22:36:53.402Z" }, + { url = "https://files.pythonhosted.org/packages/9d/55/22ca9362d4f0222324981470fd50192be200154d51509ee6eb9baa148e96/frozenlist-1.6.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:c444d824e22da6c9291886d80c7d00c444981a72686e2b59d38b285617cb52c8", size = 307115, upload-time = "2025-04-17T22:36:55.016Z" }, + { url = "https://files.pythonhosted.org/packages/ae/39/4fff42920a57794881e7bb3898dc7f5f539261711ea411b43bba3cde8b79/frozenlist-1.6.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bb52c8166499a8150bfd38478248572c924c003cbb45fe3bcd348e5ac7c000f9", size = 322505, upload-time = "2025-04-17T22:36:57.12Z" }, + { url = "https://files.pythonhosted.org/packages/55/f2/88c41f374c1e4cf0092a5459e5f3d6a1e17ed274c98087a76487783df90c/frozenlist-1.6.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b35298b2db9c2468106278537ee529719228950a5fdda686582f68f247d1dc6e", size = 322666, upload-time = "2025-04-17T22:36:58.735Z" }, + { url = "https://files.pythonhosted.org/packages/75/51/034eeb75afdf3fd03997856195b500722c0b1a50716664cde64e28299c4b/frozenlist-1.6.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d108e2d070034f9d57210f22fefd22ea0d04609fc97c5f7f5a686b3471028590", size = 302119, upload-time = "2025-04-17T22:37:00.512Z" }, + { url = "https://files.pythonhosted.org/packages/2b/a6/564ecde55ee633270a793999ef4fd1d2c2b32b5a7eec903b1012cb7c5143/frozenlist-1.6.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e1be9111cb6756868ac242b3c2bd1f09d9aea09846e4f5c23715e7afb647103", size = 316226, upload-time = "2025-04-17T22:37:02.102Z" }, + { url = "https://files.pythonhosted.org/packages/f1/c8/6c0682c32377f402b8a6174fb16378b683cf6379ab4d2827c580892ab3c7/frozenlist-1.6.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:94bb451c664415f02f07eef4ece976a2c65dcbab9c2f1705b7031a3a75349d8c", size = 312788, upload-time = "2025-04-17T22:37:03.578Z" }, + { url = "https://files.pythonhosted.org/packages/b6/b8/10fbec38f82c5d163ca1750bfff4ede69713badf236a016781cf1f10a0f0/frozenlist-1.6.0-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:d1a686d0b0949182b8faddea596f3fc11f44768d1f74d4cad70213b2e139d821", size = 325914, upload-time = "2025-04-17T22:37:05.213Z" }, + { url = "https://files.pythonhosted.org/packages/62/ca/2bf4f3a1bd40cdedd301e6ecfdbb291080d5afc5f9ce350c0739f773d6b9/frozenlist-1.6.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:ea8e59105d802c5a38bdbe7362822c522230b3faba2aa35c0fa1765239b7dd70", size = 305283, upload-time = "2025-04-17T22:37:06.985Z" }, + { url = "https://files.pythonhosted.org/packages/09/64/20cc13ccf94abc2a1f482f74ad210703dc78a590d0b805af1c9aa67f76f9/frozenlist-1.6.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:abc4e880a9b920bc5020bf6a431a6bb40589d9bca3975c980495f63632e8382f", size = 319264, upload-time = "2025-04-17T22:37:08.618Z" }, + { url = "https://files.pythonhosted.org/packages/20/ff/86c6a2bbe98cfc231519f5e6d712a0898488ceac804a917ce014f32e68f6/frozenlist-1.6.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:9a79713adfe28830f27a3c62f6b5406c37376c892b05ae070906f07ae4487046", size = 326482, upload-time = "2025-04-17T22:37:10.196Z" }, + { url = "https://files.pythonhosted.org/packages/2f/da/8e381f66367d79adca245d1d71527aac774e30e291d41ef161ce2d80c38e/frozenlist-1.6.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:9a0318c2068e217a8f5e3b85e35899f5a19e97141a45bb925bb357cfe1daf770", size = 318248, upload-time = "2025-04-17T22:37:12.284Z" }, + { url = "https://files.pythonhosted.org/packages/39/24/1a1976563fb476ab6f0fa9fefaac7616a4361dbe0461324f9fd7bf425dbe/frozenlist-1.6.0-cp312-cp312-win32.whl", hash = "sha256:853ac025092a24bb3bf09ae87f9127de9fe6e0c345614ac92536577cf956dfcc", size = 115161, upload-time = "2025-04-17T22:37:13.902Z" }, + { url = "https://files.pythonhosted.org/packages/80/2e/fb4ed62a65f8cd66044706b1013f0010930d8cbb0729a2219561ea075434/frozenlist-1.6.0-cp312-cp312-win_amd64.whl", hash = "sha256:2bdfe2d7e6c9281c6e55523acd6c2bf77963cb422fdc7d142fb0cb6621b66878", size = 120548, upload-time = "2025-04-17T22:37:15.326Z" }, + { url = "https://files.pythonhosted.org/packages/6f/e5/04c7090c514d96ca00887932417f04343ab94904a56ab7f57861bf63652d/frozenlist-1.6.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:1d7fb014fe0fbfee3efd6a94fc635aeaa68e5e1720fe9e57357f2e2c6e1a647e", size = 158182, upload-time = "2025-04-17T22:37:16.837Z" }, + { url = "https://files.pythonhosted.org/packages/e9/8f/60d0555c61eec855783a6356268314d204137f5e0c53b59ae2fc28938c99/frozenlist-1.6.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:01bcaa305a0fdad12745502bfd16a1c75b14558dabae226852f9159364573117", size = 122838, upload-time = "2025-04-17T22:37:18.352Z" }, + { url = "https://files.pythonhosted.org/packages/5a/a7/d0ec890e3665b4b3b7c05dc80e477ed8dc2e2e77719368e78e2cd9fec9c8/frozenlist-1.6.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:8b314faa3051a6d45da196a2c495e922f987dc848e967d8cfeaee8a0328b1cd4", size = 120980, upload-time = "2025-04-17T22:37:19.857Z" }, + { url = "https://files.pythonhosted.org/packages/cc/19/9b355a5e7a8eba903a008579964192c3e427444752f20b2144b10bb336df/frozenlist-1.6.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da62fecac21a3ee10463d153549d8db87549a5e77eefb8c91ac84bb42bb1e4e3", size = 305463, upload-time = "2025-04-17T22:37:21.328Z" }, + { url = "https://files.pythonhosted.org/packages/9c/8d/5b4c758c2550131d66935ef2fa700ada2461c08866aef4229ae1554b93ca/frozenlist-1.6.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:d1eb89bf3454e2132e046f9599fbcf0a4483ed43b40f545551a39316d0201cd1", size = 297985, upload-time = "2025-04-17T22:37:23.55Z" }, + { url = "https://files.pythonhosted.org/packages/48/2c/537ec09e032b5865715726b2d1d9813e6589b571d34d01550c7aeaad7e53/frozenlist-1.6.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d18689b40cb3936acd971f663ccb8e2589c45db5e2c5f07e0ec6207664029a9c", size = 311188, upload-time = "2025-04-17T22:37:25.221Z" }, + { url = "https://files.pythonhosted.org/packages/31/2f/1aa74b33f74d54817055de9a4961eff798f066cdc6f67591905d4fc82a84/frozenlist-1.6.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e67ddb0749ed066b1a03fba812e2dcae791dd50e5da03be50b6a14d0c1a9ee45", size = 311874, upload-time = "2025-04-17T22:37:26.791Z" }, + { url = "https://files.pythonhosted.org/packages/bf/f0/cfec18838f13ebf4b37cfebc8649db5ea71a1b25dacd691444a10729776c/frozenlist-1.6.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fc5e64626e6682638d6e44398c9baf1d6ce6bc236d40b4b57255c9d3f9761f1f", size = 291897, upload-time = "2025-04-17T22:37:28.958Z" }, + { url = "https://files.pythonhosted.org/packages/ea/a5/deb39325cbbea6cd0a46db8ccd76150ae2fcbe60d63243d9df4a0b8c3205/frozenlist-1.6.0-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:437cfd39564744ae32ad5929e55b18ebd88817f9180e4cc05e7d53b75f79ce85", size = 305799, upload-time = "2025-04-17T22:37:30.889Z" }, + { url = "https://files.pythonhosted.org/packages/78/22/6ddec55c5243a59f605e4280f10cee8c95a449f81e40117163383829c241/frozenlist-1.6.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:62dd7df78e74d924952e2feb7357d826af8d2f307557a779d14ddf94d7311be8", size = 302804, upload-time = "2025-04-17T22:37:32.489Z" }, + { url = "https://files.pythonhosted.org/packages/5d/b7/d9ca9bab87f28855063c4d202936800219e39db9e46f9fb004d521152623/frozenlist-1.6.0-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:a66781d7e4cddcbbcfd64de3d41a61d6bdde370fc2e38623f30b2bd539e84a9f", size = 316404, upload-time = "2025-04-17T22:37:34.59Z" }, + { url = "https://files.pythonhosted.org/packages/a6/3a/1255305db7874d0b9eddb4fe4a27469e1fb63720f1fc6d325a5118492d18/frozenlist-1.6.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:482fe06e9a3fffbcd41950f9d890034b4a54395c60b5e61fae875d37a699813f", size = 295572, upload-time = "2025-04-17T22:37:36.337Z" }, + { url = "https://files.pythonhosted.org/packages/2a/f2/8d38eeee39a0e3a91b75867cc102159ecccf441deb6ddf67be96d3410b84/frozenlist-1.6.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:e4f9373c500dfc02feea39f7a56e4f543e670212102cc2eeb51d3a99c7ffbde6", size = 307601, upload-time = "2025-04-17T22:37:37.923Z" }, + { url = "https://files.pythonhosted.org/packages/38/04/80ec8e6b92f61ef085422d7b196822820404f940950dde5b2e367bede8bc/frozenlist-1.6.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:e69bb81de06827147b7bfbaeb284d85219fa92d9f097e32cc73675f279d70188", size = 314232, upload-time = "2025-04-17T22:37:39.669Z" }, + { url = "https://files.pythonhosted.org/packages/3a/58/93b41fb23e75f38f453ae92a2f987274c64637c450285577bd81c599b715/frozenlist-1.6.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:7613d9977d2ab4a9141dde4a149f4357e4065949674c5649f920fec86ecb393e", size = 308187, upload-time = "2025-04-17T22:37:41.662Z" }, + { url = "https://files.pythonhosted.org/packages/6a/a2/e64df5c5aa36ab3dee5a40d254f3e471bb0603c225f81664267281c46a2d/frozenlist-1.6.0-cp313-cp313-win32.whl", hash = "sha256:4def87ef6d90429f777c9d9de3961679abf938cb6b7b63d4a7eb8a268babfce4", size = 114772, upload-time = "2025-04-17T22:37:43.132Z" }, + { url = "https://files.pythonhosted.org/packages/a0/77/fead27441e749b2d574bb73d693530d59d520d4b9e9679b8e3cb779d37f2/frozenlist-1.6.0-cp313-cp313-win_amd64.whl", hash = "sha256:37a8a52c3dfff01515e9bbbee0e6063181362f9de3db2ccf9bc96189b557cbfd", size = 119847, upload-time = "2025-04-17T22:37:45.118Z" }, + { url = "https://files.pythonhosted.org/packages/df/bd/cc6d934991c1e5d9cafda83dfdc52f987c7b28343686aef2e58a9cf89f20/frozenlist-1.6.0-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:46138f5a0773d064ff663d273b309b696293d7a7c00a0994c5c13a5078134b64", size = 174937, upload-time = "2025-04-17T22:37:46.635Z" }, + { url = "https://files.pythonhosted.org/packages/f2/a2/daf945f335abdbfdd5993e9dc348ef4507436936ab3c26d7cfe72f4843bf/frozenlist-1.6.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:f88bc0a2b9c2a835cb888b32246c27cdab5740059fb3688852bf91e915399b91", size = 136029, upload-time = "2025-04-17T22:37:48.192Z" }, + { url = "https://files.pythonhosted.org/packages/51/65/4c3145f237a31247c3429e1c94c384d053f69b52110a0d04bfc8afc55fb2/frozenlist-1.6.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:777704c1d7655b802c7850255639672e90e81ad6fa42b99ce5ed3fbf45e338dd", size = 134831, upload-time = "2025-04-17T22:37:50.485Z" }, + { url = "https://files.pythonhosted.org/packages/77/38/03d316507d8dea84dfb99bdd515ea245628af964b2bf57759e3c9205cc5e/frozenlist-1.6.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85ef8d41764c7de0dcdaf64f733a27352248493a85a80661f3c678acd27e31f2", size = 392981, upload-time = "2025-04-17T22:37:52.558Z" }, + { url = "https://files.pythonhosted.org/packages/37/02/46285ef9828f318ba400a51d5bb616ded38db8466836a9cfa39f3903260b/frozenlist-1.6.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:da5cb36623f2b846fb25009d9d9215322318ff1c63403075f812b3b2876c8506", size = 371999, upload-time = "2025-04-17T22:37:54.092Z" }, + { url = "https://files.pythonhosted.org/packages/0d/64/1212fea37a112c3c5c05bfb5f0a81af4836ce349e69be75af93f99644da9/frozenlist-1.6.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cbb56587a16cf0fb8acd19e90ff9924979ac1431baea8681712716a8337577b0", size = 392200, upload-time = "2025-04-17T22:37:55.951Z" }, + { url = "https://files.pythonhosted.org/packages/81/ce/9a6ea1763e3366e44a5208f76bf37c76c5da570772375e4d0be85180e588/frozenlist-1.6.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c6154c3ba59cda3f954c6333025369e42c3acd0c6e8b6ce31eb5c5b8116c07e0", size = 390134, upload-time = "2025-04-17T22:37:57.633Z" }, + { url = "https://files.pythonhosted.org/packages/bc/36/939738b0b495b2c6d0c39ba51563e453232813042a8d908b8f9544296c29/frozenlist-1.6.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2e8246877afa3f1ae5c979fe85f567d220f86a50dc6c493b9b7d8191181ae01e", size = 365208, upload-time = "2025-04-17T22:37:59.742Z" }, + { url = "https://files.pythonhosted.org/packages/b4/8b/939e62e93c63409949c25220d1ba8e88e3960f8ef6a8d9ede8f94b459d27/frozenlist-1.6.0-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7b0f6cce16306d2e117cf9db71ab3a9e8878a28176aeaf0dbe35248d97b28d0c", size = 385548, upload-time = "2025-04-17T22:38:01.416Z" }, + { url = "https://files.pythonhosted.org/packages/62/38/22d2873c90102e06a7c5a3a5b82ca47e393c6079413e8a75c72bff067fa8/frozenlist-1.6.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:1b8e8cd8032ba266f91136d7105706ad57770f3522eac4a111d77ac126a25a9b", size = 391123, upload-time = "2025-04-17T22:38:03.049Z" }, + { url = "https://files.pythonhosted.org/packages/44/78/63aaaf533ee0701549500f6d819be092c6065cb5c577edb70c09df74d5d0/frozenlist-1.6.0-cp313-cp313t-musllinux_1_2_armv7l.whl", hash = "sha256:e2ada1d8515d3ea5378c018a5f6d14b4994d4036591a52ceaf1a1549dec8e1ad", size = 394199, upload-time = "2025-04-17T22:38:04.776Z" }, + { url = "https://files.pythonhosted.org/packages/54/45/71a6b48981d429e8fbcc08454dc99c4c2639865a646d549812883e9c9dd3/frozenlist-1.6.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:cdb2c7f071e4026c19a3e32b93a09e59b12000751fc9b0b7758da899e657d215", size = 373854, upload-time = "2025-04-17T22:38:06.576Z" }, + { url = "https://files.pythonhosted.org/packages/3f/f3/dbf2a5e11736ea81a66e37288bf9f881143a7822b288a992579ba1b4204d/frozenlist-1.6.0-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:03572933a1969a6d6ab509d509e5af82ef80d4a5d4e1e9f2e1cdd22c77a3f4d2", size = 395412, upload-time = "2025-04-17T22:38:08.197Z" }, + { url = "https://files.pythonhosted.org/packages/b3/f1/c63166806b331f05104d8ea385c4acd511598568b1f3e4e8297ca54f2676/frozenlist-1.6.0-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:77effc978947548b676c54bbd6a08992759ea6f410d4987d69feea9cd0919911", size = 394936, upload-time = "2025-04-17T22:38:10.056Z" }, + { url = "https://files.pythonhosted.org/packages/ef/ea/4f3e69e179a430473eaa1a75ff986526571215fefc6b9281cdc1f09a4eb8/frozenlist-1.6.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:a2bda8be77660ad4089caf2223fdbd6db1858462c4b85b67fbfa22102021e497", size = 391459, upload-time = "2025-04-17T22:38:11.826Z" }, + { url = "https://files.pythonhosted.org/packages/d3/c3/0fc2c97dea550df9afd072a37c1e95421652e3206bbeaa02378b24c2b480/frozenlist-1.6.0-cp313-cp313t-win32.whl", hash = "sha256:a4d96dc5bcdbd834ec6b0f91027817214216b5b30316494d2b1aebffb87c534f", size = 128797, upload-time = "2025-04-17T22:38:14.013Z" }, + { url = "https://files.pythonhosted.org/packages/ae/f5/79c9320c5656b1965634fe4be9c82b12a3305bdbc58ad9cb941131107b20/frozenlist-1.6.0-cp313-cp313t-win_amd64.whl", hash = "sha256:e18036cb4caa17ea151fd5f3d70be9d354c99eb8cf817a3ccde8a7873b074348", size = 134709, upload-time = "2025-04-17T22:38:15.551Z" }, + { url = "https://files.pythonhosted.org/packages/71/3e/b04a0adda73bd52b390d730071c0d577073d3d26740ee1bad25c3ad0f37b/frozenlist-1.6.0-py3-none-any.whl", hash = "sha256:535eec9987adb04701266b92745d6cdcef2e77669299359c3009c3404dd5d191", size = 12404, upload-time = "2025-04-17T22:38:51.668Z" }, +] + +[[package]] +name = "fsspec" +version = "2025.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/34/f4/5721faf47b8c499e776bc34c6a8fc17efdf7fdef0b00f398128bc5dcb4ac/fsspec-2025.3.0.tar.gz", hash = "sha256:a935fd1ea872591f2b5148907d103488fc523295e6c64b835cfad8c3eca44972", size = 298491, upload-time = "2025-03-07T21:47:56.461Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/56/53/eb690efa8513166adef3e0669afd31e95ffde69fb3c52ec2ac7223ed6018/fsspec-2025.3.0-py3-none-any.whl", hash = "sha256:efb87af3efa9103f94ca91a7f8cb7a4df91af9f74fc106c9c7ea0efd7277c1b3", size = 193615, upload-time = "2025-03-07T21:47:54.809Z" }, +] + +[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 = "3.1.44" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "gitdb" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/c0/89/37df0b71473153574a5cdef8f242de422a0f5d26d7a9e231e6f169b4ad14/gitpython-3.1.44.tar.gz", hash = "sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269", size = 214196, upload-time = "2025-01-02T07:32:43.59Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1d/9a/4114a9057db2f1462d5c8f8390ab7383925fe1ac012eaa42402ad65c2963/GitPython-3.1.44-py3-none-any.whl", hash = "sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110", size = 207599, upload-time = "2025-01-02T07:32:40.731Z" }, +] + +[[package]] +name = "grpcio" +version = "1.71.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/1c/95/aa11fc09a85d91fbc7dd405dcb2a1e0256989d67bf89fa65ae24b3ba105a/grpcio-1.71.0.tar.gz", hash = "sha256:2b85f7820475ad3edec209d3d89a7909ada16caab05d3f2e08a7e8ae3200a55c", size = 12549828, upload-time = "2025-03-10T19:28:49.203Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7c/c5/ef610b3f988cc0cc67b765f72b8e2db06a1db14e65acb5ae7810a6b7042e/grpcio-1.71.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:c200cb6f2393468142eb50ab19613229dcc7829b5ccee8b658a36005f6669fdd", size = 5210643, upload-time = "2025-03-10T19:24:11.278Z" }, + { url = "https://files.pythonhosted.org/packages/bf/de/c84293c961622df302c0d5d07ec6e2d4cd3874ea42f602be2df09c4ad44f/grpcio-1.71.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:b2266862c5ad664a380fbbcdbdb8289d71464c42a8c29053820ee78ba0119e5d", size = 11308962, upload-time = "2025-03-10T19:24:14.766Z" }, + { url = "https://files.pythonhosted.org/packages/7c/38/04c9e0dc8c904570c80faa1f1349b190b63e45d6b2782ec8567b050efa9d/grpcio-1.71.0-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:0ab8b2864396663a5b0b0d6d79495657ae85fa37dcb6498a2669d067c65c11ea", size = 5699236, upload-time = "2025-03-10T19:24:17.214Z" }, + { url = "https://files.pythonhosted.org/packages/95/96/e7be331d1298fa605ea7c9ceafc931490edd3d5b33c4f695f1a0667f3491/grpcio-1.71.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c30f393f9d5ff00a71bb56de4aa75b8fe91b161aeb61d39528db6b768d7eac69", size = 6339767, upload-time = "2025-03-10T19:24:18.977Z" }, + { url = "https://files.pythonhosted.org/packages/5d/b7/7e7b7bb6bb18baf156fd4f2f5b254150dcdd6cbf0def1ee427a2fb2bfc4d/grpcio-1.71.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f250ff44843d9a0615e350c77f890082102a0318d66a99540f54769c8766ab73", size = 5943028, upload-time = "2025-03-10T19:24:21.746Z" }, + { url = "https://files.pythonhosted.org/packages/13/aa/5fb756175995aeb47238d706530772d9a7ac8e73bcca1b47dc145d02c95f/grpcio-1.71.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e6d8de076528f7c43a2f576bc311799f89d795aa6c9b637377cc2b1616473804", size = 6031841, upload-time = "2025-03-10T19:24:23.912Z" }, + { url = "https://files.pythonhosted.org/packages/54/93/172783e01eed61f7f180617b7fa4470f504e383e32af2587f664576a7101/grpcio-1.71.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:9b91879d6da1605811ebc60d21ab6a7e4bae6c35f6b63a061d61eb818c8168f6", size = 6651039, upload-time = "2025-03-10T19:24:26.075Z" }, + { url = "https://files.pythonhosted.org/packages/6f/99/62654b220a27ed46d3313252214f4bc66261143dc9b58004085cd0646753/grpcio-1.71.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f71574afdf944e6652203cd1badcda195b2a27d9c83e6d88dc1ce3cfb73b31a5", size = 6198465, upload-time = "2025-03-10T19:24:27.716Z" }, + { url = "https://files.pythonhosted.org/packages/68/35/96116de833b330abe4412cc94edc68f99ed2fa3e39d8713ff307b3799e81/grpcio-1.71.0-cp310-cp310-win32.whl", hash = "sha256:8997d6785e93308f277884ee6899ba63baafa0dfb4729748200fcc537858a509", size = 3620382, upload-time = "2025-03-10T19:24:29.833Z" }, + { url = "https://files.pythonhosted.org/packages/b7/09/f32ef637e386f3f2c02effac49699229fa560ce9007682d24e9e212d2eb4/grpcio-1.71.0-cp310-cp310-win_amd64.whl", hash = "sha256:7d6ac9481d9d0d129224f6d5934d5832c4b1cddb96b59e7eba8416868909786a", size = 4280302, upload-time = "2025-03-10T19:24:31.569Z" }, + { url = "https://files.pythonhosted.org/packages/63/04/a085f3ad4133426f6da8c1becf0749872a49feb625a407a2e864ded3fb12/grpcio-1.71.0-cp311-cp311-linux_armv7l.whl", hash = "sha256:d6aa986318c36508dc1d5001a3ff169a15b99b9f96ef5e98e13522c506b37eef", size = 5210453, upload-time = "2025-03-10T19:24:33.342Z" }, + { url = "https://files.pythonhosted.org/packages/b4/d5/0bc53ed33ba458de95020970e2c22aa8027b26cc84f98bea7fcad5d695d1/grpcio-1.71.0-cp311-cp311-macosx_10_14_universal2.whl", hash = "sha256:d2c170247315f2d7e5798a22358e982ad6eeb68fa20cf7a820bb74c11f0736e7", size = 11347567, upload-time = "2025-03-10T19:24:35.215Z" }, + { url = "https://files.pythonhosted.org/packages/e3/6d/ce334f7e7a58572335ccd61154d808fe681a4c5e951f8a1ff68f5a6e47ce/grpcio-1.71.0-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:e6f83a583ed0a5b08c5bc7a3fe860bb3c2eac1f03f1f63e0bc2091325605d2b7", size = 5696067, upload-time = "2025-03-10T19:24:37.988Z" }, + { url = "https://files.pythonhosted.org/packages/05/4a/80befd0b8b1dc2b9ac5337e57473354d81be938f87132e147c4a24a581bd/grpcio-1.71.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4be74ddeeb92cc87190e0e376dbc8fc7736dbb6d3d454f2fa1f5be1dee26b9d7", size = 6348377, upload-time = "2025-03-10T19:24:40.361Z" }, + { url = "https://files.pythonhosted.org/packages/c7/67/cbd63c485051eb78663355d9efd1b896cfb50d4a220581ec2cb9a15cd750/grpcio-1.71.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4dd0dfbe4d5eb1fcfec9490ca13f82b089a309dc3678e2edabc144051270a66e", size = 5940407, upload-time = "2025-03-10T19:24:42.685Z" }, + { url = "https://files.pythonhosted.org/packages/98/4b/7a11aa4326d7faa499f764eaf8a9b5a0eb054ce0988ee7ca34897c2b02ae/grpcio-1.71.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:a2242d6950dc892afdf9e951ed7ff89473aaf744b7d5727ad56bdaace363722b", size = 6030915, upload-time = "2025-03-10T19:24:44.463Z" }, + { url = "https://files.pythonhosted.org/packages/eb/a2/cdae2d0e458b475213a011078b0090f7a1d87f9a68c678b76f6af7c6ac8c/grpcio-1.71.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:0fa05ee31a20456b13ae49ad2e5d585265f71dd19fbd9ef983c28f926d45d0a7", size = 6648324, upload-time = "2025-03-10T19:24:46.287Z" }, + { url = "https://files.pythonhosted.org/packages/27/df/f345c8daaa8d8574ce9869f9b36ca220c8845923eb3087e8f317eabfc2a8/grpcio-1.71.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3d081e859fb1ebe176de33fc3adb26c7d46b8812f906042705346b314bde32c3", size = 6197839, upload-time = "2025-03-10T19:24:48.565Z" }, + { url = "https://files.pythonhosted.org/packages/f2/2c/cd488dc52a1d0ae1bad88b0d203bc302efbb88b82691039a6d85241c5781/grpcio-1.71.0-cp311-cp311-win32.whl", hash = "sha256:d6de81c9c00c8a23047136b11794b3584cdc1460ed7cbc10eada50614baa1444", size = 3619978, upload-time = "2025-03-10T19:24:50.518Z" }, + { url = "https://files.pythonhosted.org/packages/ee/3f/cf92e7e62ccb8dbdf977499547dfc27133124d6467d3a7d23775bcecb0f9/grpcio-1.71.0-cp311-cp311-win_amd64.whl", hash = "sha256:24e867651fc67717b6f896d5f0cac0ec863a8b5fb7d6441c2ab428f52c651c6b", size = 4282279, upload-time = "2025-03-10T19:24:52.313Z" }, + { url = "https://files.pythonhosted.org/packages/4c/83/bd4b6a9ba07825bd19c711d8b25874cd5de72c2a3fbf635c3c344ae65bd2/grpcio-1.71.0-cp312-cp312-linux_armv7l.whl", hash = "sha256:0ff35c8d807c1c7531d3002be03221ff9ae15712b53ab46e2a0b4bb271f38537", size = 5184101, upload-time = "2025-03-10T19:24:54.11Z" }, + { url = "https://files.pythonhosted.org/packages/31/ea/2e0d90c0853568bf714693447f5c73272ea95ee8dad107807fde740e595d/grpcio-1.71.0-cp312-cp312-macosx_10_14_universal2.whl", hash = "sha256:b78a99cd1ece4be92ab7c07765a0b038194ded2e0a26fd654591ee136088d8d7", size = 11310927, upload-time = "2025-03-10T19:24:56.1Z" }, + { url = "https://files.pythonhosted.org/packages/ac/bc/07a3fd8af80467390af491d7dc66882db43884128cdb3cc8524915e0023c/grpcio-1.71.0-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:dc1a1231ed23caac1de9f943d031f1bc38d0f69d2a3b243ea0d664fc1fbd7fec", size = 5654280, upload-time = "2025-03-10T19:24:58.55Z" }, + { url = "https://files.pythonhosted.org/packages/16/af/21f22ea3eed3d0538b6ef7889fce1878a8ba4164497f9e07385733391e2b/grpcio-1.71.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e6beeea5566092c5e3c4896c6d1d307fb46b1d4bdf3e70c8340b190a69198594", size = 6312051, upload-time = "2025-03-10T19:25:00.682Z" }, + { url = "https://files.pythonhosted.org/packages/49/9d/e12ddc726dc8bd1aa6cba67c85ce42a12ba5b9dd75d5042214a59ccf28ce/grpcio-1.71.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d5170929109450a2c031cfe87d6716f2fae39695ad5335d9106ae88cc32dc84c", size = 5910666, upload-time = "2025-03-10T19:25:03.01Z" }, + { url = "https://files.pythonhosted.org/packages/d9/e9/38713d6d67aedef738b815763c25f092e0454dc58e77b1d2a51c9d5b3325/grpcio-1.71.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:5b08d03ace7aca7b2fadd4baf291139b4a5f058805a8327bfe9aece7253b6d67", size = 6012019, upload-time = "2025-03-10T19:25:05.174Z" }, + { url = "https://files.pythonhosted.org/packages/80/da/4813cd7adbae6467724fa46c952d7aeac5e82e550b1c62ed2aeb78d444ae/grpcio-1.71.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:f903017db76bf9cc2b2d8bdd37bf04b505bbccad6be8a81e1542206875d0e9db", size = 6637043, upload-time = "2025-03-10T19:25:06.987Z" }, + { url = "https://files.pythonhosted.org/packages/52/ca/c0d767082e39dccb7985c73ab4cf1d23ce8613387149e9978c70c3bf3b07/grpcio-1.71.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:469f42a0b410883185eab4689060a20488a1a0a00f8bbb3cbc1061197b4c5a79", size = 6186143, upload-time = "2025-03-10T19:25:08.877Z" }, + { url = "https://files.pythonhosted.org/packages/00/61/7b2c8ec13303f8fe36832c13d91ad4d4ba57204b1c723ada709c346b2271/grpcio-1.71.0-cp312-cp312-win32.whl", hash = "sha256:ad9f30838550695b5eb302add33f21f7301b882937460dd24f24b3cc5a95067a", size = 3604083, upload-time = "2025-03-10T19:25:10.736Z" }, + { url = "https://files.pythonhosted.org/packages/fd/7c/1e429c5fb26122055d10ff9a1d754790fb067d83c633ff69eddcf8e3614b/grpcio-1.71.0-cp312-cp312-win_amd64.whl", hash = "sha256:652350609332de6dac4ece254e5d7e1ff834e203d6afb769601f286886f6f3a8", size = 4272191, upload-time = "2025-03-10T19:25:13.12Z" }, + { url = "https://files.pythonhosted.org/packages/04/dd/b00cbb45400d06b26126dcfdbdb34bb6c4f28c3ebbd7aea8228679103ef6/grpcio-1.71.0-cp313-cp313-linux_armv7l.whl", hash = "sha256:cebc1b34ba40a312ab480ccdb396ff3c529377a2fce72c45a741f7215bfe8379", size = 5184138, upload-time = "2025-03-10T19:25:15.101Z" }, + { url = "https://files.pythonhosted.org/packages/ed/0a/4651215983d590ef53aac40ba0e29dda941a02b097892c44fa3357e706e5/grpcio-1.71.0-cp313-cp313-macosx_10_14_universal2.whl", hash = "sha256:85da336e3649a3d2171e82f696b5cad2c6231fdd5bad52616476235681bee5b3", size = 11310747, upload-time = "2025-03-10T19:25:17.201Z" }, + { url = "https://files.pythonhosted.org/packages/57/a3/149615b247f321e13f60aa512d3509d4215173bdb982c9098d78484de216/grpcio-1.71.0-cp313-cp313-manylinux_2_17_aarch64.whl", hash = "sha256:f9a412f55bb6e8f3bb000e020dbc1e709627dcb3a56f6431fa7076b4c1aab0db", size = 5653991, upload-time = "2025-03-10T19:25:20.39Z" }, + { url = "https://files.pythonhosted.org/packages/ca/56/29432a3e8d951b5e4e520a40cd93bebaa824a14033ea8e65b0ece1da6167/grpcio-1.71.0-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:47be9584729534660416f6d2a3108aaeac1122f6b5bdbf9fd823e11fe6fbaa29", size = 6312781, upload-time = "2025-03-10T19:25:22.823Z" }, + { url = "https://files.pythonhosted.org/packages/a3/f8/286e81a62964ceb6ac10b10925261d4871a762d2a763fbf354115f9afc98/grpcio-1.71.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7c9c80ac6091c916db81131d50926a93ab162a7e97e4428ffc186b6e80d6dda4", size = 5910479, upload-time = "2025-03-10T19:25:24.828Z" }, + { url = "https://files.pythonhosted.org/packages/35/67/d1febb49ec0f599b9e6d4d0d44c2d4afdbed9c3e80deb7587ec788fcf252/grpcio-1.71.0-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:789d5e2a3a15419374b7b45cd680b1e83bbc1e52b9086e49308e2c0b5bbae6e3", size = 6013262, upload-time = "2025-03-10T19:25:26.987Z" }, + { url = "https://files.pythonhosted.org/packages/a1/04/f9ceda11755f0104a075ad7163fc0d96e2e3a9fe25ef38adfc74c5790daf/grpcio-1.71.0-cp313-cp313-musllinux_1_1_i686.whl", hash = "sha256:1be857615e26a86d7363e8a163fade914595c81fec962b3d514a4b1e8760467b", size = 6643356, upload-time = "2025-03-10T19:25:29.606Z" }, + { url = "https://files.pythonhosted.org/packages/fb/ce/236dbc3dc77cf9a9242adcf1f62538734ad64727fabf39e1346ad4bd5c75/grpcio-1.71.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:a76d39b5fafd79ed604c4be0a869ec3581a172a707e2a8d7a4858cb05a5a7637", size = 6186564, upload-time = "2025-03-10T19:25:31.537Z" }, + { url = "https://files.pythonhosted.org/packages/10/fd/b3348fce9dd4280e221f513dd54024e765b21c348bc475516672da4218e9/grpcio-1.71.0-cp313-cp313-win32.whl", hash = "sha256:74258dce215cb1995083daa17b379a1a5a87d275387b7ffe137f1d5131e2cfbb", size = 3601890, upload-time = "2025-03-10T19:25:33.421Z" }, + { url = "https://files.pythonhosted.org/packages/be/f8/db5d5f3fc7e296166286c2a397836b8b042f7ad1e11028d82b061701f0f7/grpcio-1.71.0-cp313-cp313-win_amd64.whl", hash = "sha256:22c3bc8d488c039a199f7a003a38cb7635db6656fa96437a8accde8322ce2366", size = 4273308, upload-time = "2025-03-10T19:25:35.79Z" }, +] + +[[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/a4/78/0dce00208f585fae675f40033ef9a30dedfa83665d5ac79f16beb4a0a6c2/hf_transfer-0.1.9-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:6e94e8822da79573c9b6ae4d6b2f847c59a7a06c5327d7db20751b68538dc4f6", size = 1386084, upload-time = "2025-01-07T10:04:47.874Z" }, + { url = "https://files.pythonhosted.org/packages/ea/2e/3d60b1a9e9f29a2152aa66c823bf5e399ae7be3fef310ff0de86779c5d2d/hf_transfer-0.1.9-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3ebc4ab9023414880c8b1d3c38174d1c9989eb5022d37e814fa91a3060123eb0", size = 1343558, upload-time = "2025-01-07T10:04:42.313Z" }, + { url = "https://files.pythonhosted.org/packages/fb/38/130a5ac3747f104033591bcac1c961cb1faadfdc91704f59b09c0b465ff2/hf_transfer-0.1.9-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8674026f21ed369aa2a0a4b46000aca850fc44cd2b54af33a172ce5325b4fc82", size = 3726676, upload-time = "2025-01-07T10:04:11.539Z" }, + { url = "https://files.pythonhosted.org/packages/15/a1/f4e27c5ad17aac616ae0849e2aede5aae31db8267a948c6b3eeb9fd96446/hf_transfer-0.1.9-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3a736dfbb2c84f5a2c975478ad200c0c8bfcb58a25a35db402678fb87ce17fa4", size = 3062920, upload-time = "2025-01-07T10:04:16.297Z" }, + { url = "https://files.pythonhosted.org/packages/8d/0d/727abdfba39bc3f1132cfa4c970588c2c0bb0d82fe2d645cc10f4e2f8e0b/hf_transfer-0.1.9-cp313-cp313t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:504b8427fd785dd8546d53b9fafe6e436bd7a3adf76b9dce556507650a7b4567", size = 3578681, upload-time = "2025-01-07T10:04:29.702Z" }, + { url = "https://files.pythonhosted.org/packages/50/d0/2b213eb1ea8b1252ccaf1a6c804d0aba03fea38aae4124df6a3acb70511a/hf_transfer-0.1.9-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2c7fc1b85f4d0f76e452765d7648c9f4bfd0aedb9ced2ae1ebfece2d8cfaf8e2", size = 3398837, upload-time = "2025-01-07T10:04:22.778Z" }, + { url = "https://files.pythonhosted.org/packages/8c/8a/79dbce9006e0bd6b74516f97451a7b7c64dbbb426df15d901dd438cfeee3/hf_transfer-0.1.9-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d991376f0eac70a60f0cbc95602aa708a6f7c8617f28b4945c1431d67b8e3c8", size = 3546986, upload-time = "2025-01-07T10:04:36.415Z" }, + { url = "https://files.pythonhosted.org/packages/a9/f7/9ac239b6ee6fe0bad130325d987a93ea58c4118e50479f0786f1733b37e8/hf_transfer-0.1.9-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:e6ac4eddcd99575ed3735ed911ddf9d1697e2bd13aa3f0ad7e3904dd4863842e", size = 4071715, upload-time = "2025-01-07T10:04:53.224Z" }, + { url = "https://files.pythonhosted.org/packages/d8/a3/0ed697279f5eeb7a40f279bd783cf50e6d0b91f24120dcf66ef2cf8822b4/hf_transfer-0.1.9-cp313-cp313t-musllinux_1_2_armv7l.whl", hash = "sha256:57fd9880da1ee0f47250f735f791fab788f0aa1ee36afc49f761349869c8b4d9", size = 3388081, upload-time = "2025-01-07T10:04:57.818Z" }, + { url = "https://files.pythonhosted.org/packages/dc/eb/47e477bdf1d784f31c7540db6cc8c354b777e51a186897a7abda34517f36/hf_transfer-0.1.9-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:5d561f0520f493c66b016d99ceabe69c23289aa90be38dd802d2aef279f15751", size = 3658654, upload-time = "2025-01-07T10:05:03.168Z" }, + { url = "https://files.pythonhosted.org/packages/45/07/6661e43fbee09594a8a5e9bb778107d95fe38dac4c653982afe03d32bd4d/hf_transfer-0.1.9-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:a5b366d34cd449fe9b20ef25941e6eef0460a2f74e7389f02e673e1f88ebd538", size = 3690551, upload-time = "2025-01-07T10:05:09.238Z" }, + { 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 = "1.1.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/95/be/58f20728a5b445f8b064e74f0618897b3439f5ef90934da1916b9dfac76f/hf_xet-1.1.2.tar.gz", hash = "sha256:3712d6d4819d3976a1c18e36db9f503e296283f9363af818f50703506ed63da3", size = 467009, upload-time = "2025-05-16T20:44:34.944Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/45/ae/f1a63f75d9886f18a80220ba31a1c7b9c4752f03aae452f358f538c6a991/hf_xet-1.1.2-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:dfd1873fd648488c70735cb60f7728512bca0e459e61fcd107069143cd798469", size = 2642559, upload-time = "2025-05-16T20:44:30.217Z" }, + { url = "https://files.pythonhosted.org/packages/50/ab/d2c83ae18f1015d926defd5bfbe94c62d15e93f900e6a192e318ee947105/hf_xet-1.1.2-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:29b584983b2d977c44157d9241dcf0fd50acde0b7bff8897fe4386912330090d", size = 2541360, upload-time = "2025-05-16T20:44:29.056Z" }, + { url = "https://files.pythonhosted.org/packages/9f/a7/693dc9f34f979e30a378125e2150a0b2d8d166e6d83ce3950eeb81e560aa/hf_xet-1.1.2-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b29ac84298147fe9164cc55ad994ba47399f90b5d045b0b803b99cf5f06d8ec", size = 5183081, upload-time = "2025-05-16T20:44:27.505Z" }, + { url = "https://files.pythonhosted.org/packages/3d/23/c48607883f692a36c0a7735f47f98bad32dbe459a32d1568c0f21576985d/hf_xet-1.1.2-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:d921ba32615676e436a0d15e162331abc9ed43d440916b1d836dc27ce1546173", size = 5356100, upload-time = "2025-05-16T20:44:25.681Z" }, + { url = "https://files.pythonhosted.org/packages/eb/5b/b2316c7f1076da0582b52ea228f68bea95e243c388440d1dc80297c9d813/hf_xet-1.1.2-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:d9b03c34e13c44893ab6e8fea18ee8d2a6878c15328dd3aabedbdd83ee9f2ed3", size = 5647688, upload-time = "2025-05-16T20:44:31.867Z" }, + { url = "https://files.pythonhosted.org/packages/2c/98/e6995f0fa579929da7795c961f403f4ee84af36c625963f52741d56f242c/hf_xet-1.1.2-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:01b18608955b3d826307d37da8bd38b28a46cd2d9908b3a3655d1363274f941a", size = 5322627, upload-time = "2025-05-16T20:44:33.677Z" }, + { url = "https://files.pythonhosted.org/packages/59/40/8f1d5a44a64d8bf9e3c19576e789f716af54875b46daae65426714e75db1/hf_xet-1.1.2-cp37-abi3-win_amd64.whl", hash = "sha256:3562902c81299b09f3582ddfb324400c6a901a2f3bc854f83556495755f4954c", size = 2739542, upload-time = "2025-05-16T20:44:36.287Z" }, +] + +[[package]] +name = "hjson" +version = "3.1.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/82/e5/0b56d723a76ca67abadbf7fb71609fb0ea7e6926e94fcca6c65a85b36a0e/hjson-3.1.0.tar.gz", hash = "sha256:55af475a27cf83a7969c808399d7bccdec8fb836a07ddbd574587593b9cdcf75", size = 40541, upload-time = "2022-08-13T02:53:01.919Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1f/7f/13cd798d180af4bf4c0ceddeefba2b864a63c71645abc0308b768d67bb81/hjson-3.1.0-py3-none-any.whl", hash = "sha256:65713cdcf13214fb554eb8b4ef803419733f4f5e551047c9b711098ab7186b89", size = 54018, upload-time = "2022-08-13T02:52:59.899Z" }, +] + +[[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 = "0.32.0" +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/f4/ca/8ee27c56ab650d9d3ea095f0ba12ceb202bc8ba7362429dc76c25438df2f/huggingface_hub-0.32.0.tar.gz", hash = "sha256:dd66c9365ea43049ec9b939bdcdb21a0051e1bd70026fc50304e4fb1bb6a15ba", size = 422255, upload-time = "2025-05-23T12:12:13.885Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3a/60/90aae898b0a9f3cd65f50718c33b1f1dbfb1527d10db754e99e14e2b0a1d/huggingface_hub-0.32.0-py3-none-any.whl", hash = "sha256:e56e94109649ce6ebdb59b4e393ee3543ec0eca2eab4f41b269e1d885c88d08c", size = 509297, upload-time = "2025-05-23T12:12:11.871Z" }, +] + +[[package]] +name = "identify" +version = "2.6.12" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/a2/88/d193a27416618628a5eea64e3223acd800b40749a96ffb322a9b55a49ed1/identify-2.6.12.tar.gz", hash = "sha256:d8de45749f1efb108badef65ee8386f0f7bb19a7f26185f74de6367bffbaf0e6", size = 99254, upload-time = "2025-05-23T20:37:53.3Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7a/cd/18f8da995b658420625f7ef13f037be53ae04ec5ad33f9b718240dcfd48c/identify-2.6.12-py2.py3-none-any.whl", hash = "sha256:ad9672d5a72e0d2ff7c5c8809b62dfa60458626352fb0eb7b55e69bdc45334a2", size = 99145, upload-time = "2025-05-23T20:37:51.495Z" }, +] + +[[package]] +name = "idna" +version = "3.10" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f1/70/7703c29685631f5a7590aa73f1f1d3fa9a380e654b86af429e0934a32f7d/idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9", size = 190490, upload-time = "2024-09-15T18:07:39.745Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/76/c6/c88e154df9c4e1a2a66ccf0005a88dfb2650c1dffb6f5ce603dfbd452ce3/idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3", size = 70442, upload-time = "2024-09-15T18:07:37.964Z" }, +] + +[[package]] +name = "inflect" +version = "7.5.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "more-itertools" }, + { name = "typeguard" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/78/c6/943357d44a21fd995723d07ccaddd78023eace03c1846049a2645d4324a3/inflect-7.5.0.tar.gz", hash = "sha256:faf19801c3742ed5a05a8ce388e0d8fe1a07f8d095c82201eb904f5d27ad571f", size = 73751, upload-time = "2024-12-28T17:11:18.897Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8a/eb/427ed2b20a38a4ee29f24dbe4ae2dafab198674fe9a85e3d6adf9e5f5f41/inflect-7.5.0-py3-none-any.whl", hash = "sha256:2aea70e5e70c35d8350b8097396ec155ffd68def678c7ff97f51aa69c1d92344", size = 35197, upload-time = "2024-12-28T17:11:15.931Z" }, +] + +[[package]] +name = "ipykernel" +version = "6.29.5" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "appnope", marker = "sys_platform == 'darwin'" }, + { name = "comm" }, + { name = "debugpy" }, + { name = "ipython", version = "8.36.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "ipython", version = "9.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "jupyter-client" }, + { name = "jupyter-core" }, + { name = "matplotlib-inline" }, + { name = "nest-asyncio" }, + { name = "packaging" }, + { name = "psutil" }, + { name = "pyzmq" }, + { name = "tornado" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/e9/5c/67594cb0c7055dc50814b21731c22a601101ea3b1b50a9a1b090e11f5d0f/ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215", size = 163367, upload-time = "2024-07-01T14:07:22.543Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/94/5c/368ae6c01c7628438358e6d337c19b05425727fbb221d2a3c4303c372f42/ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5", size = 117173, upload-time = "2024-07-01T14:07:19.603Z" }, +] + +[[package]] +name = "ipython" +version = "8.36.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11' and sys_platform == 'linux'", + "python_full_version < '3.11' and sys_platform != 'linux'", +] +dependencies = [ + { name = "colorama", marker = "python_full_version < '3.11' and sys_platform == 'win32'" }, + { name = "decorator", marker = "python_full_version < '3.11'" }, + { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, + { name = "jedi", marker = "python_full_version < '3.11'" }, + { name = "matplotlib-inline", marker = "python_full_version < '3.11'" }, + { name = "pexpect", marker = "python_full_version < '3.11' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, + { name = "prompt-toolkit", marker = "python_full_version < '3.11'" }, + { name = "pygments", marker = "python_full_version < '3.11'" }, + { name = "stack-data", marker = "python_full_version < '3.11'" }, + { name = "traitlets", marker = "python_full_version < '3.11'" }, + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/a2/9f/d9a73710df947b7804bd9d93509463fb3a89e0ddc99c9fcc67279cddbeb6/ipython-8.36.0.tar.gz", hash = "sha256:24658e9fe5c5c819455043235ba59cfffded4a35936eefceceab6b192f7092ff", size = 5604997, upload-time = "2025-04-25T18:03:38.031Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d6/d7/c1c9f371790b3a181e343c4815a361e5a0cc7d90ef6642d64ba5d05de289/ipython-8.36.0-py3-none-any.whl", hash = "sha256:12b913914d010dcffa2711505ec8be4bf0180742d97f1e5175e51f22086428c1", size = 831074, upload-time = "2025-04-25T18:03:34.951Z" }, +] + +[[package]] +name = "ipython" +version = "9.2.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.12' and sys_platform == 'linux'", + "python_full_version >= '3.12' and sys_platform != 'linux'", + "python_full_version == '3.11.*' and sys_platform == 'linux'", + "python_full_version == '3.11.*' and sys_platform != 'linux'", +] +dependencies = [ + { name = "colorama", marker = "python_full_version >= '3.11' and sys_platform == 'win32'" }, + { name = "decorator", marker = "python_full_version >= '3.11'" }, + { name = "ipython-pygments-lexers", marker = "python_full_version >= '3.11'" }, + { name = "jedi", marker = "python_full_version >= '3.11'" }, + { name = "matplotlib-inline", marker = "python_full_version >= '3.11'" }, + { name = "pexpect", marker = "python_full_version >= '3.11' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, + { name = "prompt-toolkit", marker = "python_full_version >= '3.11'" }, + { name = "pygments", marker = "python_full_version >= '3.11'" }, + { name = "stack-data", marker = "python_full_version >= '3.11'" }, + { name = "traitlets", marker = "python_full_version >= '3.11'" }, + { name = "typing-extensions", marker = "python_full_version == '3.11.*'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/9d/02/63a84444a7409b3c0acd1de9ffe524660e0e5d82ee473e78b45e5bfb64a4/ipython-9.2.0.tar.gz", hash = "sha256:62a9373dbc12f28f9feaf4700d052195bf89806279fc8ca11f3f54017d04751b", size = 4424394, upload-time = "2025-04-25T17:55:40.498Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/78/ce/5e897ee51b7d26ab4e47e5105e7368d40ce6cfae2367acdf3165396d50be/ipython-9.2.0-py3-none-any.whl", hash = "sha256:fef5e33c4a1ae0759e0bba5917c9db4eb8c53fee917b6a526bd973e1ca5159f6", size = 604277, upload-time = "2025-04-25T17:55:37.625Z" }, +] + +[[package]] +name = "ipython-pygments-lexers" +version = "1.1.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pygments", marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ef/4c/5dd1d8af08107f88c7f741ead7a40854b8ac24ddf9ae850afbcf698aa552/ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81", size = 8393, upload-time = "2025-01-17T11:24:34.505Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d9/33/1f075bf72b0b747cb3288d011319aaf64083cf2efef8354174e3ed4540e2/ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c", size = 8074, upload-time = "2025-01-17T11:24:33.271Z" }, +] + +[[package]] +name = "ipywidgets" +version = "8.1.7" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "comm" }, + { name = "ipython", version = "8.36.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "ipython", version = "9.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "jupyterlab-widgets" }, + { name = "traitlets" }, + { name = "widgetsnbextension" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/3e/48/d3dbac45c2814cb73812f98dd6b38bbcc957a4e7bb31d6ea9c03bf94ed87/ipywidgets-8.1.7.tar.gz", hash = "sha256:15f1ac050b9ccbefd45dccfbb2ef6bed0029d8278682d569d71b8dd96bee0376", size = 116721, upload-time = "2025-05-05T12:42:03.489Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/58/6a/9166369a2f092bd286d24e6307de555d63616e8ddb373ebad2b5635ca4cd/ipywidgets-8.1.7-py3-none-any.whl", hash = "sha256:764f2602d25471c213919b8a1997df04bef869251db4ca8efba1b76b1bd9f7bb", size = 139806, upload-time = "2025-05-05T12:41:56.833Z" }, +] + +[[package]] +name = "isoduration" +version = "20.11.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "arrow" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/7c/1a/3c8edc664e06e6bd06cce40c6b22da5f1429aa4224d0c590f3be21c91ead/isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9", size = 11649, upload-time = "2020-11-01T11:00:00.312Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7b/55/e5326141505c5d5e34c5e0935d2908a74e4561eca44108fbfb9c13d2911a/isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042", size = 11321, upload-time = "2020-11-01T10:59:58.02Z" }, +] + +[[package]] +name = "itsdangerous" +version = "2.2.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/9c/cb/8ac0172223afbccb63986cc25049b154ecfb5e85932587206f42317be31d/itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173", size = 54410, upload-time = "2024-04-16T21:28:15.614Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/04/96/92447566d16df59b2a776c0fb82dbc4d9e07cd95062562af01e408583fc4/itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef", size = 16234, upload-time = "2024-04-16T21:28:14.499Z" }, +] + +[[package]] +name = "jaxtyping" +version = "0.3.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "wadler-lindig" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/88/a8/416bd7ea110ec6b68e8868b0f99c985c735adcf7badc491d3c343937260a/jaxtyping-0.3.2.tar.gz", hash = "sha256:f30483fac4b42e915db8ad2414a85c3b63284aa7d3c100b96b59f755cf4a86ad", size = 44989, upload-time = "2025-04-23T09:48:16.907Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c9/b9/281e10e2d967ea5e481683eaec99f55ac5a61085ee60551c36942ef32bef/jaxtyping-0.3.2-py3-none-any.whl", hash = "sha256:6a020fd276226ddb5ac4f5725323843dd65e3c7e85c64fd62431e5f738c74e04", size = 55409, upload-time = "2025-04-23T09:48:15.924Z" }, +] + +[[package]] +name = "jedi" +version = "0.19.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "parso" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/72/3a/79a912fbd4d8dd6fbb02bf69afd3bb72cf0c729bb3063c6f4498603db17a/jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0", size = 1231287, upload-time = "2024-11-11T01:41:42.873Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c0/5a/9cac0c82afec3d09ccd97c8b6502d48f165f9124db81b4bcb90b4af974ee/jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9", size = 1572278, upload-time = "2024-11-11T01:41:40.175Z" }, +] + +[[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 = "joblib" +version = "1.5.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/dc/fe/0f5a938c54105553436dbff7a61dc4fed4b1b2c98852f8833beaf4d5968f/joblib-1.5.1.tar.gz", hash = "sha256:f4f86e351f39fe3d0d32a9f2c3d8af1ee4cec285aafcb27003dda5205576b444", size = 330475, upload-time = "2025-05-23T12:04:37.097Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7d/4f/1195bbac8e0c2acc5f740661631d8d750dc38d4a32b23ee5df3cde6f4e0d/joblib-1.5.1-py3-none-any.whl", hash = "sha256:4719a31f054c7d766948dcd83e9613686b27114f190f717cec7eaa2084f8a74a", size = 307746, upload-time = "2025-05-23T12:04:35.124Z" }, +] + +[[package]] +name = "json5" +version = "0.12.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/12/be/c6c745ec4c4539b25a278b70e29793f10382947df0d9efba2fa09120895d/json5-0.12.0.tar.gz", hash = "sha256:0b4b6ff56801a1c7dc817b0241bca4ce474a0e6a163bfef3fc594d3fd263ff3a", size = 51907, upload-time = "2025-04-03T16:33:13.201Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/41/9f/3500910d5a98549e3098807493851eeef2b89cdd3032227558a104dfe926/json5-0.12.0-py3-none-any.whl", hash = "sha256:6d37aa6c08b0609f16e1ec5ff94697e2cbbfbad5ac112afa05794da9ab7810db", size = 36079, upload-time = "2025-04-03T16:33:11.927Z" }, +] + +[[package]] +name = "jsonpointer" +version = "3.0.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/6a/0a/eebeb1fa92507ea94016a2a790b93c2ae41a7e18778f85471dc54475ed25/jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef", size = 9114, upload-time = "2024-06-10T19:24:42.462Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/71/92/5e77f98553e9e75130c78900d000368476aed74276eb8ae8796f65f00918/jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942", size = 7595, upload-time = "2024-06-10T19:24:40.698Z" }, +] + +[[package]] +name = "jsonschema" +version = "4.23.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "attrs" }, + { name = "jsonschema-specifications" }, + { name = "referencing" }, + { name = "rpds-py" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/38/2e/03362ee4034a4c917f697890ccd4aec0800ccf9ded7f511971c75451deec/jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4", size = 325778, upload-time = "2024-07-08T18:40:05.546Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/69/4a/4f9dbeb84e8850557c02365a0eee0649abe5eb1d84af92a25731c6c0f922/jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566", size = 88462, upload-time = "2024-07-08T18:40:00.165Z" }, +] + +[package.optional-dependencies] +format-nongpl = [ + { name = "fqdn" }, + { name = "idna" }, + { name = "isoduration" }, + { name = "jsonpointer" }, + { name = "rfc3339-validator" }, + { name = "rfc3986-validator" }, + { name = "uri-template" }, + { name = "webcolors" }, +] + +[[package]] +name = "jsonschema-specifications" +version = "2025.4.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "referencing" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/bf/ce/46fbd9c8119cfc3581ee5643ea49464d168028cfb5caff5fc0596d0cf914/jsonschema_specifications-2025.4.1.tar.gz", hash = "sha256:630159c9f4dbea161a6a2205c3011cc4f18ff381b189fff48bb39b9bf26ae608", size = 15513, upload-time = "2025-04-23T12:34:07.418Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/01/0e/b27cdbaccf30b890c40ed1da9fd4a3593a5cf94dae54fb34f8a4b74fcd3f/jsonschema_specifications-2025.4.1-py3-none-any.whl", hash = "sha256:4653bffbd6584f7de83a67e0d620ef16900b390ddc7939d56684d6c81e33f1af", size = 18437, upload-time = "2025-04-23T12:34:05.422Z" }, +] + +[[package]] +name = "jupyter" +version = "1.1.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "ipykernel" }, + { name = "ipywidgets" }, + { name = "jupyter-console" }, + { name = "jupyterlab" }, + { name = "nbconvert" }, + { name = "notebook" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/58/f3/af28ea964ab8bc1e472dba2e82627d36d470c51f5cd38c37502eeffaa25e/jupyter-1.1.1.tar.gz", hash = "sha256:d55467bceabdea49d7e3624af7e33d59c37fff53ed3a350e1ac957bed731de7a", size = 5714959, upload-time = "2024-08-30T07:15:48.299Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/38/64/285f20a31679bf547b75602702f7800e74dbabae36ef324f716c02804753/jupyter-1.1.1-py2.py3-none-any.whl", hash = "sha256:7a59533c22af65439b24bbe60373a4e95af8f16ac65a6c00820ad378e3f7cc83", size = 2657, upload-time = "2024-08-30T07:15:47.045Z" }, +] + +[[package]] +name = "jupyter-client" +version = "8.6.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-core" }, + { name = "python-dateutil" }, + { name = "pyzmq" }, + { name = "tornado" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/71/22/bf9f12fdaeae18019a468b68952a60fe6dbab5d67cd2a103cac7659b41ca/jupyter_client-8.6.3.tar.gz", hash = "sha256:35b3a0947c4a6e9d589eb97d7d4cd5e90f910ee73101611f01283732bd6d9419", size = 342019, upload-time = "2024-09-17T10:44:17.613Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/11/85/b0394e0b6fcccd2c1eeefc230978a6f8cb0c5df1e4cd3e7625735a0d7d1e/jupyter_client-8.6.3-py3-none-any.whl", hash = "sha256:e8a19cc986cc45905ac3362915f410f3af85424b4c0905e94fa5f2cb08e8f23f", size = 106105, upload-time = "2024-09-17T10:44:15.218Z" }, +] + +[[package]] +name = "jupyter-console" +version = "6.6.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "ipykernel" }, + { name = "ipython", version = "8.36.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "ipython", version = "9.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "jupyter-client" }, + { name = "jupyter-core" }, + { name = "prompt-toolkit" }, + { name = "pygments" }, + { name = "pyzmq" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/bd/2d/e2fd31e2fc41c14e2bcb6c976ab732597e907523f6b2420305f9fc7fdbdb/jupyter_console-6.6.3.tar.gz", hash = "sha256:566a4bf31c87adbfadf22cdf846e3069b59a71ed5da71d6ba4d8aaad14a53539", size = 34363, upload-time = "2023-03-06T14:13:31.02Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ca/77/71d78d58f15c22db16328a476426f7ac4a60d3a5a7ba3b9627ee2f7903d4/jupyter_console-6.6.3-py3-none-any.whl", hash = "sha256:309d33409fcc92ffdad25f0bcdf9a4a9daa61b6f341177570fdac03de5352485", size = 24510, upload-time = "2023-03-06T14:13:28.229Z" }, +] + +[[package]] +name = "jupyter-core" +version = "5.7.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "platformdirs" }, + { name = "pywin32", marker = "platform_python_implementation != 'PyPy' and sys_platform == 'win32'" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/00/11/b56381fa6c3f4cc5d2cf54a7dbf98ad9aa0b339ef7a601d6053538b079a7/jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9", size = 87629, upload-time = "2024-03-12T12:37:35.652Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c9/fb/108ecd1fe961941959ad0ee4e12ee7b8b1477247f30b1fdfd83ceaf017f0/jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409", size = 28965, upload-time = "2024-03-12T12:37:32.36Z" }, +] + +[[package]] +name = "jupyter-events" +version = "0.12.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jsonschema", extra = ["format-nongpl"] }, + { name = "packaging" }, + { name = "python-json-logger" }, + { name = "pyyaml" }, + { name = "referencing" }, + { name = "rfc3339-validator" }, + { name = "rfc3986-validator" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/9d/c3/306d090461e4cf3cd91eceaff84bede12a8e52cd821c2d20c9a4fd728385/jupyter_events-0.12.0.tar.gz", hash = "sha256:fc3fce98865f6784c9cd0a56a20644fc6098f21c8c33834a8d9fe383c17e554b", size = 62196, upload-time = "2025-02-03T17:23:41.485Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e2/48/577993f1f99c552f18a0428731a755e06171f9902fa118c379eb7c04ea22/jupyter_events-0.12.0-py3-none-any.whl", hash = "sha256:6464b2fa5ad10451c3d35fabc75eab39556ae1e2853ad0c0cc31b656731a97fb", size = 19430, upload-time = "2025-02-03T17:23:38.643Z" }, +] + +[[package]] +name = "jupyter-lsp" +version = "2.2.5" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-server" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/85/b4/3200b0b09c12bc3b72d943d923323c398eff382d1dcc7c0dbc8b74630e40/jupyter-lsp-2.2.5.tar.gz", hash = "sha256:793147a05ad446f809fd53ef1cd19a9f5256fd0a2d6b7ce943a982cb4f545001", size = 48741, upload-time = "2024-04-09T17:59:44.918Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/07/e0/7bd7cff65594fd9936e2f9385701e44574fc7d721331ff676ce440b14100/jupyter_lsp-2.2.5-py3-none-any.whl", hash = "sha256:45fbddbd505f3fbfb0b6cb2f1bc5e15e83ab7c79cd6e89416b248cb3c00c11da", size = 69146, upload-time = "2024-04-09T17:59:43.388Z" }, +] + +[[package]] +name = "jupyter-server" +version = "2.16.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "anyio" }, + { name = "argon2-cffi" }, + { name = "jinja2" }, + { name = "jupyter-client" }, + { name = "jupyter-core" }, + { name = "jupyter-events" }, + { name = "jupyter-server-terminals" }, + { name = "nbconvert" }, + { name = "nbformat" }, + { name = "overrides" }, + { name = "packaging" }, + { name = "prometheus-client" }, + { name = "pywinpty", marker = "os_name == 'nt' and sys_platform != 'linux'" }, + { name = "pyzmq" }, + { name = "send2trash" }, + { name = "terminado" }, + { name = "tornado" }, + { name = "traitlets" }, + { name = "websocket-client" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/41/c8/ba2bbcd758c47f1124c4ca14061e8ce60d9c6fd537faee9534a95f83521a/jupyter_server-2.16.0.tar.gz", hash = "sha256:65d4b44fdf2dcbbdfe0aa1ace4a842d4aaf746a2b7b168134d5aaed35621b7f6", size = 728177, upload-time = "2025-05-12T16:44:46.245Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/46/1f/5ebbced977171d09a7b0c08a285ff9a20aafb9c51bde07e52349ff1ddd71/jupyter_server-2.16.0-py3-none-any.whl", hash = "sha256:3d8db5be3bc64403b1c65b400a1d7f4647a5ce743f3b20dbdefe8ddb7b55af9e", size = 386904, upload-time = "2025-05-12T16:44:43.335Z" }, +] + +[[package]] +name = "jupyter-server-terminals" +version = "0.5.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pywinpty", marker = "os_name == 'nt' and sys_platform != 'linux'" }, + { name = "terminado" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/fc/d5/562469734f476159e99a55426d697cbf8e7eb5efe89fb0e0b4f83a3d3459/jupyter_server_terminals-0.5.3.tar.gz", hash = "sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269", size = 31430, upload-time = "2024-03-12T14:37:03.049Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/07/2d/2b32cdbe8d2a602f697a649798554e4f072115438e92249624e532e8aca6/jupyter_server_terminals-0.5.3-py3-none-any.whl", hash = "sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa", size = 13656, upload-time = "2024-03-12T14:37:00.708Z" }, +] + +[[package]] +name = "jupyterlab" +version = "4.4.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "async-lru" }, + { name = "httpx" }, + { name = "ipykernel" }, + { name = "jinja2" }, + { name = "jupyter-core" }, + { name = "jupyter-lsp" }, + { name = "jupyter-server" }, + { name = "jupyterlab-server" }, + { name = "notebook-shim" }, + { name = "packaging" }, + { name = "setuptools" }, + { name = "tomli", marker = "python_full_version < '3.11'" }, + { name = "tornado" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/f4/3c/12a8b27ff2c3b4005bbb5e11c7747246965776d2b821193e53ffd61f1332/jupyterlab-4.4.2.tar.gz", hash = "sha256:afa9caf28c0cb966488be18e5e8daba9f018a1c4273a406b7d5006344cbc6d16", size = 23030818, upload-time = "2025-05-06T12:29:40.992Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f6/ae/fbb93f4990b7648849b19112d8b3e7427bbfc9c5cc8fdc6bf14c0e86d104/jupyterlab-4.4.2-py3-none-any.whl", hash = "sha256:857111a50bed68542bf55dca784522fe728f9f88b4fe69e8c585db5c50900419", size = 12294799, upload-time = "2025-05-06T12:29:35.824Z" }, +] + +[[package]] +name = "jupyterlab-pygments" +version = "0.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/90/51/9187be60d989df97f5f0aba133fa54e7300f17616e065d1ada7d7646b6d6/jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d", size = 512900, upload-time = "2023-11-23T09:26:37.44Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b1/dd/ead9d8ea85bf202d90cc513b533f9c363121c7792674f78e0d8a854b63b4/jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780", size = 15884, upload-time = "2023-11-23T09:26:34.325Z" }, +] + +[[package]] +name = "jupyterlab-server" +version = "2.27.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "babel" }, + { name = "jinja2" }, + { name = "json5" }, + { name = "jsonschema" }, + { name = "jupyter-server" }, + { name = "packaging" }, + { name = "requests" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0a/c9/a883ce65eb27905ce77ace410d83587c82ea64dc85a48d1f7ed52bcfa68d/jupyterlab_server-2.27.3.tar.gz", hash = "sha256:eb36caca59e74471988f0ae25c77945610b887f777255aa21f8065def9e51ed4", size = 76173, upload-time = "2024-07-16T17:02:04.149Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/54/09/2032e7d15c544a0e3cd831c51d77a8ca57f7555b2e1b2922142eddb02a84/jupyterlab_server-2.27.3-py3-none-any.whl", hash = "sha256:e697488f66c3db49df675158a77b3b017520d772c6e1548c7d9bcc5df7944ee4", size = 59700, upload-time = "2024-07-16T17:02:01.115Z" }, +] + +[[package]] +name = "jupyterlab-widgets" +version = "3.0.15" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/b9/7d/160595ca88ee87ac6ba95d82177d29ec60aaa63821d3077babb22ce031a5/jupyterlab_widgets-3.0.15.tar.gz", hash = "sha256:2920888a0c2922351a9202817957a68c07d99673504d6cd37345299e971bb08b", size = 213149, upload-time = "2025-05-05T12:32:31.004Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/43/6a/ca128561b22b60bd5a0c4ea26649e68c8556b82bc70a0c396eebc977fe86/jupyterlab_widgets-3.0.15-py3-none-any.whl", hash = "sha256:d59023d7d7ef71400d51e6fee9a88867f6e65e10a4201605d2d7f3e8f012a31c", size = 216571, upload-time = "2025-05-05T12:32:29.534Z" }, +] + +[[package]] +name = "kiwisolver" +version = "1.4.8" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/82/59/7c91426a8ac292e1cdd53a63b6d9439abd573c875c3f92c146767dd33faf/kiwisolver-1.4.8.tar.gz", hash = "sha256:23d5f023bdc8c7e54eb65f03ca5d5bb25b601eac4d7f1a042888a1f45237987e", size = 97538, upload-time = "2024-12-24T18:30:51.519Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/47/5f/4d8e9e852d98ecd26cdf8eaf7ed8bc33174033bba5e07001b289f07308fd/kiwisolver-1.4.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:88c6f252f6816a73b1f8c904f7bbe02fd67c09a69f7cb8a0eecdbf5ce78e63db", size = 124623, upload-time = "2024-12-24T18:28:17.687Z" }, + { url = "https://files.pythonhosted.org/packages/1d/70/7f5af2a18a76fe92ea14675f8bd88ce53ee79e37900fa5f1a1d8e0b42998/kiwisolver-1.4.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c72941acb7b67138f35b879bbe85be0f6c6a70cab78fe3ef6db9c024d9223e5b", size = 66720, upload-time = "2024-12-24T18:28:19.158Z" }, + { url = "https://files.pythonhosted.org/packages/c6/13/e15f804a142353aefd089fadc8f1d985561a15358c97aca27b0979cb0785/kiwisolver-1.4.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ce2cf1e5688edcb727fdf7cd1bbd0b6416758996826a8be1d958f91880d0809d", size = 65413, upload-time = "2024-12-24T18:28:20.064Z" }, + { url = "https://files.pythonhosted.org/packages/ce/6d/67d36c4d2054e83fb875c6b59d0809d5c530de8148846b1370475eeeece9/kiwisolver-1.4.8-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:c8bf637892dc6e6aad2bc6d4d69d08764166e5e3f69d469e55427b6ac001b19d", size = 1650826, upload-time = "2024-12-24T18:28:21.203Z" }, + { url = "https://files.pythonhosted.org/packages/de/c6/7b9bb8044e150d4d1558423a1568e4f227193662a02231064e3824f37e0a/kiwisolver-1.4.8-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:034d2c891f76bd3edbdb3ea11140d8510dca675443da7304205a2eaa45d8334c", size = 1628231, upload-time = "2024-12-24T18:28:23.851Z" }, + { url = "https://files.pythonhosted.org/packages/b6/38/ad10d437563063eaaedbe2c3540a71101fc7fb07a7e71f855e93ea4de605/kiwisolver-1.4.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d47b28d1dfe0793d5e96bce90835e17edf9a499b53969b03c6c47ea5985844c3", size = 1408938, upload-time = "2024-12-24T18:28:26.687Z" }, + { url = "https://files.pythonhosted.org/packages/52/ce/c0106b3bd7f9e665c5f5bc1e07cc95b5dabd4e08e3dad42dbe2faad467e7/kiwisolver-1.4.8-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:eb158fe28ca0c29f2260cca8c43005329ad58452c36f0edf298204de32a9a3ed", size = 1422799, upload-time = "2024-12-24T18:28:30.538Z" }, + { url = "https://files.pythonhosted.org/packages/d0/87/efb704b1d75dc9758087ba374c0f23d3254505edaedd09cf9d247f7878b9/kiwisolver-1.4.8-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d5536185fce131780ebd809f8e623bf4030ce1b161353166c49a3c74c287897f", size = 1354362, upload-time = "2024-12-24T18:28:32.943Z" }, + { url = "https://files.pythonhosted.org/packages/eb/b3/fd760dc214ec9a8f208b99e42e8f0130ff4b384eca8b29dd0efc62052176/kiwisolver-1.4.8-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:369b75d40abedc1da2c1f4de13f3482cb99e3237b38726710f4a793432b1c5ff", size = 2222695, upload-time = "2024-12-24T18:28:35.641Z" }, + { url = "https://files.pythonhosted.org/packages/a2/09/a27fb36cca3fc01700687cc45dae7a6a5f8eeb5f657b9f710f788748e10d/kiwisolver-1.4.8-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:641f2ddf9358c80faa22e22eb4c9f54bd3f0e442e038728f500e3b978d00aa7d", size = 2370802, upload-time = "2024-12-24T18:28:38.357Z" }, + { url = "https://files.pythonhosted.org/packages/3d/c3/ba0a0346db35fe4dc1f2f2cf8b99362fbb922d7562e5f911f7ce7a7b60fa/kiwisolver-1.4.8-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:d561d2d8883e0819445cfe58d7ddd673e4015c3c57261d7bdcd3710d0d14005c", size = 2334646, upload-time = "2024-12-24T18:28:40.941Z" }, + { url = "https://files.pythonhosted.org/packages/41/52/942cf69e562f5ed253ac67d5c92a693745f0bed3c81f49fc0cbebe4d6b00/kiwisolver-1.4.8-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:1732e065704b47c9afca7ffa272f845300a4eb959276bf6970dc07265e73b605", size = 2467260, upload-time = "2024-12-24T18:28:42.273Z" }, + { url = "https://files.pythonhosted.org/packages/32/26/2d9668f30d8a494b0411d4d7d4ea1345ba12deb6a75274d58dd6ea01e951/kiwisolver-1.4.8-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:bcb1ebc3547619c3b58a39e2448af089ea2ef44b37988caf432447374941574e", size = 2288633, upload-time = "2024-12-24T18:28:44.87Z" }, + { url = "https://files.pythonhosted.org/packages/98/99/0dd05071654aa44fe5d5e350729961e7bb535372935a45ac89a8924316e6/kiwisolver-1.4.8-cp310-cp310-win_amd64.whl", hash = "sha256:89c107041f7b27844179ea9c85d6da275aa55ecf28413e87624d033cf1f6b751", size = 71885, upload-time = "2024-12-24T18:28:47.346Z" }, + { url = "https://files.pythonhosted.org/packages/6c/fc/822e532262a97442989335394d441cd1d0448c2e46d26d3e04efca84df22/kiwisolver-1.4.8-cp310-cp310-win_arm64.whl", hash = "sha256:b5773efa2be9eb9fcf5415ea3ab70fc785d598729fd6057bea38d539ead28271", size = 65175, upload-time = "2024-12-24T18:28:49.651Z" }, + { url = "https://files.pythonhosted.org/packages/da/ed/c913ee28936c371418cb167b128066ffb20bbf37771eecc2c97edf8a6e4c/kiwisolver-1.4.8-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a4d3601908c560bdf880f07d94f31d734afd1bb71e96585cace0e38ef44c6d84", size = 124635, upload-time = "2024-12-24T18:28:51.826Z" }, + { url = "https://files.pythonhosted.org/packages/4c/45/4a7f896f7467aaf5f56ef093d1f329346f3b594e77c6a3c327b2d415f521/kiwisolver-1.4.8-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:856b269c4d28a5c0d5e6c1955ec36ebfd1651ac00e1ce0afa3e28da95293b561", size = 66717, upload-time = "2024-12-24T18:28:54.256Z" }, + { url = "https://files.pythonhosted.org/packages/5f/b4/c12b3ac0852a3a68f94598d4c8d569f55361beef6159dce4e7b624160da2/kiwisolver-1.4.8-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c2b9a96e0f326205af81a15718a9073328df1173a2619a68553decb7097fd5d7", size = 65413, upload-time = "2024-12-24T18:28:55.184Z" }, + { url = "https://files.pythonhosted.org/packages/a9/98/1df4089b1ed23d83d410adfdc5947245c753bddfbe06541c4aae330e9e70/kiwisolver-1.4.8-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c5020c83e8553f770cb3b5fc13faac40f17e0b205bd237aebd21d53d733adb03", size = 1343994, upload-time = "2024-12-24T18:28:57.493Z" }, + { url = "https://files.pythonhosted.org/packages/8d/bf/b4b169b050c8421a7c53ea1ea74e4ef9c335ee9013216c558a047f162d20/kiwisolver-1.4.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dace81d28c787956bfbfbbfd72fdcef014f37d9b48830829e488fdb32b49d954", size = 1434804, upload-time = "2024-12-24T18:29:00.077Z" }, + { url = "https://files.pythonhosted.org/packages/66/5a/e13bd341fbcf73325ea60fdc8af752addf75c5079867af2e04cc41f34434/kiwisolver-1.4.8-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:11e1022b524bd48ae56c9b4f9296bce77e15a2e42a502cceba602f804b32bb79", size = 1450690, upload-time = "2024-12-24T18:29:01.401Z" }, + { url = "https://files.pythonhosted.org/packages/9b/4f/5955dcb376ba4a830384cc6fab7d7547bd6759fe75a09564910e9e3bb8ea/kiwisolver-1.4.8-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3b9b4d2892fefc886f30301cdd80debd8bb01ecdf165a449eb6e78f79f0fabd6", size = 1376839, upload-time = "2024-12-24T18:29:02.685Z" }, + { url = "https://files.pythonhosted.org/packages/3a/97/5edbed69a9d0caa2e4aa616ae7df8127e10f6586940aa683a496c2c280b9/kiwisolver-1.4.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a96c0e790ee875d65e340ab383700e2b4891677b7fcd30a699146f9384a2bb0", size = 1435109, upload-time = "2024-12-24T18:29:04.113Z" }, + { url = "https://files.pythonhosted.org/packages/13/fc/e756382cb64e556af6c1809a1bbb22c141bbc2445049f2da06b420fe52bf/kiwisolver-1.4.8-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:23454ff084b07ac54ca8be535f4174170c1094a4cff78fbae4f73a4bcc0d4dab", size = 2245269, upload-time = "2024-12-24T18:29:05.488Z" }, + { url = "https://files.pythonhosted.org/packages/76/15/e59e45829d7f41c776d138245cabae6515cb4eb44b418f6d4109c478b481/kiwisolver-1.4.8-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:87b287251ad6488e95b4f0b4a79a6d04d3ea35fde6340eb38fbd1ca9cd35bbbc", size = 2393468, upload-time = "2024-12-24T18:29:06.79Z" }, + { url = "https://files.pythonhosted.org/packages/e9/39/483558c2a913ab8384d6e4b66a932406f87c95a6080112433da5ed668559/kiwisolver-1.4.8-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:b21dbe165081142b1232a240fc6383fd32cdd877ca6cc89eab93e5f5883e1c25", size = 2355394, upload-time = "2024-12-24T18:29:08.24Z" }, + { url = "https://files.pythonhosted.org/packages/01/aa/efad1fbca6570a161d29224f14b082960c7e08268a133fe5dc0f6906820e/kiwisolver-1.4.8-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:768cade2c2df13db52475bd28d3a3fac8c9eff04b0e9e2fda0f3760f20b3f7fc", size = 2490901, upload-time = "2024-12-24T18:29:09.653Z" }, + { url = "https://files.pythonhosted.org/packages/c9/4f/15988966ba46bcd5ab9d0c8296914436720dd67fca689ae1a75b4ec1c72f/kiwisolver-1.4.8-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d47cfb2650f0e103d4bf68b0b5804c68da97272c84bb12850d877a95c056bd67", size = 2312306, upload-time = "2024-12-24T18:29:12.644Z" }, + { url = "https://files.pythonhosted.org/packages/2d/27/bdf1c769c83f74d98cbc34483a972f221440703054894a37d174fba8aa68/kiwisolver-1.4.8-cp311-cp311-win_amd64.whl", hash = "sha256:ed33ca2002a779a2e20eeb06aea7721b6e47f2d4b8a8ece979d8ba9e2a167e34", size = 71966, upload-time = "2024-12-24T18:29:14.089Z" }, + { url = "https://files.pythonhosted.org/packages/4a/c9/9642ea855604aeb2968a8e145fc662edf61db7632ad2e4fb92424be6b6c0/kiwisolver-1.4.8-cp311-cp311-win_arm64.whl", hash = "sha256:16523b40aab60426ffdebe33ac374457cf62863e330a90a0383639ce14bf44b2", size = 65311, upload-time = "2024-12-24T18:29:15.892Z" }, + { url = "https://files.pythonhosted.org/packages/fc/aa/cea685c4ab647f349c3bc92d2daf7ae34c8e8cf405a6dcd3a497f58a2ac3/kiwisolver-1.4.8-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:d6af5e8815fd02997cb6ad9bbed0ee1e60014438ee1a5c2444c96f87b8843502", size = 124152, upload-time = "2024-12-24T18:29:16.85Z" }, + { url = "https://files.pythonhosted.org/packages/c5/0b/8db6d2e2452d60d5ebc4ce4b204feeb16176a851fd42462f66ade6808084/kiwisolver-1.4.8-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:bade438f86e21d91e0cf5dd7c0ed00cda0f77c8c1616bd83f9fc157fa6760d31", size = 66555, upload-time = "2024-12-24T18:29:19.146Z" }, + { url = "https://files.pythonhosted.org/packages/60/26/d6a0db6785dd35d3ba5bf2b2df0aedc5af089962c6eb2cbf67a15b81369e/kiwisolver-1.4.8-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b83dc6769ddbc57613280118fb4ce3cd08899cc3369f7d0e0fab518a7cf37fdb", size = 65067, upload-time = "2024-12-24T18:29:20.096Z" }, + { url = "https://files.pythonhosted.org/packages/c9/ed/1d97f7e3561e09757a196231edccc1bcf59d55ddccefa2afc9c615abd8e0/kiwisolver-1.4.8-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:111793b232842991be367ed828076b03d96202c19221b5ebab421ce8bcad016f", size = 1378443, upload-time = "2024-12-24T18:29:22.843Z" }, + { url = "https://files.pythonhosted.org/packages/29/61/39d30b99954e6b46f760e6289c12fede2ab96a254c443639052d1b573fbc/kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:257af1622860e51b1a9d0ce387bf5c2c4f36a90594cb9514f55b074bcc787cfc", size = 1472728, upload-time = "2024-12-24T18:29:24.463Z" }, + { url = "https://files.pythonhosted.org/packages/0c/3e/804163b932f7603ef256e4a715e5843a9600802bb23a68b4e08c8c0ff61d/kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:69b5637c3f316cab1ec1c9a12b8c5f4750a4c4b71af9157645bf32830e39c03a", size = 1478388, upload-time = "2024-12-24T18:29:25.776Z" }, + { url = "https://files.pythonhosted.org/packages/8a/9e/60eaa75169a154700be74f875a4d9961b11ba048bef315fbe89cb6999056/kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:782bb86f245ec18009890e7cb8d13a5ef54dcf2ebe18ed65f795e635a96a1c6a", size = 1413849, upload-time = "2024-12-24T18:29:27.202Z" }, + { url = "https://files.pythonhosted.org/packages/bc/b3/9458adb9472e61a998c8c4d95cfdfec91c73c53a375b30b1428310f923e4/kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc978a80a0db3a66d25767b03688f1147a69e6237175c0f4ffffaaedf744055a", size = 1475533, upload-time = "2024-12-24T18:29:28.638Z" }, + { url = "https://files.pythonhosted.org/packages/e4/7a/0a42d9571e35798de80aef4bb43a9b672aa7f8e58643d7bd1950398ffb0a/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:36dbbfd34838500a31f52c9786990d00150860e46cd5041386f217101350f0d3", size = 2268898, upload-time = "2024-12-24T18:29:30.368Z" }, + { url = "https://files.pythonhosted.org/packages/d9/07/1255dc8d80271400126ed8db35a1795b1a2c098ac3a72645075d06fe5c5d/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:eaa973f1e05131de5ff3569bbba7f5fd07ea0595d3870ed4a526d486fe57fa1b", size = 2425605, upload-time = "2024-12-24T18:29:33.151Z" }, + { url = "https://files.pythonhosted.org/packages/84/df/5a3b4cf13780ef6f6942df67b138b03b7e79e9f1f08f57c49957d5867f6e/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:a66f60f8d0c87ab7f59b6fb80e642ebb29fec354a4dfad687ca4092ae69d04f4", size = 2375801, upload-time = "2024-12-24T18:29:34.584Z" }, + { url = "https://files.pythonhosted.org/packages/8f/10/2348d068e8b0f635c8c86892788dac7a6b5c0cb12356620ab575775aad89/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:858416b7fb777a53f0c59ca08190ce24e9abbd3cffa18886a5781b8e3e26f65d", size = 2520077, upload-time = "2024-12-24T18:29:36.138Z" }, + { url = "https://files.pythonhosted.org/packages/32/d8/014b89fee5d4dce157d814303b0fce4d31385a2af4c41fed194b173b81ac/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:085940635c62697391baafaaeabdf3dd7a6c3643577dde337f4d66eba021b2b8", size = 2338410, upload-time = "2024-12-24T18:29:39.991Z" }, + { url = "https://files.pythonhosted.org/packages/bd/72/dfff0cc97f2a0776e1c9eb5bef1ddfd45f46246c6533b0191887a427bca5/kiwisolver-1.4.8-cp312-cp312-win_amd64.whl", hash = "sha256:01c3d31902c7db5fb6182832713d3b4122ad9317c2c5877d0539227d96bb2e50", size = 71853, upload-time = "2024-12-24T18:29:42.006Z" }, + { url = "https://files.pythonhosted.org/packages/dc/85/220d13d914485c0948a00f0b9eb419efaf6da81b7d72e88ce2391f7aed8d/kiwisolver-1.4.8-cp312-cp312-win_arm64.whl", hash = "sha256:a3c44cb68861de93f0c4a8175fbaa691f0aa22550c331fefef02b618a9dcb476", size = 65424, upload-time = "2024-12-24T18:29:44.38Z" }, + { url = "https://files.pythonhosted.org/packages/79/b3/e62464a652f4f8cd9006e13d07abad844a47df1e6537f73ddfbf1bc997ec/kiwisolver-1.4.8-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:1c8ceb754339793c24aee1c9fb2485b5b1f5bb1c2c214ff13368431e51fc9a09", size = 124156, upload-time = "2024-12-24T18:29:45.368Z" }, + { url = "https://files.pythonhosted.org/packages/8d/2d/f13d06998b546a2ad4f48607a146e045bbe48030774de29f90bdc573df15/kiwisolver-1.4.8-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:54a62808ac74b5e55a04a408cda6156f986cefbcf0ada13572696b507cc92fa1", size = 66555, upload-time = "2024-12-24T18:29:46.37Z" }, + { url = "https://files.pythonhosted.org/packages/59/e3/b8bd14b0a54998a9fd1e8da591c60998dc003618cb19a3f94cb233ec1511/kiwisolver-1.4.8-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:68269e60ee4929893aad82666821aaacbd455284124817af45c11e50a4b42e3c", size = 65071, upload-time = "2024-12-24T18:29:47.333Z" }, + { url = "https://files.pythonhosted.org/packages/f0/1c/6c86f6d85ffe4d0ce04228d976f00674f1df5dc893bf2dd4f1928748f187/kiwisolver-1.4.8-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:34d142fba9c464bc3bbfeff15c96eab0e7310343d6aefb62a79d51421fcc5f1b", size = 1378053, upload-time = "2024-12-24T18:29:49.636Z" }, + { url = "https://files.pythonhosted.org/packages/4e/b9/1c6e9f6dcb103ac5cf87cb695845f5fa71379021500153566d8a8a9fc291/kiwisolver-1.4.8-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ddc373e0eef45b59197de815b1b28ef89ae3955e7722cc9710fb91cd77b7f47", size = 1472278, upload-time = "2024-12-24T18:29:51.164Z" }, + { url = "https://files.pythonhosted.org/packages/ee/81/aca1eb176de671f8bda479b11acdc42c132b61a2ac861c883907dde6debb/kiwisolver-1.4.8-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:77e6f57a20b9bd4e1e2cedda4d0b986ebd0216236f0106e55c28aea3d3d69b16", size = 1478139, upload-time = "2024-12-24T18:29:52.594Z" }, + { url = "https://files.pythonhosted.org/packages/49/f4/e081522473671c97b2687d380e9e4c26f748a86363ce5af48b4a28e48d06/kiwisolver-1.4.8-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:08e77738ed7538f036cd1170cbed942ef749137b1311fa2bbe2a7fda2f6bf3cc", size = 1413517, upload-time = "2024-12-24T18:29:53.941Z" }, + { url = "https://files.pythonhosted.org/packages/8f/e9/6a7d025d8da8c4931522922cd706105aa32b3291d1add8c5427cdcd66e63/kiwisolver-1.4.8-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a5ce1e481a74b44dd5e92ff03ea0cb371ae7a0268318e202be06c8f04f4f1246", size = 1474952, upload-time = "2024-12-24T18:29:56.523Z" }, + { url = "https://files.pythonhosted.org/packages/82/13/13fa685ae167bee5d94b415991c4fc7bb0a1b6ebea6e753a87044b209678/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:fc2ace710ba7c1dfd1a3b42530b62b9ceed115f19a1656adefce7b1782a37794", size = 2269132, upload-time = "2024-12-24T18:29:57.989Z" }, + { url = "https://files.pythonhosted.org/packages/ef/92/bb7c9395489b99a6cb41d502d3686bac692586db2045adc19e45ee64ed23/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:3452046c37c7692bd52b0e752b87954ef86ee2224e624ef7ce6cb21e8c41cc1b", size = 2425997, upload-time = "2024-12-24T18:29:59.393Z" }, + { url = "https://files.pythonhosted.org/packages/ed/12/87f0e9271e2b63d35d0d8524954145837dd1a6c15b62a2d8c1ebe0f182b4/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:7e9a60b50fe8b2ec6f448fe8d81b07e40141bfced7f896309df271a0b92f80f3", size = 2376060, upload-time = "2024-12-24T18:30:01.338Z" }, + { url = "https://files.pythonhosted.org/packages/02/6e/c8af39288edbce8bf0fa35dee427b082758a4b71e9c91ef18fa667782138/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:918139571133f366e8362fa4a297aeba86c7816b7ecf0bc79168080e2bd79957", size = 2520471, upload-time = "2024-12-24T18:30:04.574Z" }, + { url = "https://files.pythonhosted.org/packages/13/78/df381bc7b26e535c91469f77f16adcd073beb3e2dd25042efd064af82323/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e063ef9f89885a1d68dd8b2e18f5ead48653176d10a0e324e3b0030e3a69adeb", size = 2338793, upload-time = "2024-12-24T18:30:06.25Z" }, + { url = "https://files.pythonhosted.org/packages/d0/dc/c1abe38c37c071d0fc71c9a474fd0b9ede05d42f5a458d584619cfd2371a/kiwisolver-1.4.8-cp313-cp313-win_amd64.whl", hash = "sha256:a17b7c4f5b2c51bb68ed379defd608a03954a1845dfed7cc0117f1cc8a9b7fd2", size = 71855, upload-time = "2024-12-24T18:30:07.535Z" }, + { url = "https://files.pythonhosted.org/packages/a0/b6/21529d595b126ac298fdd90b705d87d4c5693de60023e0efcb4f387ed99e/kiwisolver-1.4.8-cp313-cp313-win_arm64.whl", hash = "sha256:3cd3bc628b25f74aedc6d374d5babf0166a92ff1317f46267f12d2ed54bc1d30", size = 65430, upload-time = "2024-12-24T18:30:08.504Z" }, + { url = "https://files.pythonhosted.org/packages/34/bd/b89380b7298e3af9b39f49334e3e2a4af0e04819789f04b43d560516c0c8/kiwisolver-1.4.8-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:370fd2df41660ed4e26b8c9d6bbcad668fbe2560462cba151a721d49e5b6628c", size = 126294, upload-time = "2024-12-24T18:30:09.508Z" }, + { url = "https://files.pythonhosted.org/packages/83/41/5857dc72e5e4148eaac5aa76e0703e594e4465f8ab7ec0fc60e3a9bb8fea/kiwisolver-1.4.8-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:84a2f830d42707de1d191b9490ac186bf7997a9495d4e9072210a1296345f7dc", size = 67736, upload-time = "2024-12-24T18:30:11.039Z" }, + { url = "https://files.pythonhosted.org/packages/e1/d1/be059b8db56ac270489fb0b3297fd1e53d195ba76e9bbb30e5401fa6b759/kiwisolver-1.4.8-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:7a3ad337add5148cf51ce0b55642dc551c0b9d6248458a757f98796ca7348712", size = 66194, upload-time = "2024-12-24T18:30:14.886Z" }, + { url = "https://files.pythonhosted.org/packages/e1/83/4b73975f149819eb7dcf9299ed467eba068ecb16439a98990dcb12e63fdd/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7506488470f41169b86d8c9aeff587293f530a23a23a49d6bc64dab66bedc71e", size = 1465942, upload-time = "2024-12-24T18:30:18.927Z" }, + { url = "https://files.pythonhosted.org/packages/c7/2c/30a5cdde5102958e602c07466bce058b9d7cb48734aa7a4327261ac8e002/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2f0121b07b356a22fb0414cec4666bbe36fd6d0d759db3d37228f496ed67c880", size = 1595341, upload-time = "2024-12-24T18:30:22.102Z" }, + { url = "https://files.pythonhosted.org/packages/ff/9b/1e71db1c000385aa069704f5990574b8244cce854ecd83119c19e83c9586/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d6d6bd87df62c27d4185de7c511c6248040afae67028a8a22012b010bc7ad062", size = 1598455, upload-time = "2024-12-24T18:30:24.947Z" }, + { url = "https://files.pythonhosted.org/packages/85/92/c8fec52ddf06231b31cbb779af77e99b8253cd96bd135250b9498144c78b/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:291331973c64bb9cce50bbe871fb2e675c4331dab4f31abe89f175ad7679a4d7", size = 1522138, upload-time = "2024-12-24T18:30:26.286Z" }, + { url = "https://files.pythonhosted.org/packages/0b/51/9eb7e2cd07a15d8bdd976f6190c0164f92ce1904e5c0c79198c4972926b7/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:893f5525bb92d3d735878ec00f781b2de998333659507d29ea4466208df37bed", size = 1582857, upload-time = "2024-12-24T18:30:28.86Z" }, + { url = "https://files.pythonhosted.org/packages/0f/95/c5a00387a5405e68ba32cc64af65ce881a39b98d73cc394b24143bebc5b8/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:b47a465040146981dc9db8647981b8cb96366fbc8d452b031e4f8fdffec3f26d", size = 2293129, upload-time = "2024-12-24T18:30:30.34Z" }, + { url = "https://files.pythonhosted.org/packages/44/83/eeb7af7d706b8347548313fa3a3a15931f404533cc54fe01f39e830dd231/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:99cea8b9dd34ff80c521aef46a1dddb0dcc0283cf18bde6d756f1e6f31772165", size = 2421538, upload-time = "2024-12-24T18:30:33.334Z" }, + { url = "https://files.pythonhosted.org/packages/05/f9/27e94c1b3eb29e6933b6986ffc5fa1177d2cd1f0c8efc5f02c91c9ac61de/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:151dffc4865e5fe6dafce5480fab84f950d14566c480c08a53c663a0020504b6", size = 2390661, upload-time = "2024-12-24T18:30:34.939Z" }, + { url = "https://files.pythonhosted.org/packages/d9/d4/3c9735faa36ac591a4afcc2980d2691000506050b7a7e80bcfe44048daa7/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:577facaa411c10421314598b50413aa1ebcf5126f704f1e5d72d7e4e9f020d90", size = 2546710, upload-time = "2024-12-24T18:30:37.281Z" }, + { url = "https://files.pythonhosted.org/packages/4c/fa/be89a49c640930180657482a74970cdcf6f7072c8d2471e1babe17a222dc/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:be4816dc51c8a471749d664161b434912eee82f2ea66bd7628bd14583a833e85", size = 2349213, upload-time = "2024-12-24T18:30:40.019Z" }, + { url = "https://files.pythonhosted.org/packages/1f/f9/ae81c47a43e33b93b0a9819cac6723257f5da2a5a60daf46aa5c7226ea85/kiwisolver-1.4.8-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:e7a019419b7b510f0f7c9dceff8c5eae2392037eae483a7f9162625233802b0a", size = 60403, upload-time = "2024-12-24T18:30:41.372Z" }, + { url = "https://files.pythonhosted.org/packages/58/ca/f92b5cb6f4ce0c1ebfcfe3e2e42b96917e16f7090e45b21102941924f18f/kiwisolver-1.4.8-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:286b18e86682fd2217a48fc6be6b0f20c1d0ed10958d8dc53453ad58d7be0bf8", size = 58657, upload-time = "2024-12-24T18:30:42.392Z" }, + { url = "https://files.pythonhosted.org/packages/80/28/ae0240f732f0484d3a4dc885d055653c47144bdf59b670aae0ec3c65a7c8/kiwisolver-1.4.8-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4191ee8dfd0be1c3666ccbac178c5a05d5f8d689bbe3fc92f3c4abec817f8fe0", size = 84948, upload-time = "2024-12-24T18:30:44.703Z" }, + { url = "https://files.pythonhosted.org/packages/5d/eb/78d50346c51db22c7203c1611f9b513075f35c4e0e4877c5dde378d66043/kiwisolver-1.4.8-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7cd2785b9391f2873ad46088ed7599a6a71e762e1ea33e87514b1a441ed1da1c", size = 81186, upload-time = "2024-12-24T18:30:45.654Z" }, + { url = "https://files.pythonhosted.org/packages/43/f8/7259f18c77adca88d5f64f9a522792e178b2691f3748817a8750c2d216ef/kiwisolver-1.4.8-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c07b29089b7ba090b6f1a669f1411f27221c3662b3a1b7010e67b59bb5a6f10b", size = 80279, upload-time = "2024-12-24T18:30:47.951Z" }, + { url = "https://files.pythonhosted.org/packages/3a/1d/50ad811d1c5dae091e4cf046beba925bcae0a610e79ae4c538f996f63ed5/kiwisolver-1.4.8-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:65ea09a5a3faadd59c2ce96dc7bf0f364986a315949dc6374f04396b0d60e09b", size = 71762, upload-time = "2024-12-24T18:30:48.903Z" }, +] + +[[package]] +name = "liger-kernel" +version = "0.5.10" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "torch" }, + { name = "triton" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/8d/2c/a0f815aa7aa062b09b76ce703de60dd55da379171f277067d04f7d8e170b/liger_kernel-0.5.10.tar.gz", hash = "sha256:f818e6c03315a8fc5e0648a2a7380778edad8ce84d69a315917975052ce8b1df", size = 3611086, upload-time = "2025-05-22T17:52:37.882Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/07/5f/1ef997fc773751e6a52fe3d60dc3c29bcceab52ec6ca97209acdd8d0a627/liger_kernel-0.5.10-py3-none-any.whl", hash = "sha256:dfda1e9640fbbd4a023c3bcaf9d6306a9de0ff60c48f966dfff6f298f3fe7390", size = 163071, upload-time = "2025-05-22T17:52:36.386Z" }, +] + +[[package]] +name = "lightning-utilities" +version = "0.14.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "packaging" }, + { name = "setuptools" }, + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0f/bb/63a6a8c9e7a96b6ba92647fa5b1595c2dbee29f8178705adb4704d82ecba/lightning_utilities-0.14.3.tar.gz", hash = "sha256:37e2f83f273890052955a44054382c211a303012ee577619efbaa5df9e65e9f5", size = 30346, upload-time = "2025-04-03T15:59:56.928Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1a/c1/31b3184cba7b257a4a3b5ca5b88b9204ccb7aa02fe3c992280899293ed54/lightning_utilities-0.14.3-py3-none-any.whl", hash = "sha256:4ab9066aa36cd7b93a05713808901909e96cc3f187ea6fd3052b2fd91313b468", size = 28894, upload-time = "2025-04-03T15:59:55.658Z" }, +] + +[[package]] +name = "markdown" +version = "3.8" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/2f/15/222b423b0b88689c266d9eac4e61396fe2cc53464459d6a37618ac863b24/markdown-3.8.tar.gz", hash = "sha256:7df81e63f0df5c4b24b7d156eb81e4690595239b7d70937d0409f1b0de319c6f", size = 360906, upload-time = "2025-04-11T14:42:50.928Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/51/3f/afe76f8e2246ffbc867440cbcf90525264df0e658f8a5ca1f872b3f6192a/markdown-3.8-py3-none-any.whl", hash = "sha256:794a929b79c5af141ef5ab0f2f642d0f7b1872981250230e72682346f7cc90dc", size = 106210, upload-time = "2025-04-11T14:42:49.178Z" }, +] + +[[package]] +name = "markupsafe" +version = "3.0.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/b2/97/5d42485e71dfc078108a86d6de8fa46db44a1a9295e89c5d6d4a06e23a62/markupsafe-3.0.2.tar.gz", hash = "sha256:ee55d3edf80167e48ea11a923c7386f4669df67d7994554387f84e7d8b0a2bf0", size = 20537, upload-time = "2024-10-18T15:21:54.129Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/04/90/d08277ce111dd22f77149fd1a5d4653eeb3b3eaacbdfcbae5afb2600eebd/MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8", size = 14357, upload-time = "2024-10-18T15:20:51.44Z" }, + { url = "https://files.pythonhosted.org/packages/04/e1/6e2194baeae0bca1fae6629dc0cbbb968d4d941469cbab11a3872edff374/MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158", size = 12393, upload-time = "2024-10-18T15:20:52.426Z" }, + { url = "https://files.pythonhosted.org/packages/1d/69/35fa85a8ece0a437493dc61ce0bb6d459dcba482c34197e3efc829aa357f/MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:38a9ef736c01fccdd6600705b09dc574584b89bea478200c5fbf112a6b0d5579", size = 21732, upload-time = "2024-10-18T15:20:53.578Z" }, + { url = "https://files.pythonhosted.org/packages/22/35/137da042dfb4720b638d2937c38a9c2df83fe32d20e8c8f3185dbfef05f7/MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bbcb445fa71794da8f178f0f6d66789a28d7319071af7a496d4d507ed566270d", size = 20866, upload-time = "2024-10-18T15:20:55.06Z" }, + { url = "https://files.pythonhosted.org/packages/29/28/6d029a903727a1b62edb51863232152fd335d602def598dade38996887f0/MarkupSafe-3.0.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:57cb5a3cf367aeb1d316576250f65edec5bb3be939e9247ae594b4bcbc317dfb", size = 20964, upload-time = "2024-10-18T15:20:55.906Z" }, + { url = "https://files.pythonhosted.org/packages/cc/cd/07438f95f83e8bc028279909d9c9bd39e24149b0d60053a97b2bc4f8aa51/MarkupSafe-3.0.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:3809ede931876f5b2ec92eef964286840ed3540dadf803dd570c3b7e13141a3b", size = 21977, upload-time = "2024-10-18T15:20:57.189Z" }, + { url = "https://files.pythonhosted.org/packages/29/01/84b57395b4cc062f9c4c55ce0df7d3108ca32397299d9df00fedd9117d3d/MarkupSafe-3.0.2-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e07c3764494e3776c602c1e78e298937c3315ccc9043ead7e685b7f2b8d47b3c", size = 21366, upload-time = "2024-10-18T15:20:58.235Z" }, + { url = "https://files.pythonhosted.org/packages/bd/6e/61ebf08d8940553afff20d1fb1ba7294b6f8d279df9fd0c0db911b4bbcfd/MarkupSafe-3.0.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b424c77b206d63d500bcb69fa55ed8d0e6a3774056bdc4839fc9298a7edca171", size = 21091, upload-time = "2024-10-18T15:20:59.235Z" }, + { url = "https://files.pythonhosted.org/packages/11/23/ffbf53694e8c94ebd1e7e491de185124277964344733c45481f32ede2499/MarkupSafe-3.0.2-cp310-cp310-win32.whl", hash = "sha256:fcabf5ff6eea076f859677f5f0b6b5c1a51e70a376b0579e0eadef8db48c6b50", size = 15065, upload-time = "2024-10-18T15:21:00.307Z" }, + { url = "https://files.pythonhosted.org/packages/44/06/e7175d06dd6e9172d4a69a72592cb3f7a996a9c396eee29082826449bbc3/MarkupSafe-3.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:6af100e168aa82a50e186c82875a5893c5597a0c1ccdb0d8b40240b1f28b969a", size = 15514, upload-time = "2024-10-18T15:21:01.122Z" }, + { url = "https://files.pythonhosted.org/packages/6b/28/bbf83e3f76936960b850435576dd5e67034e200469571be53f69174a2dfd/MarkupSafe-3.0.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9025b4018f3a1314059769c7bf15441064b2207cb3f065e6ea1e7359cb46db9d", size = 14353, upload-time = "2024-10-18T15:21:02.187Z" }, + { url = "https://files.pythonhosted.org/packages/6c/30/316d194b093cde57d448a4c3209f22e3046c5bb2fb0820b118292b334be7/MarkupSafe-3.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:93335ca3812df2f366e80509ae119189886b0f3c2b81325d39efdb84a1e2ae93", size = 12392, upload-time = "2024-10-18T15:21:02.941Z" }, + { url = "https://files.pythonhosted.org/packages/f2/96/9cdafba8445d3a53cae530aaf83c38ec64c4d5427d975c974084af5bc5d2/MarkupSafe-3.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2cb8438c3cbb25e220c2ab33bb226559e7afb3baec11c4f218ffa7308603c832", size = 23984, upload-time = "2024-10-18T15:21:03.953Z" }, + { url = "https://files.pythonhosted.org/packages/f1/a4/aefb044a2cd8d7334c8a47d3fb2c9f328ac48cb349468cc31c20b539305f/MarkupSafe-3.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a123e330ef0853c6e822384873bef7507557d8e4a082961e1defa947aa59ba84", size = 23120, upload-time = "2024-10-18T15:21:06.495Z" }, + { url = "https://files.pythonhosted.org/packages/8d/21/5e4851379f88f3fad1de30361db501300d4f07bcad047d3cb0449fc51f8c/MarkupSafe-3.0.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1e084f686b92e5b83186b07e8a17fc09e38fff551f3602b249881fec658d3eca", size = 23032, upload-time = "2024-10-18T15:21:07.295Z" }, + { url = "https://files.pythonhosted.org/packages/00/7b/e92c64e079b2d0d7ddf69899c98842f3f9a60a1ae72657c89ce2655c999d/MarkupSafe-3.0.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d8213e09c917a951de9d09ecee036d5c7d36cb6cb7dbaece4c71a60d79fb9798", size = 24057, upload-time = "2024-10-18T15:21:08.073Z" }, + { url = "https://files.pythonhosted.org/packages/f9/ac/46f960ca323037caa0a10662ef97d0a4728e890334fc156b9f9e52bcc4ca/MarkupSafe-3.0.2-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:5b02fb34468b6aaa40dfc198d813a641e3a63b98c2b05a16b9f80b7ec314185e", size = 23359, upload-time = "2024-10-18T15:21:09.318Z" }, + { url = "https://files.pythonhosted.org/packages/69/84/83439e16197337b8b14b6a5b9c2105fff81d42c2a7c5b58ac7b62ee2c3b1/MarkupSafe-3.0.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:0bff5e0ae4ef2e1ae4fdf2dfd5b76c75e5c2fa4132d05fc1b0dabcd20c7e28c4", size = 23306, upload-time = "2024-10-18T15:21:10.185Z" }, + { url = "https://files.pythonhosted.org/packages/9a/34/a15aa69f01e2181ed8d2b685c0d2f6655d5cca2c4db0ddea775e631918cd/MarkupSafe-3.0.2-cp311-cp311-win32.whl", hash = "sha256:6c89876f41da747c8d3677a2b540fb32ef5715f97b66eeb0c6b66f5e3ef6f59d", size = 15094, upload-time = "2024-10-18T15:21:11.005Z" }, + { url = "https://files.pythonhosted.org/packages/da/b8/3a3bd761922d416f3dc5d00bfbed11f66b1ab89a0c2b6e887240a30b0f6b/MarkupSafe-3.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:70a87b411535ccad5ef2f1df5136506a10775d267e197e4cf531ced10537bd6b", size = 15521, upload-time = "2024-10-18T15:21:12.911Z" }, + { url = "https://files.pythonhosted.org/packages/22/09/d1f21434c97fc42f09d290cbb6350d44eb12f09cc62c9476effdb33a18aa/MarkupSafe-3.0.2-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:9778bd8ab0a994ebf6f84c2b949e65736d5575320a17ae8984a77fab08db94cf", size = 14274, upload-time = "2024-10-18T15:21:13.777Z" }, + { url = "https://files.pythonhosted.org/packages/6b/b0/18f76bba336fa5aecf79d45dcd6c806c280ec44538b3c13671d49099fdd0/MarkupSafe-3.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:846ade7b71e3536c4e56b386c2a47adf5741d2d8b94ec9dc3e92e5e1ee1e2225", size = 12348, upload-time = "2024-10-18T15:21:14.822Z" }, + { url = "https://files.pythonhosted.org/packages/e0/25/dd5c0f6ac1311e9b40f4af06c78efde0f3b5cbf02502f8ef9501294c425b/MarkupSafe-3.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1c99d261bd2d5f6b59325c92c73df481e05e57f19837bdca8413b9eac4bd8028", size = 24149, upload-time = "2024-10-18T15:21:15.642Z" }, + { url = "https://files.pythonhosted.org/packages/f3/f0/89e7aadfb3749d0f52234a0c8c7867877876e0a20b60e2188e9850794c17/MarkupSafe-3.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e17c96c14e19278594aa4841ec148115f9c7615a47382ecb6b82bd8fea3ab0c8", size = 23118, upload-time = "2024-10-18T15:21:17.133Z" }, + { url = "https://files.pythonhosted.org/packages/d5/da/f2eeb64c723f5e3777bc081da884b414671982008c47dcc1873d81f625b6/MarkupSafe-3.0.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:88416bd1e65dcea10bc7569faacb2c20ce071dd1f87539ca2ab364bf6231393c", size = 22993, upload-time = "2024-10-18T15:21:18.064Z" }, + { url = "https://files.pythonhosted.org/packages/da/0e/1f32af846df486dce7c227fe0f2398dc7e2e51d4a370508281f3c1c5cddc/MarkupSafe-3.0.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:2181e67807fc2fa785d0592dc2d6206c019b9502410671cc905d132a92866557", size = 24178, upload-time = "2024-10-18T15:21:18.859Z" }, + { url = "https://files.pythonhosted.org/packages/c4/f6/bb3ca0532de8086cbff5f06d137064c8410d10779c4c127e0e47d17c0b71/MarkupSafe-3.0.2-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:52305740fe773d09cffb16f8ed0427942901f00adedac82ec8b67752f58a1b22", size = 23319, upload-time = "2024-10-18T15:21:19.671Z" }, + { url = "https://files.pythonhosted.org/packages/a2/82/8be4c96ffee03c5b4a034e60a31294daf481e12c7c43ab8e34a1453ee48b/MarkupSafe-3.0.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ad10d3ded218f1039f11a75f8091880239651b52e9bb592ca27de44eed242a48", size = 23352, upload-time = "2024-10-18T15:21:20.971Z" }, + { url = "https://files.pythonhosted.org/packages/51/ae/97827349d3fcffee7e184bdf7f41cd6b88d9919c80f0263ba7acd1bbcb18/MarkupSafe-3.0.2-cp312-cp312-win32.whl", hash = "sha256:0f4ca02bea9a23221c0182836703cbf8930c5e9454bacce27e767509fa286a30", size = 15097, upload-time = "2024-10-18T15:21:22.646Z" }, + { url = "https://files.pythonhosted.org/packages/c1/80/a61f99dc3a936413c3ee4e1eecac96c0da5ed07ad56fd975f1a9da5bc630/MarkupSafe-3.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:8e06879fc22a25ca47312fbe7c8264eb0b662f6db27cb2d3bbbc74b1df4b9b87", size = 15601, upload-time = "2024-10-18T15:21:23.499Z" }, + { url = "https://files.pythonhosted.org/packages/83/0e/67eb10a7ecc77a0c2bbe2b0235765b98d164d81600746914bebada795e97/MarkupSafe-3.0.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:ba9527cdd4c926ed0760bc301f6728ef34d841f405abf9d4f959c478421e4efd", size = 14274, upload-time = "2024-10-18T15:21:24.577Z" }, + { url = "https://files.pythonhosted.org/packages/2b/6d/9409f3684d3335375d04e5f05744dfe7e9f120062c9857df4ab490a1031a/MarkupSafe-3.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f8b3d067f2e40fe93e1ccdd6b2e1d16c43140e76f02fb1319a05cf2b79d99430", size = 12352, upload-time = "2024-10-18T15:21:25.382Z" }, + { url = "https://files.pythonhosted.org/packages/d2/f5/6eadfcd3885ea85fe2a7c128315cc1bb7241e1987443d78c8fe712d03091/MarkupSafe-3.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:569511d3b58c8791ab4c2e1285575265991e6d8f8700c7be0e88f86cb0672094", size = 24122, upload-time = "2024-10-18T15:21:26.199Z" }, + { url = "https://files.pythonhosted.org/packages/0c/91/96cf928db8236f1bfab6ce15ad070dfdd02ed88261c2afafd4b43575e9e9/MarkupSafe-3.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15ab75ef81add55874e7ab7055e9c397312385bd9ced94920f2802310c930396", size = 23085, upload-time = "2024-10-18T15:21:27.029Z" }, + { url = "https://files.pythonhosted.org/packages/c2/cf/c9d56af24d56ea04daae7ac0940232d31d5a8354f2b457c6d856b2057d69/MarkupSafe-3.0.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f3818cb119498c0678015754eba762e0d61e5b52d34c8b13d770f0719f7b1d79", size = 22978, upload-time = "2024-10-18T15:21:27.846Z" }, + { url = "https://files.pythonhosted.org/packages/2a/9f/8619835cd6a711d6272d62abb78c033bda638fdc54c4e7f4272cf1c0962b/MarkupSafe-3.0.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:cdb82a876c47801bb54a690c5ae105a46b392ac6099881cdfb9f6e95e4014c6a", size = 24208, upload-time = "2024-10-18T15:21:28.744Z" }, + { url = "https://files.pythonhosted.org/packages/f9/bf/176950a1792b2cd2102b8ffeb5133e1ed984547b75db47c25a67d3359f77/MarkupSafe-3.0.2-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:cabc348d87e913db6ab4aa100f01b08f481097838bdddf7c7a84b7575b7309ca", size = 23357, upload-time = "2024-10-18T15:21:29.545Z" }, + { url = "https://files.pythonhosted.org/packages/ce/4f/9a02c1d335caabe5c4efb90e1b6e8ee944aa245c1aaaab8e8a618987d816/MarkupSafe-3.0.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:444dcda765c8a838eaae23112db52f1efaf750daddb2d9ca300bcae1039adc5c", size = 23344, upload-time = "2024-10-18T15:21:30.366Z" }, + { url = "https://files.pythonhosted.org/packages/ee/55/c271b57db36f748f0e04a759ace9f8f759ccf22b4960c270c78a394f58be/MarkupSafe-3.0.2-cp313-cp313-win32.whl", hash = "sha256:bcf3e58998965654fdaff38e58584d8937aa3096ab5354d493c77d1fdd66d7a1", size = 15101, upload-time = "2024-10-18T15:21:31.207Z" }, + { url = "https://files.pythonhosted.org/packages/29/88/07df22d2dd4df40aba9f3e402e6dc1b8ee86297dddbad4872bd5e7b0094f/MarkupSafe-3.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:e6a2a455bd412959b57a172ce6328d2dd1f01cb2135efda2e4576e8a23fa3b0f", size = 15603, upload-time = "2024-10-18T15:21:32.032Z" }, + { url = "https://files.pythonhosted.org/packages/62/6a/8b89d24db2d32d433dffcd6a8779159da109842434f1dd2f6e71f32f738c/MarkupSafe-3.0.2-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:b5a6b3ada725cea8a5e634536b1b01c30bcdcd7f9c6fff4151548d5bf6b3a36c", size = 14510, upload-time = "2024-10-18T15:21:33.625Z" }, + { url = "https://files.pythonhosted.org/packages/7a/06/a10f955f70a2e5a9bf78d11a161029d278eeacbd35ef806c3fd17b13060d/MarkupSafe-3.0.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:a904af0a6162c73e3edcb969eeeb53a63ceeb5d8cf642fade7d39e7963a22ddb", size = 12486, upload-time = "2024-10-18T15:21:34.611Z" }, + { url = "https://files.pythonhosted.org/packages/34/cf/65d4a571869a1a9078198ca28f39fba5fbb910f952f9dbc5220afff9f5e6/MarkupSafe-3.0.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4aa4e5faecf353ed117801a068ebab7b7e09ffb6e1d5e412dc852e0da018126c", size = 25480, upload-time = "2024-10-18T15:21:35.398Z" }, + { url = "https://files.pythonhosted.org/packages/0c/e3/90e9651924c430b885468b56b3d597cabf6d72be4b24a0acd1fa0e12af67/MarkupSafe-3.0.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0ef13eaeee5b615fb07c9a7dadb38eac06a0608b41570d8ade51c56539e509d", size = 23914, upload-time = "2024-10-18T15:21:36.231Z" }, + { url = "https://files.pythonhosted.org/packages/66/8c/6c7cf61f95d63bb866db39085150df1f2a5bd3335298f14a66b48e92659c/MarkupSafe-3.0.2-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d16a81a06776313e817c951135cf7340a3e91e8c1ff2fac444cfd75fffa04afe", size = 23796, upload-time = "2024-10-18T15:21:37.073Z" }, + { url = "https://files.pythonhosted.org/packages/bb/35/cbe9238ec3f47ac9a7c8b3df7a808e7cb50fe149dc7039f5f454b3fba218/MarkupSafe-3.0.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:6381026f158fdb7c72a168278597a5e3a5222e83ea18f543112b2662a9b699c5", size = 25473, upload-time = "2024-10-18T15:21:37.932Z" }, + { url = "https://files.pythonhosted.org/packages/e6/32/7621a4382488aa283cc05e8984a9c219abad3bca087be9ec77e89939ded9/MarkupSafe-3.0.2-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:3d79d162e7be8f996986c064d1c7c817f6df3a77fe3d6859f6f9e7be4b8c213a", size = 24114, upload-time = "2024-10-18T15:21:39.799Z" }, + { url = "https://files.pythonhosted.org/packages/0d/80/0985960e4b89922cb5a0bac0ed39c5b96cbc1a536a99f30e8c220a996ed9/MarkupSafe-3.0.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:131a3c7689c85f5ad20f9f6fb1b866f402c445b220c19fe4308c0b147ccd2ad9", size = 24098, upload-time = "2024-10-18T15:21:40.813Z" }, + { url = "https://files.pythonhosted.org/packages/82/78/fedb03c7d5380df2427038ec8d973587e90561b2d90cd472ce9254cf348b/MarkupSafe-3.0.2-cp313-cp313t-win32.whl", hash = "sha256:ba8062ed2cf21c07a9e295d5b8a2a5ce678b913b45fdf68c32d95d6c1291e0b6", size = 15208, upload-time = "2024-10-18T15:21:41.814Z" }, + { url = "https://files.pythonhosted.org/packages/4f/65/6079a46068dfceaeabb5dcad6d674f5f5c61a6fa5673746f42a9f4c233b3/MarkupSafe-3.0.2-cp313-cp313t-win_amd64.whl", hash = "sha256:e444a31f8db13eb18ada366ab3cf45fd4b31e4db1236a4448f68778c1d1a5a2f", size = 15739, upload-time = "2024-10-18T15:21:42.784Z" }, +] + +[[package]] +name = "matplotlib" +version = "3.10.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "contourpy" }, + { name = "cycler" }, + { name = "fonttools" }, + { name = "kiwisolver" }, + { name = "numpy" }, + { name = "packaging" }, + { name = "pillow" }, + { name = "pyparsing" }, + { name = "python-dateutil" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/26/91/d49359a21893183ed2a5b6c76bec40e0b1dcbf8ca148f864d134897cfc75/matplotlib-3.10.3.tar.gz", hash = "sha256:2f82d2c5bb7ae93aaaa4cd42aca65d76ce6376f83304fa3a630b569aca274df0", size = 34799811, upload-time = "2025-05-08T19:10:54.39Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d0/ea/2bba25d289d389c7451f331ecd593944b3705f06ddf593fa7be75037d308/matplotlib-3.10.3-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:213fadd6348d106ca7db99e113f1bea1e65e383c3ba76e8556ba4a3054b65ae7", size = 8167862, upload-time = "2025-05-08T19:09:39.563Z" }, + { url = "https://files.pythonhosted.org/packages/41/81/cc70b5138c926604e8c9ed810ed4c79e8116ba72e02230852f5c12c87ba2/matplotlib-3.10.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d3bec61cb8221f0ca6313889308326e7bb303d0d302c5cc9e523b2f2e6c73deb", size = 8042149, upload-time = "2025-05-08T19:09:42.413Z" }, + { url = "https://files.pythonhosted.org/packages/4a/9a/0ff45b6bfa42bb16de597e6058edf2361c298ad5ef93b327728145161bbf/matplotlib-3.10.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c21ae75651c0231b3ba014b6d5e08fb969c40cdb5a011e33e99ed0c9ea86ecb", size = 8453719, upload-time = "2025-05-08T19:09:44.901Z" }, + { url = "https://files.pythonhosted.org/packages/85/c7/1866e972fed6d71ef136efbc980d4d1854ab7ef1ea8152bbd995ca231c81/matplotlib-3.10.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a49e39755580b08e30e3620efc659330eac5d6534ab7eae50fa5e31f53ee4e30", size = 8590801, upload-time = "2025-05-08T19:09:47.404Z" }, + { url = "https://files.pythonhosted.org/packages/5d/b9/748f6626d534ab7e255bdc39dc22634d337cf3ce200f261b5d65742044a1/matplotlib-3.10.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:cf4636203e1190871d3a73664dea03d26fb019b66692cbfd642faafdad6208e8", size = 9402111, upload-time = "2025-05-08T19:09:49.474Z" }, + { url = "https://files.pythonhosted.org/packages/1f/78/8bf07bd8fb67ea5665a6af188e70b57fcb2ab67057daa06b85a08e59160a/matplotlib-3.10.3-cp310-cp310-win_amd64.whl", hash = "sha256:fd5641a9bb9d55f4dd2afe897a53b537c834b9012684c8444cc105895c8c16fd", size = 8057213, upload-time = "2025-05-08T19:09:51.489Z" }, + { url = "https://files.pythonhosted.org/packages/f5/bd/af9f655456f60fe1d575f54fb14704ee299b16e999704817a7645dfce6b0/matplotlib-3.10.3-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:0ef061f74cd488586f552d0c336b2f078d43bc00dc473d2c3e7bfee2272f3fa8", size = 8178873, upload-time = "2025-05-08T19:09:53.857Z" }, + { url = "https://files.pythonhosted.org/packages/c2/86/e1c86690610661cd716eda5f9d0b35eaf606ae6c9b6736687cfc8f2d0cd8/matplotlib-3.10.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d96985d14dc5f4a736bbea4b9de9afaa735f8a0fc2ca75be2fa9e96b2097369d", size = 8052205, upload-time = "2025-05-08T19:09:55.684Z" }, + { url = "https://files.pythonhosted.org/packages/54/51/a9f8e49af3883dacddb2da1af5fca1f7468677f1188936452dd9aaaeb9ed/matplotlib-3.10.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7c5f0283da91e9522bdba4d6583ed9d5521566f63729ffb68334f86d0bb98049", size = 8465823, upload-time = "2025-05-08T19:09:57.442Z" }, + { url = "https://files.pythonhosted.org/packages/e7/e3/c82963a3b86d6e6d5874cbeaa390166458a7f1961bab9feb14d3d1a10f02/matplotlib-3.10.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fdfa07c0ec58035242bc8b2c8aae37037c9a886370eef6850703d7583e19964b", size = 8606464, upload-time = "2025-05-08T19:09:59.471Z" }, + { url = "https://files.pythonhosted.org/packages/0e/34/24da1027e7fcdd9e82da3194c470143c551852757a4b473a09a012f5b945/matplotlib-3.10.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:c0b9849a17bce080a16ebcb80a7b714b5677d0ec32161a2cc0a8e5a6030ae220", size = 9413103, upload-time = "2025-05-08T19:10:03.208Z" }, + { url = "https://files.pythonhosted.org/packages/a6/da/948a017c3ea13fd4a97afad5fdebe2f5bbc4d28c0654510ce6fd6b06b7bd/matplotlib-3.10.3-cp311-cp311-win_amd64.whl", hash = "sha256:eef6ed6c03717083bc6d69c2d7ee8624205c29a8e6ea5a31cd3492ecdbaee1e1", size = 8065492, upload-time = "2025-05-08T19:10:05.271Z" }, + { url = "https://files.pythonhosted.org/packages/eb/43/6b80eb47d1071f234ef0c96ca370c2ca621f91c12045f1401b5c9b28a639/matplotlib-3.10.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:0ab1affc11d1f495ab9e6362b8174a25afc19c081ba5b0775ef00533a4236eea", size = 8179689, upload-time = "2025-05-08T19:10:07.602Z" }, + { url = "https://files.pythonhosted.org/packages/0f/70/d61a591958325c357204870b5e7b164f93f2a8cca1dc6ce940f563909a13/matplotlib-3.10.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2a818d8bdcafa7ed2eed74487fdb071c09c1ae24152d403952adad11fa3c65b4", size = 8050466, upload-time = "2025-05-08T19:10:09.383Z" }, + { url = "https://files.pythonhosted.org/packages/e7/75/70c9d2306203148cc7902a961240c5927dd8728afedf35e6a77e105a2985/matplotlib-3.10.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:748ebc3470c253e770b17d8b0557f0aa85cf8c63fd52f1a61af5b27ec0b7ffee", size = 8456252, upload-time = "2025-05-08T19:10:11.958Z" }, + { url = "https://files.pythonhosted.org/packages/c4/91/ba0ae1ff4b3f30972ad01cd4a8029e70a0ec3b8ea5be04764b128b66f763/matplotlib-3.10.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed70453fd99733293ace1aec568255bc51c6361cb0da94fa5ebf0649fdb2150a", size = 8601321, upload-time = "2025-05-08T19:10:14.47Z" }, + { url = "https://files.pythonhosted.org/packages/d2/88/d636041eb54a84b889e11872d91f7cbf036b3b0e194a70fa064eb8b04f7a/matplotlib-3.10.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:dbed9917b44070e55640bd13419de83b4c918e52d97561544814ba463811cbc7", size = 9406972, upload-time = "2025-05-08T19:10:16.569Z" }, + { url = "https://files.pythonhosted.org/packages/b1/79/0d1c165eac44405a86478082e225fce87874f7198300bbebc55faaf6d28d/matplotlib-3.10.3-cp312-cp312-win_amd64.whl", hash = "sha256:cf37d8c6ef1a48829443e8ba5227b44236d7fcaf7647caa3178a4ff9f7a5be05", size = 8067954, upload-time = "2025-05-08T19:10:18.663Z" }, + { url = "https://files.pythonhosted.org/packages/3b/c1/23cfb566a74c696a3b338d8955c549900d18fe2b898b6e94d682ca21e7c2/matplotlib-3.10.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:9f2efccc8dcf2b86fc4ee849eea5dcaecedd0773b30f47980dc0cbeabf26ec84", size = 8180318, upload-time = "2025-05-08T19:10:20.426Z" }, + { url = "https://files.pythonhosted.org/packages/6c/0c/02f1c3b66b30da9ee343c343acbb6251bef5b01d34fad732446eaadcd108/matplotlib-3.10.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3ddbba06a6c126e3301c3d272a99dcbe7f6c24c14024e80307ff03791a5f294e", size = 8051132, upload-time = "2025-05-08T19:10:22.569Z" }, + { url = "https://files.pythonhosted.org/packages/b4/ab/8db1a5ac9b3a7352fb914133001dae889f9fcecb3146541be46bed41339c/matplotlib-3.10.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:748302b33ae9326995b238f606e9ed840bf5886ebafcb233775d946aa8107a15", size = 8457633, upload-time = "2025-05-08T19:10:24.749Z" }, + { url = "https://files.pythonhosted.org/packages/f5/64/41c4367bcaecbc03ef0d2a3ecee58a7065d0a36ae1aa817fe573a2da66d4/matplotlib-3.10.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a80fcccbef63302c0efd78042ea3c2436104c5b1a4d3ae20f864593696364ac7", size = 8601031, upload-time = "2025-05-08T19:10:27.03Z" }, + { url = "https://files.pythonhosted.org/packages/12/6f/6cc79e9e5ab89d13ed64da28898e40fe5b105a9ab9c98f83abd24e46d7d7/matplotlib-3.10.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:55e46cbfe1f8586adb34f7587c3e4f7dedc59d5226719faf6cb54fc24f2fd52d", size = 9406988, upload-time = "2025-05-08T19:10:29.056Z" }, + { url = "https://files.pythonhosted.org/packages/b1/0f/eed564407bd4d935ffabf561ed31099ed609e19287409a27b6d336848653/matplotlib-3.10.3-cp313-cp313-win_amd64.whl", hash = "sha256:151d89cb8d33cb23345cd12490c76fd5d18a56581a16d950b48c6ff19bb2ab93", size = 8068034, upload-time = "2025-05-08T19:10:31.221Z" }, + { url = "https://files.pythonhosted.org/packages/3e/e5/2f14791ff69b12b09e9975e1d116d9578ac684460860ce542c2588cb7a1c/matplotlib-3.10.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:c26dd9834e74d164d06433dc7be5d75a1e9890b926b3e57e74fa446e1a62c3e2", size = 8218223, upload-time = "2025-05-08T19:10:33.114Z" }, + { url = "https://files.pythonhosted.org/packages/5c/08/30a94afd828b6e02d0a52cae4a29d6e9ccfcf4c8b56cc28b021d3588873e/matplotlib-3.10.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:24853dad5b8c84c8c2390fc31ce4858b6df504156893292ce8092d190ef8151d", size = 8094985, upload-time = "2025-05-08T19:10:35.337Z" }, + { url = "https://files.pythonhosted.org/packages/89/44/f3bc6b53066c889d7a1a3ea8094c13af6a667c5ca6220ec60ecceec2dabe/matplotlib-3.10.3-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:68f7878214d369d7d4215e2a9075fef743be38fa401d32e6020bab2dfabaa566", size = 8483109, upload-time = "2025-05-08T19:10:37.611Z" }, + { url = "https://files.pythonhosted.org/packages/ba/c7/473bc559beec08ebee9f86ca77a844b65747e1a6c2691e8c92e40b9f42a8/matplotlib-3.10.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6929fc618cb6db9cb75086f73b3219bbb25920cb24cee2ea7a12b04971a4158", size = 8618082, upload-time = "2025-05-08T19:10:39.892Z" }, + { url = "https://files.pythonhosted.org/packages/d8/e9/6ce8edd264c8819e37bbed8172e0ccdc7107fe86999b76ab5752276357a4/matplotlib-3.10.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:6c7818292a5cc372a2dc4c795e5c356942eb8350b98ef913f7fda51fe175ac5d", size = 9413699, upload-time = "2025-05-08T19:10:42.376Z" }, + { url = "https://files.pythonhosted.org/packages/1b/92/9a45c91089c3cf690b5badd4be81e392ff086ccca8a1d4e3a08463d8a966/matplotlib-3.10.3-cp313-cp313t-win_amd64.whl", hash = "sha256:4f23ffe95c5667ef8a2b56eea9b53db7f43910fa4a2d5472ae0f72b64deab4d5", size = 8139044, upload-time = "2025-05-08T19:10:44.551Z" }, + { url = "https://files.pythonhosted.org/packages/3d/d1/f54d43e95384b312ffa4a74a4326c722f3b8187aaaa12e9a84cdf3037131/matplotlib-3.10.3-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:86ab63d66bbc83fdb6733471d3bff40897c1e9921cba112accd748eee4bce5e4", size = 8162896, upload-time = "2025-05-08T19:10:46.432Z" }, + { url = "https://files.pythonhosted.org/packages/24/a4/fbfc00c2346177c95b353dcf9b5a004106abe8730a62cb6f27e79df0a698/matplotlib-3.10.3-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:a48f9c08bf7444b5d2391a83e75edb464ccda3c380384b36532a0962593a1751", size = 8039702, upload-time = "2025-05-08T19:10:49.634Z" }, + { url = "https://files.pythonhosted.org/packages/6a/b9/59e120d24a2ec5fc2d30646adb2efb4621aab3c6d83d66fb2a7a182db032/matplotlib-3.10.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cb73d8aa75a237457988f9765e4dfe1c0d2453c5ca4eabc897d4309672c8e014", size = 8594298, upload-time = "2025-05-08T19:10:51.738Z" }, +] + +[[package]] +name = "matplotlib-inline" +version = "0.1.7" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/99/5b/a36a337438a14116b16480db471ad061c36c3694df7c2084a0da7ba538b7/matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90", size = 8159, upload-time = "2024-04-15T13:44:44.803Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8f/8e/9ad090d3553c280a8060fbf6e24dc1c0c29704ee7d1c372f0c174aa59285/matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca", size = 9899, upload-time = "2024-04-15T13:44:43.265Z" }, +] + +[[package]] +name = "mistune" +version = "3.1.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/c4/79/bda47f7dd7c3c55770478d6d02c9960c430b0cf1773b72366ff89126ea31/mistune-3.1.3.tar.gz", hash = "sha256:a7035c21782b2becb6be62f8f25d3df81ccb4d6fa477a6525b15af06539f02a0", size = 94347, upload-time = "2025-03-19T14:27:24.955Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/01/4d/23c4e4f09da849e127e9f123241946c23c1e30f45a88366879e064211815/mistune-3.1.3-py3-none-any.whl", hash = "sha256:1a32314113cff28aa6432e99e522677c8587fd83e3d51c29b82a52409c842bd9", size = 53410, upload-time = "2025-03-19T14:27:23.451Z" }, +] + +[[package]] +name = "more-itertools" +version = "10.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ce/a0/834b0cebabbfc7e311f30b46c8188790a37f89fc8d756660346fe5abfd09/more_itertools-10.7.0.tar.gz", hash = "sha256:9fddd5403be01a94b204faadcff459ec3568cf110265d3c54323e1e866ad29d3", size = 127671, upload-time = "2025-04-22T14:17:41.838Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2b/9f/7ba6f94fc1e9ac3d2b853fdff3035fb2fa5afbed898c4a72b8a020610594/more_itertools-10.7.0-py3-none-any.whl", hash = "sha256:d43980384673cb07d2f7d2d918c616b30c659c089ee23953f601d6609c67510e", size = 65278, upload-time = "2025-04-22T14:17:40.49Z" }, +] + +[[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 = "msgpack" +version = "1.1.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/cb/d0/7555686ae7ff5731205df1012ede15dd9d927f6227ea151e901c7406af4f/msgpack-1.1.0.tar.gz", hash = "sha256:dd432ccc2c72b914e4cb77afce64aab761c1137cc698be3984eee260bcb2896e", size = 167260, upload-time = "2024-09-10T04:25:52.197Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/4b/f9/a892a6038c861fa849b11a2bb0502c07bc698ab6ea53359e5771397d883b/msgpack-1.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7ad442d527a7e358a469faf43fda45aaf4ac3249c8310a82f0ccff9164e5dccd", size = 150428, upload-time = "2024-09-10T04:25:43.089Z" }, + { url = "https://files.pythonhosted.org/packages/df/7a/d174cc6a3b6bb85556e6a046d3193294a92f9a8e583cdbd46dc8a1d7e7f4/msgpack-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:74bed8f63f8f14d75eec75cf3d04ad581da6b914001b474a5d3cd3372c8cc27d", size = 84131, upload-time = "2024-09-10T04:25:30.22Z" }, + { url = "https://files.pythonhosted.org/packages/08/52/bf4fbf72f897a23a56b822997a72c16de07d8d56d7bf273242f884055682/msgpack-1.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:914571a2a5b4e7606997e169f64ce53a8b1e06f2cf2c3a7273aa106236d43dd5", size = 81215, upload-time = "2024-09-10T04:24:54.329Z" }, + { url = "https://files.pythonhosted.org/packages/02/95/dc0044b439b518236aaf012da4677c1b8183ce388411ad1b1e63c32d8979/msgpack-1.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c921af52214dcbb75e6bdf6a661b23c3e6417f00c603dd2070bccb5c3ef499f5", size = 371229, upload-time = "2024-09-10T04:25:50.907Z" }, + { url = "https://files.pythonhosted.org/packages/ff/75/09081792db60470bef19d9c2be89f024d366b1e1973c197bb59e6aabc647/msgpack-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d8ce0b22b890be5d252de90d0e0d119f363012027cf256185fc3d474c44b1b9e", size = 378034, upload-time = "2024-09-10T04:25:22.097Z" }, + { url = "https://files.pythonhosted.org/packages/32/d3/c152e0c55fead87dd948d4b29879b0f14feeeec92ef1fd2ec21b107c3f49/msgpack-1.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:73322a6cc57fcee3c0c57c4463d828e9428275fb85a27aa2aa1a92fdc42afd7b", size = 363070, upload-time = "2024-09-10T04:24:43.957Z" }, + { url = "https://files.pythonhosted.org/packages/d9/2c/82e73506dd55f9e43ac8aa007c9dd088c6f0de2aa19e8f7330e6a65879fc/msgpack-1.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e1f3c3d21f7cf67bcf2da8e494d30a75e4cf60041d98b3f79875afb5b96f3a3f", size = 359863, upload-time = "2024-09-10T04:24:51.535Z" }, + { url = "https://files.pythonhosted.org/packages/cb/a0/3d093b248837094220e1edc9ec4337de3443b1cfeeb6e0896af8ccc4cc7a/msgpack-1.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:64fc9068d701233effd61b19efb1485587560b66fe57b3e50d29c5d78e7fef68", size = 368166, upload-time = "2024-09-10T04:24:19.907Z" }, + { url = "https://files.pythonhosted.org/packages/e4/13/7646f14f06838b406cf5a6ddbb7e8dc78b4996d891ab3b93c33d1ccc8678/msgpack-1.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:42f754515e0f683f9c79210a5d1cad631ec3d06cea5172214d2176a42e67e19b", size = 370105, upload-time = "2024-09-10T04:25:35.141Z" }, + { url = "https://files.pythonhosted.org/packages/67/fa/dbbd2443e4578e165192dabbc6a22c0812cda2649261b1264ff515f19f15/msgpack-1.1.0-cp310-cp310-win32.whl", hash = "sha256:3df7e6b05571b3814361e8464f9304c42d2196808e0119f55d0d3e62cd5ea044", size = 68513, upload-time = "2024-09-10T04:24:36.099Z" }, + { url = "https://files.pythonhosted.org/packages/24/ce/c2c8fbf0ded750cb63cbcbb61bc1f2dfd69e16dca30a8af8ba80ec182dcd/msgpack-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:685ec345eefc757a7c8af44a3032734a739f8c45d1b0ac45efc5d8977aa4720f", size = 74687, upload-time = "2024-09-10T04:24:23.394Z" }, + { url = "https://files.pythonhosted.org/packages/b7/5e/a4c7154ba65d93be91f2f1e55f90e76c5f91ccadc7efc4341e6f04c8647f/msgpack-1.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3d364a55082fb2a7416f6c63ae383fbd903adb5a6cf78c5b96cc6316dc1cedc7", size = 150803, upload-time = "2024-09-10T04:24:40.911Z" }, + { url = "https://files.pythonhosted.org/packages/60/c2/687684164698f1d51c41778c838d854965dd284a4b9d3a44beba9265c931/msgpack-1.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:79ec007767b9b56860e0372085f8504db5d06bd6a327a335449508bbee9648fa", size = 84343, upload-time = "2024-09-10T04:24:50.283Z" }, + { url = "https://files.pythonhosted.org/packages/42/ae/d3adea9bb4a1342763556078b5765e666f8fdf242e00f3f6657380920972/msgpack-1.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6ad622bf7756d5a497d5b6836e7fc3752e2dd6f4c648e24b1803f6048596f701", size = 81408, upload-time = "2024-09-10T04:25:12.774Z" }, + { url = "https://files.pythonhosted.org/packages/dc/17/6313325a6ff40ce9c3207293aee3ba50104aed6c2c1559d20d09e5c1ff54/msgpack-1.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e59bca908d9ca0de3dc8684f21ebf9a690fe47b6be93236eb40b99af28b6ea6", size = 396096, upload-time = "2024-09-10T04:24:37.245Z" }, + { url = "https://files.pythonhosted.org/packages/a8/a1/ad7b84b91ab5a324e707f4c9761633e357820b011a01e34ce658c1dda7cc/msgpack-1.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e1da8f11a3dd397f0a32c76165cf0c4eb95b31013a94f6ecc0b280c05c91b59", size = 403671, upload-time = "2024-09-10T04:25:10.201Z" }, + { url = "https://files.pythonhosted.org/packages/bb/0b/fd5b7c0b308bbf1831df0ca04ec76fe2f5bf6319833646b0a4bd5e9dc76d/msgpack-1.1.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:452aff037287acb1d70a804ffd022b21fa2bb7c46bee884dbc864cc9024128a0", size = 387414, upload-time = "2024-09-10T04:25:27.552Z" }, + { url = "https://files.pythonhosted.org/packages/f0/03/ff8233b7c6e9929a1f5da3c7860eccd847e2523ca2de0d8ef4878d354cfa/msgpack-1.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8da4bf6d54ceed70e8861f833f83ce0814a2b72102e890cbdfe4b34764cdd66e", size = 383759, upload-time = "2024-09-10T04:25:03.366Z" }, + { url = "https://files.pythonhosted.org/packages/1f/1b/eb82e1fed5a16dddd9bc75f0854b6e2fe86c0259c4353666d7fab37d39f4/msgpack-1.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:41c991beebf175faf352fb940bf2af9ad1fb77fd25f38d9142053914947cdbf6", size = 394405, upload-time = "2024-09-10T04:25:07.348Z" }, + { url = "https://files.pythonhosted.org/packages/90/2e/962c6004e373d54ecf33d695fb1402f99b51832631e37c49273cc564ffc5/msgpack-1.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a52a1f3a5af7ba1c9ace055b659189f6c669cf3657095b50f9602af3a3ba0fe5", size = 396041, upload-time = "2024-09-10T04:25:48.311Z" }, + { url = "https://files.pythonhosted.org/packages/f8/20/6e03342f629474414860c48aeffcc2f7f50ddaf351d95f20c3f1c67399a8/msgpack-1.1.0-cp311-cp311-win32.whl", hash = "sha256:58638690ebd0a06427c5fe1a227bb6b8b9fdc2bd07701bec13c2335c82131a88", size = 68538, upload-time = "2024-09-10T04:24:29.953Z" }, + { url = "https://files.pythonhosted.org/packages/aa/c4/5a582fc9a87991a3e6f6800e9bb2f3c82972912235eb9539954f3e9997c7/msgpack-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:fd2906780f25c8ed5d7b323379f6138524ba793428db5d0e9d226d3fa6aa1788", size = 74871, upload-time = "2024-09-10T04:25:44.823Z" }, + { url = "https://files.pythonhosted.org/packages/e1/d6/716b7ca1dbde63290d2973d22bbef1b5032ca634c3ff4384a958ec3f093a/msgpack-1.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:d46cf9e3705ea9485687aa4001a76e44748b609d260af21c4ceea7f2212a501d", size = 152421, upload-time = "2024-09-10T04:25:49.63Z" }, + { url = "https://files.pythonhosted.org/packages/70/da/5312b067f6773429cec2f8f08b021c06af416bba340c912c2ec778539ed6/msgpack-1.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5dbad74103df937e1325cc4bfeaf57713be0b4f15e1c2da43ccdd836393e2ea2", size = 85277, upload-time = "2024-09-10T04:24:48.562Z" }, + { url = "https://files.pythonhosted.org/packages/28/51/da7f3ae4462e8bb98af0d5bdf2707f1b8c65a0d4f496e46b6afb06cbc286/msgpack-1.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:58dfc47f8b102da61e8949708b3eafc3504509a5728f8b4ddef84bd9e16ad420", size = 82222, upload-time = "2024-09-10T04:25:36.49Z" }, + { url = "https://files.pythonhosted.org/packages/33/af/dc95c4b2a49cff17ce47611ca9ba218198806cad7796c0b01d1e332c86bb/msgpack-1.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4676e5be1b472909b2ee6356ff425ebedf5142427842aa06b4dfd5117d1ca8a2", size = 392971, upload-time = "2024-09-10T04:24:58.129Z" }, + { url = "https://files.pythonhosted.org/packages/f1/54/65af8de681fa8255402c80eda2a501ba467921d5a7a028c9c22a2c2eedb5/msgpack-1.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17fb65dd0bec285907f68b15734a993ad3fc94332b5bb21b0435846228de1f39", size = 401403, upload-time = "2024-09-10T04:25:40.428Z" }, + { url = "https://files.pythonhosted.org/packages/97/8c/e333690777bd33919ab7024269dc3c41c76ef5137b211d776fbb404bfead/msgpack-1.1.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a51abd48c6d8ac89e0cfd4fe177c61481aca2d5e7ba42044fd218cfd8ea9899f", size = 385356, upload-time = "2024-09-10T04:25:31.406Z" }, + { url = "https://files.pythonhosted.org/packages/57/52/406795ba478dc1c890559dd4e89280fa86506608a28ccf3a72fbf45df9f5/msgpack-1.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:2137773500afa5494a61b1208619e3871f75f27b03bcfca7b3a7023284140247", size = 383028, upload-time = "2024-09-10T04:25:17.08Z" }, + { url = "https://files.pythonhosted.org/packages/e7/69/053b6549bf90a3acadcd8232eae03e2fefc87f066a5b9fbb37e2e608859f/msgpack-1.1.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:398b713459fea610861c8a7b62a6fec1882759f308ae0795b5413ff6a160cf3c", size = 391100, upload-time = "2024-09-10T04:25:08.993Z" }, + { url = "https://files.pythonhosted.org/packages/23/f0/d4101d4da054f04274995ddc4086c2715d9b93111eb9ed49686c0f7ccc8a/msgpack-1.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:06f5fd2f6bb2a7914922d935d3b8bb4a7fff3a9a91cfce6d06c13bc42bec975b", size = 394254, upload-time = "2024-09-10T04:25:06.048Z" }, + { url = "https://files.pythonhosted.org/packages/1c/12/cf07458f35d0d775ff3a2dc5559fa2e1fcd06c46f1ef510e594ebefdca01/msgpack-1.1.0-cp312-cp312-win32.whl", hash = "sha256:ad33e8400e4ec17ba782f7b9cf868977d867ed784a1f5f2ab46e7ba53b6e1e1b", size = 69085, upload-time = "2024-09-10T04:25:01.494Z" }, + { url = "https://files.pythonhosted.org/packages/73/80/2708a4641f7d553a63bc934a3eb7214806b5b39d200133ca7f7afb0a53e8/msgpack-1.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:115a7af8ee9e8cddc10f87636767857e7e3717b7a2e97379dc2054712693e90f", size = 75347, upload-time = "2024-09-10T04:25:33.106Z" }, + { url = "https://files.pythonhosted.org/packages/c8/b0/380f5f639543a4ac413e969109978feb1f3c66e931068f91ab6ab0f8be00/msgpack-1.1.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:071603e2f0771c45ad9bc65719291c568d4edf120b44eb36324dcb02a13bfddf", size = 151142, upload-time = "2024-09-10T04:24:59.656Z" }, + { url = "https://files.pythonhosted.org/packages/c8/ee/be57e9702400a6cb2606883d55b05784fada898dfc7fd12608ab1fdb054e/msgpack-1.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0f92a83b84e7c0749e3f12821949d79485971f087604178026085f60ce109330", size = 84523, upload-time = "2024-09-10T04:25:37.924Z" }, + { url = "https://files.pythonhosted.org/packages/7e/3a/2919f63acca3c119565449681ad08a2f84b2171ddfcff1dba6959db2cceb/msgpack-1.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:4a1964df7b81285d00a84da4e70cb1383f2e665e0f1f2a7027e683956d04b734", size = 81556, upload-time = "2024-09-10T04:24:28.296Z" }, + { url = "https://files.pythonhosted.org/packages/7c/43/a11113d9e5c1498c145a8925768ea2d5fce7cbab15c99cda655aa09947ed/msgpack-1.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:59caf6a4ed0d164055ccff8fe31eddc0ebc07cf7326a2aaa0dbf7a4001cd823e", size = 392105, upload-time = "2024-09-10T04:25:20.153Z" }, + { url = "https://files.pythonhosted.org/packages/2d/7b/2c1d74ca6c94f70a1add74a8393a0138172207dc5de6fc6269483519d048/msgpack-1.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0907e1a7119b337971a689153665764adc34e89175f9a34793307d9def08e6ca", size = 399979, upload-time = "2024-09-10T04:25:41.75Z" }, + { url = "https://files.pythonhosted.org/packages/82/8c/cf64ae518c7b8efc763ca1f1348a96f0e37150061e777a8ea5430b413a74/msgpack-1.1.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:65553c9b6da8166e819a6aa90ad15288599b340f91d18f60b2061f402b9a4915", size = 383816, upload-time = "2024-09-10T04:24:45.826Z" }, + { url = "https://files.pythonhosted.org/packages/69/86/a847ef7a0f5ef3fa94ae20f52a4cacf596a4e4a010197fbcc27744eb9a83/msgpack-1.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:7a946a8992941fea80ed4beae6bff74ffd7ee129a90b4dd5cf9c476a30e9708d", size = 380973, upload-time = "2024-09-10T04:25:04.689Z" }, + { url = "https://files.pythonhosted.org/packages/aa/90/c74cf6e1126faa93185d3b830ee97246ecc4fe12cf9d2d31318ee4246994/msgpack-1.1.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:4b51405e36e075193bc051315dbf29168d6141ae2500ba8cd80a522964e31434", size = 387435, upload-time = "2024-09-10T04:24:17.879Z" }, + { url = "https://files.pythonhosted.org/packages/7a/40/631c238f1f338eb09f4acb0f34ab5862c4e9d7eda11c1b685471a4c5ea37/msgpack-1.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4c01941fd2ff87c2a934ee6055bda4ed353a7846b8d4f341c428109e9fcde8c", size = 399082, upload-time = "2024-09-10T04:25:18.398Z" }, + { url = "https://files.pythonhosted.org/packages/e9/1b/fa8a952be252a1555ed39f97c06778e3aeb9123aa4cccc0fd2acd0b4e315/msgpack-1.1.0-cp313-cp313-win32.whl", hash = "sha256:7c9a35ce2c2573bada929e0b7b3576de647b0defbd25f5139dcdaba0ae35a4cc", size = 69037, upload-time = "2024-09-10T04:24:52.798Z" }, + { url = "https://files.pythonhosted.org/packages/b6/bc/8bd826dd03e022153bfa1766dcdec4976d6c818865ed54223d71f07862b3/msgpack-1.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:bce7d9e614a04d0883af0b3d4d501171fbfca038f12c77fa838d9f198147a23f", size = 75140, upload-time = "2024-09-10T04:24:31.288Z" }, +] + +[[package]] +name = "multidict" +version = "6.4.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/91/2f/a3470242707058fe856fe59241eee5635d79087100b7042a867368863a27/multidict-6.4.4.tar.gz", hash = "sha256:69ee9e6ba214b5245031b76233dd95408a0fd57fdb019ddcc1ead4790932a8e8", size = 90183, upload-time = "2025-05-19T14:16:37.381Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1f/92/0926a5baafa164b5d0ade3cd7932be39310375d7e25c9d7ceca05cb26a45/multidict-6.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8adee3ac041145ffe4488ea73fa0a622b464cc25340d98be76924d0cda8545ff", size = 66052, upload-time = "2025-05-19T14:13:49.944Z" }, + { url = "https://files.pythonhosted.org/packages/b2/54/8a857ae4f8f643ec444d91f419fdd49cc7a90a2ca0e42d86482b604b63bd/multidict-6.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b61e98c3e2a861035aaccd207da585bdcacef65fe01d7a0d07478efac005e028", size = 38867, upload-time = "2025-05-19T14:13:51.92Z" }, + { url = "https://files.pythonhosted.org/packages/9e/5f/63add9069f945c19bc8b217ea6b0f8a1ad9382eab374bb44fae4354b3baf/multidict-6.4.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:75493f28dbadecdbb59130e74fe935288813301a8554dc32f0c631b6bdcdf8b0", size = 38138, upload-time = "2025-05-19T14:13:53.778Z" }, + { url = "https://files.pythonhosted.org/packages/97/8b/fbd9c0fc13966efdb4a47f5bcffff67a4f2a3189fbeead5766eaa4250b20/multidict-6.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ffc3c6a37e048b5395ee235e4a2a0d639c2349dffa32d9367a42fc20d399772", size = 220433, upload-time = "2025-05-19T14:13:55.346Z" }, + { url = "https://files.pythonhosted.org/packages/a9/c4/5132b2d75b3ea2daedb14d10f91028f09f74f5b4d373b242c1b8eec47571/multidict-6.4.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:87cb72263946b301570b0f63855569a24ee8758aaae2cd182aae7d95fbc92ca7", size = 218059, upload-time = "2025-05-19T14:13:56.993Z" }, + { url = "https://files.pythonhosted.org/packages/1a/70/f1e818c7a29b908e2d7b4fafb1d7939a41c64868e79de2982eea0a13193f/multidict-6.4.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9bbf7bd39822fd07e3609b6b4467af4c404dd2b88ee314837ad1830a7f4a8299", size = 231120, upload-time = "2025-05-19T14:13:58.333Z" }, + { url = "https://files.pythonhosted.org/packages/b4/7e/95a194d85f27d5ef9cbe48dff9ded722fc6d12fedf641ec6e1e680890be7/multidict-6.4.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d1f7cbd4f1f44ddf5fd86a8675b7679176eae770f2fc88115d6dddb6cefb59bc", size = 227457, upload-time = "2025-05-19T14:13:59.663Z" }, + { url = "https://files.pythonhosted.org/packages/25/2b/590ad220968d1babb42f265debe7be5c5c616df6c5688c995a06d8a9b025/multidict-6.4.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb5ac9e5bfce0e6282e7f59ff7b7b9a74aa8e5c60d38186a4637f5aa764046ad", size = 219111, upload-time = "2025-05-19T14:14:01.019Z" }, + { url = "https://files.pythonhosted.org/packages/e0/f0/b07682b995d3fb5313f339b59d7de02db19ba0c02d1f77c27bdf8212d17c/multidict-6.4.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4efc31dfef8c4eeb95b6b17d799eedad88c4902daba39ce637e23a17ea078915", size = 213012, upload-time = "2025-05-19T14:14:02.396Z" }, + { url = "https://files.pythonhosted.org/packages/24/56/c77b5f36feef2ec92f1119756e468ac9c3eebc35aa8a4c9e51df664cbbc9/multidict-6.4.4-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:9fcad2945b1b91c29ef2b4050f590bfcb68d8ac8e0995a74e659aa57e8d78e01", size = 225408, upload-time = "2025-05-19T14:14:04.826Z" }, + { url = "https://files.pythonhosted.org/packages/cc/b3/e8189b82af9b198b47bc637766208fc917189eea91d674bad417e657bbdf/multidict-6.4.4-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:d877447e7368c7320832acb7159557e49b21ea10ffeb135c1077dbbc0816b598", size = 214396, upload-time = "2025-05-19T14:14:06.187Z" }, + { url = "https://files.pythonhosted.org/packages/20/e0/200d14c84e35ae13ee99fd65dc106e1a1acb87a301f15e906fc7d5b30c17/multidict-6.4.4-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:33a12ebac9f380714c298cbfd3e5b9c0c4e89c75fe612ae496512ee51028915f", size = 222237, upload-time = "2025-05-19T14:14:07.778Z" }, + { url = "https://files.pythonhosted.org/packages/13/f3/bb3df40045ca8262694a3245298732ff431dc781414a89a6a364ebac6840/multidict-6.4.4-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:0f14ea68d29b43a9bf37953881b1e3eb75b2739e896ba4a6aa4ad4c5b9ffa145", size = 231425, upload-time = "2025-05-19T14:14:09.516Z" }, + { url = "https://files.pythonhosted.org/packages/85/3b/538563dc18514384dac169bcba938753ad9ab4d4c8d49b55d6ae49fb2579/multidict-6.4.4-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:0327ad2c747a6600e4797d115d3c38a220fdb28e54983abe8964fd17e95ae83c", size = 226251, upload-time = "2025-05-19T14:14:10.82Z" }, + { url = "https://files.pythonhosted.org/packages/56/79/77e1a65513f09142358f1beb1d4cbc06898590b34a7de2e47023e3c5a3a2/multidict-6.4.4-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:d1a20707492db9719a05fc62ee215fd2c29b22b47c1b1ba347f9abc831e26683", size = 220363, upload-time = "2025-05-19T14:14:12.638Z" }, + { url = "https://files.pythonhosted.org/packages/16/57/67b0516c3e348f8daaa79c369b3de4359a19918320ab82e2e586a1c624ef/multidict-6.4.4-cp310-cp310-win32.whl", hash = "sha256:d83f18315b9fca5db2452d1881ef20f79593c4aa824095b62cb280019ef7aa3d", size = 35175, upload-time = "2025-05-19T14:14:14.805Z" }, + { url = "https://files.pythonhosted.org/packages/86/5a/4ed8fec642d113fa653777cda30ef67aa5c8a38303c091e24c521278a6c6/multidict-6.4.4-cp310-cp310-win_amd64.whl", hash = "sha256:9c17341ee04545fd962ae07330cb5a39977294c883485c8d74634669b1f7fe04", size = 38678, upload-time = "2025-05-19T14:14:16.949Z" }, + { url = "https://files.pythonhosted.org/packages/19/1b/4c6e638195851524a63972c5773c7737bea7e47b1ba402186a37773acee2/multidict-6.4.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:4f5f29794ac0e73d2a06ac03fd18870adc0135a9d384f4a306a951188ed02f95", size = 65515, upload-time = "2025-05-19T14:14:19.767Z" }, + { url = "https://files.pythonhosted.org/packages/25/d5/10e6bca9a44b8af3c7f920743e5fc0c2bcf8c11bf7a295d4cfe00b08fb46/multidict-6.4.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c04157266344158ebd57b7120d9b0b35812285d26d0e78193e17ef57bfe2979a", size = 38609, upload-time = "2025-05-19T14:14:21.538Z" }, + { url = "https://files.pythonhosted.org/packages/26/b4/91fead447ccff56247edc7f0535fbf140733ae25187a33621771ee598a18/multidict-6.4.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bb61ffd3ab8310d93427e460f565322c44ef12769f51f77277b4abad7b6f7223", size = 37871, upload-time = "2025-05-19T14:14:22.666Z" }, + { url = "https://files.pythonhosted.org/packages/3b/37/cbc977cae59277e99d15bbda84cc53b5e0c4929ffd91d958347200a42ad0/multidict-6.4.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5e0ba18a9afd495f17c351d08ebbc4284e9c9f7971d715f196b79636a4d0de44", size = 226661, upload-time = "2025-05-19T14:14:24.124Z" }, + { url = "https://files.pythonhosted.org/packages/15/cd/7e0b57fbd4dc2fc105169c4ecce5be1a63970f23bb4ec8c721b67e11953d/multidict-6.4.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:9faf1b1dcaadf9f900d23a0e6d6c8eadd6a95795a0e57fcca73acce0eb912065", size = 223422, upload-time = "2025-05-19T14:14:25.437Z" }, + { url = "https://files.pythonhosted.org/packages/f1/01/1de268da121bac9f93242e30cd3286f6a819e5f0b8896511162d6ed4bf8d/multidict-6.4.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a4d1cb1327c6082c4fce4e2a438483390964c02213bc6b8d782cf782c9b1471f", size = 235447, upload-time = "2025-05-19T14:14:26.793Z" }, + { url = "https://files.pythonhosted.org/packages/d2/8c/8b9a5e4aaaf4f2de14e86181a3a3d7b105077f668b6a06f043ec794f684c/multidict-6.4.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:941f1bec2f5dbd51feeb40aea654c2747f811ab01bdd3422a48a4e4576b7d76a", size = 231455, upload-time = "2025-05-19T14:14:28.149Z" }, + { url = "https://files.pythonhosted.org/packages/35/db/e1817dcbaa10b319c412769cf999b1016890849245d38905b73e9c286862/multidict-6.4.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5f8a146184da7ea12910a4cec51ef85e44f6268467fb489c3caf0cd512f29c2", size = 223666, upload-time = "2025-05-19T14:14:29.584Z" }, + { url = "https://files.pythonhosted.org/packages/4a/e1/66e8579290ade8a00e0126b3d9a93029033ffd84f0e697d457ed1814d0fc/multidict-6.4.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:232b7237e57ec3c09be97206bfb83a0aa1c5d7d377faa019c68a210fa35831f1", size = 217392, upload-time = "2025-05-19T14:14:30.961Z" }, + { url = "https://files.pythonhosted.org/packages/7b/6f/f8639326069c24a48c7747c2a5485d37847e142a3f741ff3340c88060a9a/multidict-6.4.4-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:55ae0721c1513e5e3210bca4fc98456b980b0c2c016679d3d723119b6b202c42", size = 228969, upload-time = "2025-05-19T14:14:32.672Z" }, + { url = "https://files.pythonhosted.org/packages/d2/c3/3d58182f76b960eeade51c89fcdce450f93379340457a328e132e2f8f9ed/multidict-6.4.4-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:51d662c072579f63137919d7bb8fc250655ce79f00c82ecf11cab678f335062e", size = 217433, upload-time = "2025-05-19T14:14:34.016Z" }, + { url = "https://files.pythonhosted.org/packages/e1/4b/f31a562906f3bd375f3d0e83ce314e4a660c01b16c2923e8229b53fba5d7/multidict-6.4.4-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:0e05c39962baa0bb19a6b210e9b1422c35c093b651d64246b6c2e1a7e242d9fd", size = 225418, upload-time = "2025-05-19T14:14:35.376Z" }, + { url = "https://files.pythonhosted.org/packages/99/89/78bb95c89c496d64b5798434a3deee21996114d4d2c28dd65850bf3a691e/multidict-6.4.4-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:d5b1cc3ab8c31d9ebf0faa6e3540fb91257590da330ffe6d2393d4208e638925", size = 235042, upload-time = "2025-05-19T14:14:36.723Z" }, + { url = "https://files.pythonhosted.org/packages/74/91/8780a6e5885a8770442a8f80db86a0887c4becca0e5a2282ba2cae702bc4/multidict-6.4.4-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:93ec84488a384cd7b8a29c2c7f467137d8a73f6fe38bb810ecf29d1ade011a7c", size = 230280, upload-time = "2025-05-19T14:14:38.194Z" }, + { url = "https://files.pythonhosted.org/packages/68/c1/fcf69cabd542eb6f4b892469e033567ee6991d361d77abdc55e3a0f48349/multidict-6.4.4-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b308402608493638763abc95f9dc0030bbd6ac6aff784512e8ac3da73a88af08", size = 223322, upload-time = "2025-05-19T14:14:40.015Z" }, + { url = "https://files.pythonhosted.org/packages/b8/85/5b80bf4b83d8141bd763e1d99142a9cdfd0db83f0739b4797172a4508014/multidict-6.4.4-cp311-cp311-win32.whl", hash = "sha256:343892a27d1a04d6ae455ecece12904d242d299ada01633d94c4f431d68a8c49", size = 35070, upload-time = "2025-05-19T14:14:41.904Z" }, + { url = "https://files.pythonhosted.org/packages/09/66/0bed198ffd590ab86e001f7fa46b740d58cf8ff98c2f254e4a36bf8861ad/multidict-6.4.4-cp311-cp311-win_amd64.whl", hash = "sha256:73484a94f55359780c0f458bbd3c39cb9cf9c182552177d2136e828269dee529", size = 38667, upload-time = "2025-05-19T14:14:43.534Z" }, + { url = "https://files.pythonhosted.org/packages/d2/b5/5675377da23d60875fe7dae6be841787755878e315e2f517235f22f59e18/multidict-6.4.4-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:dc388f75a1c00000824bf28b7633e40854f4127ede80512b44c3cfeeea1839a2", size = 64293, upload-time = "2025-05-19T14:14:44.724Z" }, + { url = "https://files.pythonhosted.org/packages/34/a7/be384a482754bb8c95d2bbe91717bf7ccce6dc38c18569997a11f95aa554/multidict-6.4.4-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:98af87593a666f739d9dba5d0ae86e01b0e1a9cfcd2e30d2d361fbbbd1a9162d", size = 38096, upload-time = "2025-05-19T14:14:45.95Z" }, + { url = "https://files.pythonhosted.org/packages/66/6d/d59854bb4352306145bdfd1704d210731c1bb2c890bfee31fb7bbc1c4c7f/multidict-6.4.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:aff4cafea2d120327d55eadd6b7f1136a8e5a0ecf6fb3b6863e8aca32cd8e50a", size = 37214, upload-time = "2025-05-19T14:14:47.158Z" }, + { url = "https://files.pythonhosted.org/packages/99/e0/c29d9d462d7cfc5fc8f9bf24f9c6843b40e953c0b55e04eba2ad2cf54fba/multidict-6.4.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:169c4ba7858176b797fe551d6e99040c531c775d2d57b31bcf4de6d7a669847f", size = 224686, upload-time = "2025-05-19T14:14:48.366Z" }, + { url = "https://files.pythonhosted.org/packages/dc/4a/da99398d7fd8210d9de068f9a1b5f96dfaf67d51e3f2521f17cba4ee1012/multidict-6.4.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:b9eb4c59c54421a32b3273d4239865cb14ead53a606db066d7130ac80cc8ec93", size = 231061, upload-time = "2025-05-19T14:14:49.952Z" }, + { url = "https://files.pythonhosted.org/packages/21/f5/ac11add39a0f447ac89353e6ca46666847051103649831c08a2800a14455/multidict-6.4.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7cf3bd54c56aa16fdb40028d545eaa8d051402b61533c21e84046e05513d5780", size = 232412, upload-time = "2025-05-19T14:14:51.812Z" }, + { url = "https://files.pythonhosted.org/packages/d9/11/4b551e2110cded705a3c13a1d4b6a11f73891eb5a1c449f1b2b6259e58a6/multidict-6.4.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f682c42003c7264134bfe886376299db4cc0c6cd06a3295b41b347044bcb5482", size = 231563, upload-time = "2025-05-19T14:14:53.262Z" }, + { url = "https://files.pythonhosted.org/packages/4c/02/751530c19e78fe73b24c3da66618eda0aa0d7f6e7aa512e46483de6be210/multidict-6.4.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a920f9cf2abdf6e493c519492d892c362007f113c94da4c239ae88429835bad1", size = 223811, upload-time = "2025-05-19T14:14:55.232Z" }, + { url = "https://files.pythonhosted.org/packages/c7/cb/2be8a214643056289e51ca356026c7b2ce7225373e7a1f8c8715efee8988/multidict-6.4.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:530d86827a2df6504526106b4c104ba19044594f8722d3e87714e847c74a0275", size = 216524, upload-time = "2025-05-19T14:14:57.226Z" }, + { url = "https://files.pythonhosted.org/packages/19/f3/6d5011ec375c09081f5250af58de85f172bfcaafebff286d8089243c4bd4/multidict-6.4.4-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:ecde56ea2439b96ed8a8d826b50c57364612ddac0438c39e473fafad7ae1c23b", size = 229012, upload-time = "2025-05-19T14:14:58.597Z" }, + { url = "https://files.pythonhosted.org/packages/67/9c/ca510785df5cf0eaf5b2a8132d7d04c1ce058dcf2c16233e596ce37a7f8e/multidict-6.4.4-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:dc8c9736d8574b560634775ac0def6bdc1661fc63fa27ffdfc7264c565bcb4f2", size = 226765, upload-time = "2025-05-19T14:15:00.048Z" }, + { url = "https://files.pythonhosted.org/packages/36/c8/ca86019994e92a0f11e642bda31265854e6ea7b235642f0477e8c2e25c1f/multidict-6.4.4-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:7f3d3b3c34867579ea47cbd6c1f2ce23fbfd20a273b6f9e3177e256584f1eacc", size = 222888, upload-time = "2025-05-19T14:15:01.568Z" }, + { url = "https://files.pythonhosted.org/packages/c6/67/bc25a8e8bd522935379066950ec4e2277f9b236162a73548a2576d4b9587/multidict-6.4.4-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:87a728af265e08f96b6318ebe3c0f68b9335131f461efab2fc64cc84a44aa6ed", size = 234041, upload-time = "2025-05-19T14:15:03.759Z" }, + { url = "https://files.pythonhosted.org/packages/f1/a0/70c4c2d12857fccbe607b334b7ee28b6b5326c322ca8f73ee54e70d76484/multidict-6.4.4-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:9f193eeda1857f8e8d3079a4abd258f42ef4a4bc87388452ed1e1c4d2b0c8740", size = 231046, upload-time = "2025-05-19T14:15:05.698Z" }, + { url = "https://files.pythonhosted.org/packages/c1/0f/52954601d02d39742aab01d6b92f53c1dd38b2392248154c50797b4df7f1/multidict-6.4.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:be06e73c06415199200e9a2324a11252a3d62030319919cde5e6950ffeccf72e", size = 227106, upload-time = "2025-05-19T14:15:07.124Z" }, + { url = "https://files.pythonhosted.org/packages/af/24/679d83ec4379402d28721790dce818e5d6b9f94ce1323a556fb17fa9996c/multidict-6.4.4-cp312-cp312-win32.whl", hash = "sha256:622f26ea6a7e19b7c48dd9228071f571b2fbbd57a8cd71c061e848f281550e6b", size = 35351, upload-time = "2025-05-19T14:15:08.556Z" }, + { url = "https://files.pythonhosted.org/packages/52/ef/40d98bc5f986f61565f9b345f102409534e29da86a6454eb6b7c00225a13/multidict-6.4.4-cp312-cp312-win_amd64.whl", hash = "sha256:5e2bcda30d5009996ff439e02a9f2b5c3d64a20151d34898c000a6281faa3781", size = 38791, upload-time = "2025-05-19T14:15:09.825Z" }, + { url = "https://files.pythonhosted.org/packages/df/2a/e166d2ffbf4b10131b2d5b0e458f7cee7d986661caceae0de8753042d4b2/multidict-6.4.4-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:82ffabefc8d84c2742ad19c37f02cde5ec2a1ee172d19944d380f920a340e4b9", size = 64123, upload-time = "2025-05-19T14:15:11.044Z" }, + { url = "https://files.pythonhosted.org/packages/8c/96/e200e379ae5b6f95cbae472e0199ea98913f03d8c9a709f42612a432932c/multidict-6.4.4-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:6a2f58a66fe2c22615ad26156354005391e26a2f3721c3621504cd87c1ea87bf", size = 38049, upload-time = "2025-05-19T14:15:12.902Z" }, + { url = "https://files.pythonhosted.org/packages/75/fb/47afd17b83f6a8c7fa863c6d23ac5ba6a0e6145ed8a6bcc8da20b2b2c1d2/multidict-6.4.4-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5883d6ee0fd9d8a48e9174df47540b7545909841ac82354c7ae4cbe9952603bd", size = 37078, upload-time = "2025-05-19T14:15:14.282Z" }, + { url = "https://files.pythonhosted.org/packages/fa/70/1af3143000eddfb19fd5ca5e78393985ed988ac493bb859800fe0914041f/multidict-6.4.4-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9abcf56a9511653fa1d052bfc55fbe53dbee8f34e68bd6a5a038731b0ca42d15", size = 224097, upload-time = "2025-05-19T14:15:15.566Z" }, + { url = "https://files.pythonhosted.org/packages/b1/39/d570c62b53d4fba844e0378ffbcd02ac25ca423d3235047013ba2f6f60f8/multidict-6.4.4-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:6ed5ae5605d4ad5a049fad2a28bb7193400700ce2f4ae484ab702d1e3749c3f9", size = 230768, upload-time = "2025-05-19T14:15:17.308Z" }, + { url = "https://files.pythonhosted.org/packages/fd/f8/ed88f2c4d06f752b015933055eb291d9bc184936903752c66f68fb3c95a7/multidict-6.4.4-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bbfcb60396f9bcfa63e017a180c3105b8c123a63e9d1428a36544e7d37ca9e20", size = 231331, upload-time = "2025-05-19T14:15:18.73Z" }, + { url = "https://files.pythonhosted.org/packages/9c/6f/8e07cffa32f483ab887b0d56bbd8747ac2c1acd00dc0af6fcf265f4a121e/multidict-6.4.4-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b0f1987787f5f1e2076b59692352ab29a955b09ccc433c1f6b8e8e18666f608b", size = 230169, upload-time = "2025-05-19T14:15:20.179Z" }, + { url = "https://files.pythonhosted.org/packages/e6/2b/5dcf173be15e42f330110875a2668ddfc208afc4229097312212dc9c1236/multidict-6.4.4-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d0121ccce8c812047d8d43d691a1ad7641f72c4f730474878a5aeae1b8ead8c", size = 222947, upload-time = "2025-05-19T14:15:21.714Z" }, + { url = "https://files.pythonhosted.org/packages/39/75/4ddcbcebe5ebcd6faa770b629260d15840a5fc07ce8ad295a32e14993726/multidict-6.4.4-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:83ec4967114295b8afd120a8eec579920c882831a3e4c3331d591a8e5bfbbc0f", size = 215761, upload-time = "2025-05-19T14:15:23.242Z" }, + { url = "https://files.pythonhosted.org/packages/6a/c9/55e998ae45ff15c5608e384206aa71a11e1b7f48b64d166db400b14a3433/multidict-6.4.4-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:995f985e2e268deaf17867801b859a282e0448633f1310e3704b30616d269d69", size = 227605, upload-time = "2025-05-19T14:15:24.763Z" }, + { url = "https://files.pythonhosted.org/packages/04/49/c2404eac74497503c77071bd2e6f88c7e94092b8a07601536b8dbe99be50/multidict-6.4.4-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:d832c608f94b9f92a0ec8b7e949be7792a642b6e535fcf32f3e28fab69eeb046", size = 226144, upload-time = "2025-05-19T14:15:26.249Z" }, + { url = "https://files.pythonhosted.org/packages/62/c5/0cd0c3c6f18864c40846aa2252cd69d308699cb163e1c0d989ca301684da/multidict-6.4.4-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:d21c1212171cf7da703c5b0b7a0e85be23b720818aef502ad187d627316d5645", size = 221100, upload-time = "2025-05-19T14:15:28.303Z" }, + { url = "https://files.pythonhosted.org/packages/71/7b/f2f3887bea71739a046d601ef10e689528d4f911d84da873b6be9194ffea/multidict-6.4.4-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:cbebaa076aaecad3d4bb4c008ecc73b09274c952cf6a1b78ccfd689e51f5a5b0", size = 232731, upload-time = "2025-05-19T14:15:30.263Z" }, + { url = "https://files.pythonhosted.org/packages/e5/b3/d9de808349df97fa75ec1372758701b5800ebad3c46ae377ad63058fbcc6/multidict-6.4.4-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:c93a6fb06cc8e5d3628b2b5fda215a5db01e8f08fc15fadd65662d9b857acbe4", size = 229637, upload-time = "2025-05-19T14:15:33.337Z" }, + { url = "https://files.pythonhosted.org/packages/5e/57/13207c16b615eb4f1745b44806a96026ef8e1b694008a58226c2d8f5f0a5/multidict-6.4.4-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8cd8f81f1310182362fb0c7898145ea9c9b08a71081c5963b40ee3e3cac589b1", size = 225594, upload-time = "2025-05-19T14:15:34.832Z" }, + { url = "https://files.pythonhosted.org/packages/3a/e4/d23bec2f70221604f5565000632c305fc8f25ba953e8ce2d8a18842b9841/multidict-6.4.4-cp313-cp313-win32.whl", hash = "sha256:3e9f1cd61a0ab857154205fb0b1f3d3ace88d27ebd1409ab7af5096e409614cd", size = 35359, upload-time = "2025-05-19T14:15:36.246Z" }, + { url = "https://files.pythonhosted.org/packages/a7/7a/cfe1a47632be861b627f46f642c1d031704cc1c0f5c0efbde2ad44aa34bd/multidict-6.4.4-cp313-cp313-win_amd64.whl", hash = "sha256:8ffb40b74400e4455785c2fa37eba434269149ec525fc8329858c862e4b35373", size = 38903, upload-time = "2025-05-19T14:15:37.507Z" }, + { url = "https://files.pythonhosted.org/packages/68/7b/15c259b0ab49938a0a1c8f3188572802704a779ddb294edc1b2a72252e7c/multidict-6.4.4-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:6a602151dbf177be2450ef38966f4be3467d41a86c6a845070d12e17c858a156", size = 68895, upload-time = "2025-05-19T14:15:38.856Z" }, + { url = "https://files.pythonhosted.org/packages/f1/7d/168b5b822bccd88142e0a3ce985858fea612404edd228698f5af691020c9/multidict-6.4.4-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0d2b9712211b860d123815a80b859075d86a4d54787e247d7fbee9db6832cf1c", size = 40183, upload-time = "2025-05-19T14:15:40.197Z" }, + { url = "https://files.pythonhosted.org/packages/e0/b7/d4b8d98eb850ef28a4922ba508c31d90715fd9b9da3801a30cea2967130b/multidict-6.4.4-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:d2fa86af59f8fc1972e121ade052145f6da22758f6996a197d69bb52f8204e7e", size = 39592, upload-time = "2025-05-19T14:15:41.508Z" }, + { url = "https://files.pythonhosted.org/packages/18/28/a554678898a19583548e742080cf55d169733baf57efc48c2f0273a08583/multidict-6.4.4-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50855d03e9e4d66eab6947ba688ffb714616f985838077bc4b490e769e48da51", size = 226071, upload-time = "2025-05-19T14:15:42.877Z" }, + { url = "https://files.pythonhosted.org/packages/ee/dc/7ba6c789d05c310e294f85329efac1bf5b450338d2542498db1491a264df/multidict-6.4.4-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:5bce06b83be23225be1905dcdb6b789064fae92499fbc458f59a8c0e68718601", size = 222597, upload-time = "2025-05-19T14:15:44.412Z" }, + { url = "https://files.pythonhosted.org/packages/24/4f/34eadbbf401b03768dba439be0fb94b0d187facae9142821a3d5599ccb3b/multidict-6.4.4-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:66ed0731f8e5dfd8369a883b6e564aca085fb9289aacabd9decd70568b9a30de", size = 228253, upload-time = "2025-05-19T14:15:46.474Z" }, + { url = "https://files.pythonhosted.org/packages/c0/e6/493225a3cdb0d8d80d43a94503fc313536a07dae54a3f030d279e629a2bc/multidict-6.4.4-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:329ae97fc2f56f44d91bc47fe0972b1f52d21c4b7a2ac97040da02577e2daca2", size = 226146, upload-time = "2025-05-19T14:15:48.003Z" }, + { url = "https://files.pythonhosted.org/packages/2f/70/e411a7254dc3bff6f7e6e004303b1b0591358e9f0b7c08639941e0de8bd6/multidict-6.4.4-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c27e5dcf520923d6474d98b96749e6805f7677e93aaaf62656005b8643f907ab", size = 220585, upload-time = "2025-05-19T14:15:49.546Z" }, + { url = "https://files.pythonhosted.org/packages/08/8f/beb3ae7406a619100d2b1fb0022c3bb55a8225ab53c5663648ba50dfcd56/multidict-6.4.4-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:058cc59b9e9b143cc56715e59e22941a5d868c322242278d28123a5d09cdf6b0", size = 212080, upload-time = "2025-05-19T14:15:51.151Z" }, + { url = "https://files.pythonhosted.org/packages/9c/ec/355124e9d3d01cf8edb072fd14947220f357e1c5bc79c88dff89297e9342/multidict-6.4.4-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:69133376bc9a03f8c47343d33f91f74a99c339e8b58cea90433d8e24bb298031", size = 226558, upload-time = "2025-05-19T14:15:52.665Z" }, + { url = "https://files.pythonhosted.org/packages/fd/22/d2b95cbebbc2ada3be3812ea9287dcc9712d7f1a012fad041770afddb2ad/multidict-6.4.4-cp313-cp313t-musllinux_1_2_armv7l.whl", hash = "sha256:d6b15c55721b1b115c5ba178c77104123745b1417527ad9641a4c5e2047450f0", size = 212168, upload-time = "2025-05-19T14:15:55.279Z" }, + { url = "https://files.pythonhosted.org/packages/4d/c5/62bfc0b2f9ce88326dbe7179f9824a939c6c7775b23b95de777267b9725c/multidict-6.4.4-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:a887b77f51d3d41e6e1a63cf3bc7ddf24de5939d9ff69441387dfefa58ac2e26", size = 217970, upload-time = "2025-05-19T14:15:56.806Z" }, + { url = "https://files.pythonhosted.org/packages/79/74/977cea1aadc43ff1c75d23bd5bc4768a8fac98c14e5878d6ee8d6bab743c/multidict-6.4.4-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:632a3bf8f1787f7ef7d3c2f68a7bde5be2f702906f8b5842ad6da9d974d0aab3", size = 226980, upload-time = "2025-05-19T14:15:58.313Z" }, + { url = "https://files.pythonhosted.org/packages/48/fc/cc4a1a2049df2eb84006607dc428ff237af38e0fcecfdb8a29ca47b1566c/multidict-6.4.4-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:a145c550900deb7540973c5cdb183b0d24bed6b80bf7bddf33ed8f569082535e", size = 220641, upload-time = "2025-05-19T14:15:59.866Z" }, + { url = "https://files.pythonhosted.org/packages/3b/6a/a7444d113ab918701988d4abdde373dbdfd2def7bd647207e2bf645c7eac/multidict-6.4.4-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:cc5d83c6619ca5c9672cb78b39ed8542f1975a803dee2cda114ff73cbb076edd", size = 221728, upload-time = "2025-05-19T14:16:01.535Z" }, + { url = "https://files.pythonhosted.org/packages/2b/b0/fdf4c73ad1c55e0f4dbbf2aa59dd37037334091f9a4961646d2b7ac91a86/multidict-6.4.4-cp313-cp313t-win32.whl", hash = "sha256:3312f63261b9df49be9d57aaa6abf53a6ad96d93b24f9cc16cf979956355ce6e", size = 41913, upload-time = "2025-05-19T14:16:03.199Z" }, + { url = "https://files.pythonhosted.org/packages/8e/92/27989ecca97e542c0d01d05a98a5ae12198a243a9ee12563a0313291511f/multidict-6.4.4-cp313-cp313t-win_amd64.whl", hash = "sha256:ba852168d814b2c73333073e1c7116d9395bea69575a01b0b3c89d2d5a87c8fb", size = 46112, upload-time = "2025-05-19T14:16:04.909Z" }, + { url = "https://files.pythonhosted.org/packages/84/5d/e17845bb0fa76334477d5de38654d27946d5b5d3695443987a094a71b440/multidict-6.4.4-py3-none-any.whl", hash = "sha256:bd4557071b561a8b3b6075c3ce93cf9bfb6182cb241805c3d66ced3b75eff4ac", size = 10481, upload-time = "2025-05-19T14:16:36.024Z" }, +] + +[[package]] +name = "multiprocess" +version = "0.70.16" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "dill" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b5/ae/04f39c5d0d0def03247c2893d6f2b83c136bf3320a2154d7b8858f2ba72d/multiprocess-0.70.16.tar.gz", hash = "sha256:161af703d4652a0e1410be6abccecde4a7ddffd19341be0a7011b94aeb171ac1", size = 1772603, upload-time = "2024-01-28T18:52:34.85Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ef/76/6e712a2623d146d314f17598df5de7224c85c0060ef63fd95cc15a25b3fa/multiprocess-0.70.16-pp310-pypy310_pp73-macosx_10_13_x86_64.whl", hash = "sha256:476887be10e2f59ff183c006af746cb6f1fd0eadcfd4ef49e605cbe2659920ee", size = 134980, upload-time = "2024-01-28T18:52:15.731Z" }, + { url = "https://files.pythonhosted.org/packages/0f/ab/1e6e8009e380e22254ff539ebe117861e5bdb3bff1fc977920972237c6c7/multiprocess-0.70.16-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d951bed82c8f73929ac82c61f01a7b5ce8f3e5ef40f5b52553b4f547ce2b08ec", size = 134982, upload-time = "2024-01-28T18:52:17.783Z" }, + { url = "https://files.pythonhosted.org/packages/bc/f7/7ec7fddc92e50714ea3745631f79bd9c96424cb2702632521028e57d3a36/multiprocess-0.70.16-py310-none-any.whl", hash = "sha256:c4a9944c67bd49f823687463660a2d6daae94c289adff97e0f9d696ba6371d02", size = 134824, upload-time = "2024-01-28T18:52:26.062Z" }, + { url = "https://files.pythonhosted.org/packages/50/15/b56e50e8debaf439f44befec5b2af11db85f6e0f344c3113ae0be0593a91/multiprocess-0.70.16-py311-none-any.whl", hash = "sha256:af4cabb0dac72abfb1e794fa7855c325fd2b55a10a44628a3c1ad3311c04127a", size = 143519, upload-time = "2024-01-28T18:52:28.115Z" }, + { url = "https://files.pythonhosted.org/packages/0a/7d/a988f258104dcd2ccf1ed40fdc97e26c4ac351eeaf81d76e266c52d84e2f/multiprocess-0.70.16-py312-none-any.whl", hash = "sha256:fc0544c531920dde3b00c29863377f87e1632601092ea2daca74e4beb40faa2e", size = 146741, upload-time = "2024-01-28T18:52:29.395Z" }, + { url = "https://files.pythonhosted.org/packages/ea/89/38df130f2c799090c978b366cfdf5b96d08de5b29a4a293df7f7429fa50b/multiprocess-0.70.16-py38-none-any.whl", hash = "sha256:a71d82033454891091a226dfc319d0cfa8019a4e888ef9ca910372a446de4435", size = 132628, upload-time = "2024-01-28T18:52:30.853Z" }, + { url = "https://files.pythonhosted.org/packages/da/d9/f7f9379981e39b8c2511c9e0326d212accacb82f12fbfdc1aa2ce2a7b2b6/multiprocess-0.70.16-py39-none-any.whl", hash = "sha256:a0bafd3ae1b732eac64be2e72038231c1ba97724b60b09400d68f229fcc2fbf3", size = 133351, upload-time = "2024-01-28T18:52:31.981Z" }, +] + +[[package]] +name = "narwhals" +version = "1.40.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f0/57/283881d06788c2fddd05eb7f0d6c82c5116d2827e83b845c796c74417c56/narwhals-1.40.0.tar.gz", hash = "sha256:17064abffd264ea1cfe6aefc8a0080f3a4ffb3659a98bcad5456ca80b88f2a0a", size = 487625, upload-time = "2025-05-19T07:44:12.103Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2c/e6/4d16dfa26f40230593c216bf695da01682fdbdf6af4e79abef572ab26bce/narwhals-1.40.0-py3-none-any.whl", hash = "sha256:1e6c731811d01c61147c52433b4d4edfb6511aaf2c859aa01c2e8ca6ff4d27e5", size = 357340, upload-time = "2025-05-19T07:44:10.11Z" }, +] + +[[package]] +name = "nbclient" +version = "0.10.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-client" }, + { name = "jupyter-core" }, + { name = "nbformat" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/87/66/7ffd18d58eae90d5721f9f39212327695b749e23ad44b3881744eaf4d9e8/nbclient-0.10.2.tar.gz", hash = "sha256:90b7fc6b810630db87a6d0c2250b1f0ab4cf4d3c27a299b0cde78a4ed3fd9193", size = 62424, upload-time = "2024-12-19T10:32:27.164Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/34/6d/e7fa07f03a4a7b221d94b4d586edb754a9b0dc3c9e2c93353e9fa4e0d117/nbclient-0.10.2-py3-none-any.whl", hash = "sha256:4ffee11e788b4a27fabeb7955547e4318a5298f34342a4bfd01f2e1faaeadc3d", size = 25434, upload-time = "2024-12-19T10:32:24.139Z" }, +] + +[[package]] +name = "nbconvert" +version = "7.16.6" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "beautifulsoup4" }, + { name = "bleach", extra = ["css"] }, + { name = "defusedxml" }, + { name = "jinja2" }, + { name = "jupyter-core" }, + { name = "jupyterlab-pygments" }, + { name = "markupsafe" }, + { name = "mistune" }, + { name = "nbclient" }, + { name = "nbformat" }, + { name = "packaging" }, + { name = "pandocfilters" }, + { name = "pygments" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/a3/59/f28e15fc47ffb73af68a8d9b47367a8630d76e97ae85ad18271b9db96fdf/nbconvert-7.16.6.tar.gz", hash = "sha256:576a7e37c6480da7b8465eefa66c17844243816ce1ccc372633c6b71c3c0f582", size = 857715, upload-time = "2025-01-28T09:29:14.724Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/cc/9a/cd673b2f773a12c992f41309ef81b99da1690426bd2f96957a7ade0d3ed7/nbconvert-7.16.6-py3-none-any.whl", hash = "sha256:1375a7b67e0c2883678c48e506dc320febb57685e5ee67faa51b18a90f3a712b", size = 258525, upload-time = "2025-01-28T09:29:12.551Z" }, +] + +[[package]] +name = "nbformat" +version = "5.10.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "fastjsonschema" }, + { name = "jsonschema" }, + { name = "jupyter-core" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/6d/fd/91545e604bc3dad7dca9ed03284086039b294c6b3d75c0d2fa45f9e9caf3/nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a", size = 142749, upload-time = "2024-04-04T11:20:37.371Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a9/82/0340caa499416c78e5d8f5f05947ae4bc3cba53c9f038ab6e9ed964e22f1/nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b", size = 78454, upload-time = "2024-04-04T11:20:34.895Z" }, +] + +[[package]] +name = "nest-asyncio" +version = "1.6.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/83/f8/51569ac65d696c8ecbee95938f89d4abf00f47d58d48f6fbabfe8f0baefe/nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe", size = 7418, upload-time = "2024-01-21T14:25:19.227Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a0/c4/c2971a3ba4c6103a3d10c4b0f24f461ddc027f0f09763220cf35ca1401b3/nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c", size = 5195, upload-time = "2024-01-21T14:25:17.223Z" }, +] + +[[package]] +name = "networkx" +version = "3.4.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/fd/1d/06475e1cd5264c0b870ea2cc6fdb3e37177c1e565c43f56ff17a10e3937f/networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1", size = 2151368, upload-time = "2024-10-21T12:39:38.695Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b9/54/dd730b32ea14ea797530a4479b2ed46a6fb250f682a9cfb997e968bf0261/networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f", size = 1723263, upload-time = "2024-10-21T12:39:36.247Z" }, +] + +[[package]] +name = "ninja" +version = "1.11.1.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/95/d4/6b0324541018561c5e73e617bd16f20a4fc17d1179bb3b3520b6ca8beb7b/ninja-1.11.1.4.tar.gz", hash = "sha256:6aa39f6e894e0452e5b297327db00019383ae55d5d9c57c73b04f13bf79d438a", size = 201256, upload-time = "2025-03-22T06:46:43.46Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/4f/b1/3a61b348936b62a386465b1937cd778fa3a5748582e26d832dbab844ff27/ninja-1.11.1.4-py3-none-macosx_10_9_universal2.whl", hash = "sha256:b33923c8da88e8da20b6053e38deb433f53656441614207e01d283ad02c5e8e7", size = 279071, upload-time = "2025-03-22T06:46:17.806Z" }, + { url = "https://files.pythonhosted.org/packages/12/42/4c94fdad51fcf1f039a156e97de9e4d564c2a8cc0303782d36f9bd893a4b/ninja-1.11.1.4-py3-none-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:cede0af00b58e27b31f2482ba83292a8e9171cdb9acc2c867a3b6e40b3353e43", size = 472026, upload-time = "2025-03-22T06:46:19.974Z" }, + { url = "https://files.pythonhosted.org/packages/eb/7a/455d2877fe6cf99886849c7f9755d897df32eaf3a0fba47b56e615f880f7/ninja-1.11.1.4-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:096487995473320de7f65d622c3f1d16c3ad174797602218ca8c967f51ec38a0", size = 422814, upload-time = "2025-03-22T06:46:21.235Z" }, + { url = "https://files.pythonhosted.org/packages/e3/ad/fb6cca942528e25e8e0ab0f0cf98fe007319bf05cf69d726c564b815c4af/ninja-1.11.1.4-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d3090d4488fadf6047d0d7a1db0c9643a8d391f0d94729554dbb89b5bdc769d7", size = 156965, upload-time = "2025-03-22T06:46:23.45Z" }, + { url = "https://files.pythonhosted.org/packages/a8/e7/d94a1b60031b115dd88526834b3da69eaacdc3c1a6769773ca8e2b1386b5/ninja-1.11.1.4-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ecce44a00325a93631792974659cf253a815cc6da4ec96f89742925dfc295a0d", size = 179937, upload-time = "2025-03-22T06:46:24.728Z" }, + { url = "https://files.pythonhosted.org/packages/08/cc/e9316a28235409e9363794fc3d0b3083e48dd80d441006de66421e55f364/ninja-1.11.1.4-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c29bb66d2aa46a2409ab369ea804c730faec7652e8c22c1e428cc09216543e5", size = 157020, upload-time = "2025-03-22T06:46:26.046Z" }, + { url = "https://files.pythonhosted.org/packages/e3/30/389b22300541aa5f2e9dad322c4de2f84be4e32aa4e8babd9160d620b5f1/ninja-1.11.1.4-py3-none-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:055f386fb550c2c9d6157e45e20a84d29c47968876b9c5794ae2aec46f952306", size = 130389, upload-time = "2025-03-22T06:46:27.174Z" }, + { url = "https://files.pythonhosted.org/packages/a9/10/e27f35cb92813aabbb7ae771b1685b45be1cc8a0798ce7d4bfd08d142b93/ninja-1.11.1.4-py3-none-musllinux_1_1_aarch64.whl", hash = "sha256:f6186d7607bb090c3be1e10c8a56b690be238f953616626f5032238c66e56867", size = 372435, upload-time = "2025-03-22T06:46:28.637Z" }, + { url = "https://files.pythonhosted.org/packages/c2/26/e3559619756739aae124c6abf7fe41f7e546ab1209cfbffb13137bff2d2e/ninja-1.11.1.4-py3-none-musllinux_1_1_i686.whl", hash = "sha256:cf4453679d15babc04ba023d68d091bb613091b67101c88f85d2171c6621c6eb", size = 419300, upload-time = "2025-03-22T06:46:30.392Z" }, + { url = "https://files.pythonhosted.org/packages/35/46/809e4e9572570991b8e6f88f3583807d017371ab4cb09171cbc72a7eb3e4/ninja-1.11.1.4-py3-none-musllinux_1_1_ppc64le.whl", hash = "sha256:d4a6f159b08b0ac4aca5ee1572e3e402f969139e71d85d37c0e2872129098749", size = 420239, upload-time = "2025-03-22T06:46:32.442Z" }, + { url = "https://files.pythonhosted.org/packages/e6/64/5cb5710d15f844edf02ada577f8eddfdcd116f47eec15850f3371a3a4b33/ninja-1.11.1.4-py3-none-musllinux_1_1_s390x.whl", hash = "sha256:c3b96bd875f3ef1db782470e9e41d7508905a0986571f219d20ffed238befa15", size = 415986, upload-time = "2025-03-22T06:46:33.821Z" }, + { url = "https://files.pythonhosted.org/packages/95/b2/0e9ab1d926f423b12b09925f78afcc5e48b3c22e7121be3ddf6c35bf06a3/ninja-1.11.1.4-py3-none-musllinux_1_1_x86_64.whl", hash = "sha256:cf554e73f72c04deb04d0cf51f5fdb1903d9c9ca3d2344249c8ce3bd616ebc02", size = 379657, upload-time = "2025-03-22T06:46:36.166Z" }, + { url = "https://files.pythonhosted.org/packages/c8/3e/fd6d330d0434168e7fe070d414b57dd99c4c133faa69c05b42a3cbdc6c13/ninja-1.11.1.4-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:cfdd09776436a1ff3c4a2558d3fc50a689fb9d7f1bdbc3e6f7b8c2991341ddb3", size = 454466, upload-time = "2025-03-22T06:46:37.413Z" }, + { url = "https://files.pythonhosted.org/packages/e6/df/a25f3ad0b1c59d1b90564096e4fd89a6ca30d562b1e942f23880c3000b89/ninja-1.11.1.4-py3-none-win32.whl", hash = "sha256:2ab67a41c90bea5ec4b795bab084bc0b3b3bb69d3cd21ca0294fc0fc15a111eb", size = 255931, upload-time = "2025-03-22T06:46:39.171Z" }, + { url = "https://files.pythonhosted.org/packages/5b/10/9b8fe9ac004847490cc7b54896124c01ce2d87d95dc60aabd0b8591addff/ninja-1.11.1.4-py3-none-win_amd64.whl", hash = "sha256:4617b3c12ff64b611a7d93fd9e378275512bb36eff8babff7c83f5116b4f8d66", size = 296461, upload-time = "2025-03-22T06:46:40.532Z" }, + { url = "https://files.pythonhosted.org/packages/b9/58/612a17593c2d117f96c7f6b7f1e6570246bddc4b1e808519403a1417f217/ninja-1.11.1.4-py3-none-win_arm64.whl", hash = "sha256:5713cf50c5be50084a8693308a63ecf9e55c3132a78a41ab1363a28b6caaaee1", size = 271441, upload-time = "2025-03-22T06:46:42.147Z" }, +] + +[[package]] +name = "nltk" +version = "3.9.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "click" }, + { name = "joblib" }, + { name = "regex" }, + { name = "tqdm" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/3c/87/db8be88ad32c2d042420b6fd9ffd4a149f9a0d7f0e86b3f543be2eeeedd2/nltk-3.9.1.tar.gz", hash = "sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868", size = 2904691, upload-time = "2024-08-18T19:48:37.769Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/4d/66/7d9e26593edda06e8cb531874633f7c2372279c3b0f46235539fe546df8b/nltk-3.9.1-py3-none-any.whl", hash = "sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1", size = 1505442, upload-time = "2024-08-18T19:48:21.909Z" }, +] + +[[package]] +name = "nodeenv" +version = "1.9.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/43/16/fc88b08840de0e0a72a2f9d8c6bae36be573e475a6326ae854bcc549fc45/nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f", size = 47437, upload-time = "2024-06-04T18:44:11.171Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d2/1d/1b658dbd2b9fa9c4c9f32accbfc0205d532c8c6194dc0f2a4c0428e7128a/nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9", size = 22314, upload-time = "2024-06-04T18:44:08.352Z" }, +] + +[[package]] +name = "notebook" +version = "7.4.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-server" }, + { name = "jupyterlab" }, + { name = "jupyterlab-server" }, + { name = "notebook-shim" }, + { name = "tornado" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ba/55/0a1b8fdf48b6de67b52b23b9670c20b81e649420d6b973c70be14cff99cd/notebook-7.4.2.tar.gz", hash = "sha256:e739defd28c3f615a6bfb0a2564bd75018a9cc6613aa00bbd9c15e68eed2de1b", size = 13881273, upload-time = "2025-05-06T15:08:06.335Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1e/16/d3c36a0b1f6dfcf218add8eaf803bf0473ff50681ac4d51acb7ba02bce34/notebook-7.4.2-py3-none-any.whl", hash = "sha256:9ccef602721aaa5530852e3064710b8ae5415c4e2ce26f8896d0433222755259", size = 14285747, upload-time = "2025-05-06T15:08:02.053Z" }, +] + +[[package]] +name = "notebook-shim" +version = "0.2.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-server" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/54/d2/92fa3243712b9a3e8bafaf60aac366da1cada3639ca767ff4b5b3654ec28/notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb", size = 13167, upload-time = "2024-02-14T23:35:18.353Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f9/33/bd5b9137445ea4b680023eb0469b2bb969d61303dedb2aac6560ff3d14a1/notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef", size = 13307, upload-time = "2024-02-14T23:35:16.286Z" }, +] + +[[package]] +name = "numpy" +version = "2.2.6" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/76/21/7d2a95e4bba9dc13d043ee156a356c0a8f0c6309dff6b21b4d71a073b8a8/numpy-2.2.6.tar.gz", hash = "sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd", size = 20276440, upload-time = "2025-05-17T22:38:04.611Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9a/3e/ed6db5be21ce87955c0cbd3009f2803f59fa08df21b5df06862e2d8e2bdd/numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb", size = 21165245, upload-time = "2025-05-17T21:27:58.555Z" }, + { url = "https://files.pythonhosted.org/packages/22/c2/4b9221495b2a132cc9d2eb862e21d42a009f5a60e45fc44b00118c174bff/numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90", size = 14360048, upload-time = "2025-05-17T21:28:21.406Z" }, + { url = "https://files.pythonhosted.org/packages/fd/77/dc2fcfc66943c6410e2bf598062f5959372735ffda175b39906d54f02349/numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:37e990a01ae6ec7fe7fa1c26c55ecb672dd98b19c3d0e1d1f326fa13cb38d163", size = 5340542, upload-time = "2025-05-17T21:28:30.931Z" }, + { url = "https://files.pythonhosted.org/packages/7a/4f/1cb5fdc353a5f5cc7feb692db9b8ec2c3d6405453f982435efc52561df58/numpy-2.2.6-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:5a6429d4be8ca66d889b7cf70f536a397dc45ba6faeb5f8c5427935d9592e9cf", size = 6878301, upload-time = "2025-05-17T21:28:41.613Z" }, + { url = "https://files.pythonhosted.org/packages/eb/17/96a3acd228cec142fcb8723bd3cc39c2a474f7dcf0a5d16731980bcafa95/numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efd28d4e9cd7d7a8d39074a4d44c63eda73401580c5c76acda2ce969e0a38e83", size = 14297320, upload-time = "2025-05-17T21:29:02.78Z" }, + { url = "https://files.pythonhosted.org/packages/b4/63/3de6a34ad7ad6646ac7d2f55ebc6ad439dbbf9c4370017c50cf403fb19b5/numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc7b73d02efb0e18c000e9ad8b83480dfcd5dfd11065997ed4c6747470ae8915", size = 16801050, upload-time = "2025-05-17T21:29:27.675Z" }, + { url = "https://files.pythonhosted.org/packages/07/b6/89d837eddef52b3d0cec5c6ba0456c1bf1b9ef6a6672fc2b7873c3ec4e2e/numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:74d4531beb257d2c3f4b261bfb0fc09e0f9ebb8842d82a7b4209415896adc680", size = 15807034, upload-time = "2025-05-17T21:29:51.102Z" }, + { url = "https://files.pythonhosted.org/packages/01/c8/dc6ae86e3c61cfec1f178e5c9f7858584049b6093f843bca541f94120920/numpy-2.2.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8fc377d995680230e83241d8a96def29f204b5782f371c532579b4f20607a289", size = 18614185, upload-time = "2025-05-17T21:30:18.703Z" }, + { url = "https://files.pythonhosted.org/packages/5b/c5/0064b1b7e7c89137b471ccec1fd2282fceaae0ab3a9550f2568782d80357/numpy-2.2.6-cp310-cp310-win32.whl", hash = "sha256:b093dd74e50a8cba3e873868d9e93a85b78e0daf2e98c6797566ad8044e8363d", size = 6527149, upload-time = "2025-05-17T21:30:29.788Z" }, + { url = "https://files.pythonhosted.org/packages/a3/dd/4b822569d6b96c39d1215dbae0582fd99954dcbcf0c1a13c61783feaca3f/numpy-2.2.6-cp310-cp310-win_amd64.whl", hash = "sha256:f0fd6321b839904e15c46e0d257fdd101dd7f530fe03fd6359c1ea63738703f3", size = 12904620, upload-time = "2025-05-17T21:30:48.994Z" }, + { url = "https://files.pythonhosted.org/packages/da/a8/4f83e2aa666a9fbf56d6118faaaf5f1974d456b1823fda0a176eff722839/numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae", size = 21176963, upload-time = "2025-05-17T21:31:19.36Z" }, + { url = "https://files.pythonhosted.org/packages/b3/2b/64e1affc7972decb74c9e29e5649fac940514910960ba25cd9af4488b66c/numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a", size = 14406743, upload-time = "2025-05-17T21:31:41.087Z" }, + { url = "https://files.pythonhosted.org/packages/4a/9f/0121e375000b5e50ffdd8b25bf78d8e1a5aa4cca3f185d41265198c7b834/numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42", size = 5352616, upload-time = "2025-05-17T21:31:50.072Z" }, + { url = "https://files.pythonhosted.org/packages/31/0d/b48c405c91693635fbe2dcd7bc84a33a602add5f63286e024d3b6741411c/numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491", size = 6889579, upload-time = "2025-05-17T21:32:01.712Z" }, + { url = "https://files.pythonhosted.org/packages/52/b8/7f0554d49b565d0171eab6e99001846882000883998e7b7d9f0d98b1f934/numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a", size = 14312005, upload-time = "2025-05-17T21:32:23.332Z" }, + { url = "https://files.pythonhosted.org/packages/b3/dd/2238b898e51bd6d389b7389ffb20d7f4c10066d80351187ec8e303a5a475/numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf", size = 16821570, upload-time = "2025-05-17T21:32:47.991Z" }, + { url = "https://files.pythonhosted.org/packages/83/6c/44d0325722cf644f191042bf47eedad61c1e6df2432ed65cbe28509d404e/numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bd48227a919f1bafbdda0583705e547892342c26fb127219d60a5c36882609d1", size = 15818548, upload-time = "2025-05-17T21:33:11.728Z" }, + { url = "https://files.pythonhosted.org/packages/ae/9d/81e8216030ce66be25279098789b665d49ff19eef08bfa8cb96d4957f422/numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9551a499bf125c1d4f9e250377c1ee2eddd02e01eac6644c080162c0c51778ab", size = 18620521, upload-time = "2025-05-17T21:33:39.139Z" }, + { url = "https://files.pythonhosted.org/packages/6a/fd/e19617b9530b031db51b0926eed5345ce8ddc669bb3bc0044b23e275ebe8/numpy-2.2.6-cp311-cp311-win32.whl", hash = "sha256:0678000bb9ac1475cd454c6b8c799206af8107e310843532b04d49649c717a47", size = 6525866, upload-time = "2025-05-17T21:33:50.273Z" }, + { url = "https://files.pythonhosted.org/packages/31/0a/f354fb7176b81747d870f7991dc763e157a934c717b67b58456bc63da3df/numpy-2.2.6-cp311-cp311-win_amd64.whl", hash = "sha256:e8213002e427c69c45a52bbd94163084025f533a55a59d6f9c5b820774ef3303", size = 12907455, upload-time = "2025-05-17T21:34:09.135Z" }, + { url = "https://files.pythonhosted.org/packages/82/5d/c00588b6cf18e1da539b45d3598d3557084990dcc4331960c15ee776ee41/numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff", size = 20875348, upload-time = "2025-05-17T21:34:39.648Z" }, + { url = "https://files.pythonhosted.org/packages/66/ee/560deadcdde6c2f90200450d5938f63a34b37e27ebff162810f716f6a230/numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c", size = 14119362, upload-time = "2025-05-17T21:35:01.241Z" }, + { url = "https://files.pythonhosted.org/packages/3c/65/4baa99f1c53b30adf0acd9a5519078871ddde8d2339dc5a7fde80d9d87da/numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3", size = 5084103, upload-time = "2025-05-17T21:35:10.622Z" }, + { url = "https://files.pythonhosted.org/packages/cc/89/e5a34c071a0570cc40c9a54eb472d113eea6d002e9ae12bb3a8407fb912e/numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282", size = 6625382, upload-time = "2025-05-17T21:35:21.414Z" }, + { url = "https://files.pythonhosted.org/packages/f8/35/8c80729f1ff76b3921d5c9487c7ac3de9b2a103b1cd05e905b3090513510/numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87", size = 14018462, upload-time = "2025-05-17T21:35:42.174Z" }, + { url = "https://files.pythonhosted.org/packages/8c/3d/1e1db36cfd41f895d266b103df00ca5b3cbe965184df824dec5c08c6b803/numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249", size = 16527618, upload-time = "2025-05-17T21:36:06.711Z" }, + { url = "https://files.pythonhosted.org/packages/61/c6/03ed30992602c85aa3cd95b9070a514f8b3c33e31124694438d88809ae36/numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49", size = 15505511, upload-time = "2025-05-17T21:36:29.965Z" }, + { url = "https://files.pythonhosted.org/packages/b7/25/5761d832a81df431e260719ec45de696414266613c9ee268394dd5ad8236/numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de", size = 18313783, upload-time = "2025-05-17T21:36:56.883Z" }, + { url = "https://files.pythonhosted.org/packages/57/0a/72d5a3527c5ebffcd47bde9162c39fae1f90138c961e5296491ce778e682/numpy-2.2.6-cp312-cp312-win32.whl", hash = "sha256:4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4", size = 6246506, upload-time = "2025-05-17T21:37:07.368Z" }, + { url = "https://files.pythonhosted.org/packages/36/fa/8c9210162ca1b88529ab76b41ba02d433fd54fecaf6feb70ef9f124683f1/numpy-2.2.6-cp312-cp312-win_amd64.whl", hash = "sha256:c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2", size = 12614190, upload-time = "2025-05-17T21:37:26.213Z" }, + { url = "https://files.pythonhosted.org/packages/f9/5c/6657823f4f594f72b5471f1db1ab12e26e890bb2e41897522d134d2a3e81/numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0811bb762109d9708cca4d0b13c4f67146e3c3b7cf8d34018c722adb2d957c84", size = 20867828, upload-time = "2025-05-17T21:37:56.699Z" }, + { url = "https://files.pythonhosted.org/packages/dc/9e/14520dc3dadf3c803473bd07e9b2bd1b69bc583cb2497b47000fed2fa92f/numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:287cc3162b6f01463ccd86be154f284d0893d2b3ed7292439ea97eafa8170e0b", size = 14143006, upload-time = "2025-05-17T21:38:18.291Z" }, + { url = "https://files.pythonhosted.org/packages/4f/06/7e96c57d90bebdce9918412087fc22ca9851cceaf5567a45c1f404480e9e/numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:f1372f041402e37e5e633e586f62aa53de2eac8d98cbfb822806ce4bbefcb74d", size = 5076765, upload-time = "2025-05-17T21:38:27.319Z" }, + { url = "https://files.pythonhosted.org/packages/73/ed/63d920c23b4289fdac96ddbdd6132e9427790977d5457cd132f18e76eae0/numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:55a4d33fa519660d69614a9fad433be87e5252f4b03850642f88993f7b2ca566", size = 6617736, upload-time = "2025-05-17T21:38:38.141Z" }, + { url = "https://files.pythonhosted.org/packages/85/c5/e19c8f99d83fd377ec8c7e0cf627a8049746da54afc24ef0a0cb73d5dfb5/numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92729c95468a2f4f15e9bb94c432a9229d0d50de67304399627a943201baa2f", size = 14010719, upload-time = "2025-05-17T21:38:58.433Z" }, + { url = "https://files.pythonhosted.org/packages/19/49/4df9123aafa7b539317bf6d342cb6d227e49f7a35b99c287a6109b13dd93/numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bc23a79bfabc5d056d106f9befb8d50c31ced2fbc70eedb8155aec74a45798f", size = 16526072, upload-time = "2025-05-17T21:39:22.638Z" }, + { url = "https://files.pythonhosted.org/packages/b2/6c/04b5f47f4f32f7c2b0e7260442a8cbcf8168b0e1a41ff1495da42f42a14f/numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e3143e4451880bed956e706a3220b4e5cf6172ef05fcc397f6f36a550b1dd868", size = 15503213, upload-time = "2025-05-17T21:39:45.865Z" }, + { url = "https://files.pythonhosted.org/packages/17/0a/5cd92e352c1307640d5b6fec1b2ffb06cd0dabe7d7b8227f97933d378422/numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4f13750ce79751586ae2eb824ba7e1e8dba64784086c98cdbbcc6a42112ce0d", size = 18316632, upload-time = "2025-05-17T21:40:13.331Z" }, + { url = "https://files.pythonhosted.org/packages/f0/3b/5cba2b1d88760ef86596ad0f3d484b1cbff7c115ae2429678465057c5155/numpy-2.2.6-cp313-cp313-win32.whl", hash = "sha256:5beb72339d9d4fa36522fc63802f469b13cdbe4fdab4a288f0c441b74272ebfd", size = 6244532, upload-time = "2025-05-17T21:43:46.099Z" }, + { url = "https://files.pythonhosted.org/packages/cb/3b/d58c12eafcb298d4e6d0d40216866ab15f59e55d148a5658bb3132311fcf/numpy-2.2.6-cp313-cp313-win_amd64.whl", hash = "sha256:b0544343a702fa80c95ad5d3d608ea3599dd54d4632df855e4c8d24eb6ecfa1c", size = 12610885, upload-time = "2025-05-17T21:44:05.145Z" }, + { url = "https://files.pythonhosted.org/packages/6b/9e/4bf918b818e516322db999ac25d00c75788ddfd2d2ade4fa66f1f38097e1/numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0bca768cd85ae743b2affdc762d617eddf3bcf8724435498a1e80132d04879e6", size = 20963467, upload-time = "2025-05-17T21:40:44Z" }, + { url = "https://files.pythonhosted.org/packages/61/66/d2de6b291507517ff2e438e13ff7b1e2cdbdb7cb40b3ed475377aece69f9/numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:fc0c5673685c508a142ca65209b4e79ed6740a4ed6b2267dbba90f34b0b3cfda", size = 14225144, upload-time = "2025-05-17T21:41:05.695Z" }, + { url = "https://files.pythonhosted.org/packages/e4/25/480387655407ead912e28ba3a820bc69af9adf13bcbe40b299d454ec011f/numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5bd4fc3ac8926b3819797a7c0e2631eb889b4118a9898c84f585a54d475b7e40", size = 5200217, upload-time = "2025-05-17T21:41:15.903Z" }, + { url = "https://files.pythonhosted.org/packages/aa/4a/6e313b5108f53dcbf3aca0c0f3e9c92f4c10ce57a0a721851f9785872895/numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:fee4236c876c4e8369388054d02d0e9bb84821feb1a64dd59e137e6511a551f8", size = 6712014, upload-time = "2025-05-17T21:41:27.321Z" }, + { url = "https://files.pythonhosted.org/packages/b7/30/172c2d5c4be71fdf476e9de553443cf8e25feddbe185e0bd88b096915bcc/numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e1dda9c7e08dc141e0247a5b8f49cf05984955246a327d4c48bda16821947b2f", size = 14077935, upload-time = "2025-05-17T21:41:49.738Z" }, + { url = "https://files.pythonhosted.org/packages/12/fb/9e743f8d4e4d3c710902cf87af3512082ae3d43b945d5d16563f26ec251d/numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f447e6acb680fd307f40d3da4852208af94afdfab89cf850986c3ca00562f4fa", size = 16600122, upload-time = "2025-05-17T21:42:14.046Z" }, + { url = "https://files.pythonhosted.org/packages/12/75/ee20da0e58d3a66f204f38916757e01e33a9737d0b22373b3eb5a27358f9/numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:389d771b1623ec92636b0786bc4ae56abafad4a4c513d36a55dce14bd9ce8571", size = 15586143, upload-time = "2025-05-17T21:42:37.464Z" }, + { url = "https://files.pythonhosted.org/packages/76/95/bef5b37f29fc5e739947e9ce5179ad402875633308504a52d188302319c8/numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8e9ace4a37db23421249ed236fdcdd457d671e25146786dfc96835cd951aa7c1", size = 18385260, upload-time = "2025-05-17T21:43:05.189Z" }, + { url = "https://files.pythonhosted.org/packages/09/04/f2f83279d287407cf36a7a8053a5abe7be3622a4363337338f2585e4afda/numpy-2.2.6-cp313-cp313t-win32.whl", hash = "sha256:038613e9fb8c72b0a41f025a7e4c3f0b7a1b5d768ece4796b674c8f3fe13efff", size = 6377225, upload-time = "2025-05-17T21:43:16.254Z" }, + { url = "https://files.pythonhosted.org/packages/67/0e/35082d13c09c02c011cf21570543d202ad929d961c02a147493cb0c2bdf5/numpy-2.2.6-cp313-cp313t-win_amd64.whl", hash = "sha256:6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06", size = 12771374, upload-time = "2025-05-17T21:43:35.479Z" }, + { url = "https://files.pythonhosted.org/packages/9e/3b/d94a75f4dbf1ef5d321523ecac21ef23a3cd2ac8b78ae2aac40873590229/numpy-2.2.6-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0b605b275d7bd0c640cad4e5d30fa701a8d59302e127e5f79138ad62762c3e3d", size = 21040391, upload-time = "2025-05-17T21:44:35.948Z" }, + { url = "https://files.pythonhosted.org/packages/17/f4/09b2fa1b58f0fb4f7c7963a1649c64c4d315752240377ed74d9cd878f7b5/numpy-2.2.6-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:7befc596a7dc9da8a337f79802ee8adb30a552a94f792b9c9d18c840055907db", size = 6786754, upload-time = "2025-05-17T21:44:47.446Z" }, + { url = "https://files.pythonhosted.org/packages/af/30/feba75f143bdc868a1cc3f44ccfa6c4b9ec522b36458e738cd00f67b573f/numpy-2.2.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce47521a4754c8f4593837384bd3424880629f718d87c5d44f8ed763edd63543", size = 16643476, upload-time = "2025-05-17T21:45:11.871Z" }, + { url = "https://files.pythonhosted.org/packages/37/48/ac2a9584402fb6c0cd5b5d1a91dcf176b15760130dd386bbafdbfe3640bf/numpy-2.2.6-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d042d24c90c41b54fd506da306759e06e568864df8ec17ccc17e9e884634fd00", size = 12812666, upload-time = "2025-05-17T21:45:31.426Z" }, +] + +[[package]] +name = "nvidia-cublas-cu12" +version = "12.6.4.1" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/af/eb/ff4b8c503fa1f1796679dce648854d58751982426e4e4b37d6fce49d259c/nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:08ed2686e9875d01b58e3cb379c6896df8e76c75e0d4a7f7dace3d7b6d9ef8eb", size = 393138322, upload-time = "2024-11-20T17:40:25.65Z" }, +] + +[[package]] +name = "nvidia-cuda-cupti-cu12" +version = "12.6.80" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/49/60/7b6497946d74bcf1de852a21824d63baad12cd417db4195fc1bfe59db953/nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6768bad6cab4f19e8292125e5f1ac8aa7d1718704012a0e3272a6f61c4bce132", size = 8917980, upload-time = "2024-11-20T17:36:04.019Z" }, + { url = "https://files.pythonhosted.org/packages/a5/24/120ee57b218d9952c379d1e026c4479c9ece9997a4fb46303611ee48f038/nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a3eff6cdfcc6a4c35db968a06fcadb061cbc7d6dde548609a941ff8701b98b73", size = 8917972, upload-time = "2024-10-01T16:58:06.036Z" }, +] + +[[package]] +name = "nvidia-cuda-nvrtc-cu12" +version = "12.6.77" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/75/2e/46030320b5a80661e88039f59060d1790298b4718944a65a7f2aeda3d9e9/nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:35b0cc6ee3a9636d5409133e79273ce1f3fd087abb0532d2d2e8fff1fe9efc53", size = 23650380, upload-time = "2024-10-01T17:00:14.643Z" }, +] + +[[package]] +name = "nvidia-cuda-runtime-cu12" +version = "12.6.77" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e1/23/e717c5ac26d26cf39a27fbc076240fad2e3b817e5889d671b67f4f9f49c5/nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ba3b56a4f896141e25e19ab287cd71e52a6a0f4b29d0d31609f60e3b4d5219b7", size = 897690, upload-time = "2024-11-20T17:35:30.697Z" }, + { url = "https://files.pythonhosted.org/packages/f0/62/65c05e161eeddbafeca24dc461f47de550d9fa8a7e04eb213e32b55cfd99/nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a84d15d5e1da416dd4774cb42edf5e954a3e60cc945698dc1d5be02321c44dc8", size = 897678, upload-time = "2024-10-01T16:57:33.821Z" }, +] + +[[package]] +name = "nvidia-cudnn-cu12" +version = "9.5.1.17" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "nvidia-cublas-cu12", marker = "sys_platform == 'linux'" }, +] +wheels = [ + { url = "https://files.pythonhosted.org/packages/2a/78/4535c9c7f859a64781e43c969a3a7e84c54634e319a996d43ef32ce46f83/nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:30ac3869f6db17d170e0e556dd6cc5eee02647abc31ca856634d5a40f82c15b2", size = 570988386, upload-time = "2024-10-25T19:54:26.39Z" }, +] + +[[package]] +name = "nvidia-cufft-cu12" +version = "11.3.0.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" }, +] +wheels = [ + { url = "https://files.pythonhosted.org/packages/8f/16/73727675941ab8e6ffd86ca3a4b7b47065edcca7a997920b831f8147c99d/nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ccba62eb9cef5559abd5e0d54ceed2d9934030f51163df018532142a8ec533e5", size = 200221632, upload-time = "2024-11-20T17:41:32.357Z" }, + { url = "https://files.pythonhosted.org/packages/60/de/99ec247a07ea40c969d904fc14f3a356b3e2a704121675b75c366b694ee1/nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.whl", hash = "sha256:768160ac89f6f7b459bee747e8d175dbf53619cfe74b2a5636264163138013ca", size = 200221622, upload-time = "2024-10-01T17:03:58.79Z" }, +] + +[[package]] +name = "nvidia-cufile-cu12" +version = "1.11.1.6" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b2/66/cc9876340ac68ae71b15c743ddb13f8b30d5244af344ec8322b449e35426/nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cc23469d1c7e52ce6c1d55253273d32c565dd22068647f3aa59b3c6b005bf159", size = 1142103, upload-time = "2024-11-20T17:42:11.83Z" }, +] + +[[package]] +name = "nvidia-curand-cu12" +version = "10.3.7.77" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/73/1b/44a01c4e70933637c93e6e1a8063d1e998b50213a6b65ac5a9169c47e98e/nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a42cd1344297f70b9e39a1e4f467a4e1c10f1da54ff7a85c12197f6c652c8bdf", size = 56279010, upload-time = "2024-11-20T17:42:50.958Z" }, + { url = "https://files.pythonhosted.org/packages/4a/aa/2c7ff0b5ee02eaef890c0ce7d4f74bc30901871c5e45dee1ae6d0083cd80/nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:99f1a32f1ac2bd134897fc7a203f779303261268a65762a623bf30cc9fe79117", size = 56279000, upload-time = "2024-10-01T17:04:45.274Z" }, +] + +[[package]] +name = "nvidia-cusolver-cu12" +version = "11.7.1.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "nvidia-cublas-cu12", marker = "sys_platform == 'linux'" }, + { name = "nvidia-cusparse-cu12", marker = "sys_platform == 'linux'" }, + { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" }, +] +wheels = [ + { url = "https://files.pythonhosted.org/packages/f0/6e/c2cf12c9ff8b872e92b4a5740701e51ff17689c4d726fca91875b07f655d/nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e9e49843a7707e42022babb9bcfa33c29857a93b88020c4e4434656a655b698c", size = 158229790, upload-time = "2024-11-20T17:43:43.211Z" }, + { url = "https://files.pythonhosted.org/packages/9f/81/baba53585da791d043c10084cf9553e074548408e04ae884cfe9193bd484/nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:6cf28f17f64107a0c4d7802be5ff5537b2130bfc112f25d5a30df227058ca0e6", size = 158229780, upload-time = "2024-10-01T17:05:39.875Z" }, +] + +[[package]] +name = "nvidia-cusparse-cu12" +version = "12.5.4.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" }, +] +wheels = [ + { url = "https://files.pythonhosted.org/packages/06/1e/b8b7c2f4099a37b96af5c9bb158632ea9e5d9d27d7391d7eb8fc45236674/nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7556d9eca156e18184b94947ade0fba5bb47d69cec46bf8660fd2c71a4b48b73", size = 216561367, upload-time = "2024-11-20T17:44:54.824Z" }, + { url = "https://files.pythonhosted.org/packages/43/ac/64c4316ba163e8217a99680c7605f779accffc6a4bcd0c778c12948d3707/nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:23749a6571191a215cb74d1cdbff4a86e7b19f1200c071b3fcf844a5bea23a2f", size = 216561357, upload-time = "2024-10-01T17:06:29.861Z" }, +] + +[[package]] +name = "nvidia-cusparselt-cu12" +version = "0.6.3" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3b/9a/72ef35b399b0e183bc2e8f6f558036922d453c4d8237dab26c666a04244b/nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:e5c8a26c36445dd2e6812f1177978a24e2d37cacce7e090f297a688d1ec44f46", size = 156785796, upload-time = "2024-10-15T21:29:17.709Z" }, +] + +[[package]] +name = "nvidia-nccl-cu12" +version = "2.26.2" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/67/ca/f42388aed0fddd64ade7493dbba36e1f534d4e6fdbdd355c6a90030ae028/nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:694cf3879a206553cc9d7dbda76b13efaf610fdb70a50cba303de1b0d1530ac6", size = 201319755, upload-time = "2025-03-13T00:29:55.296Z" }, +] + +[[package]] +name = "nvidia-nvjitlink-cu12" +version = "12.6.85" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9d/d7/c5383e47c7e9bf1c99d5bd2a8c935af2b6d705ad831a7ec5c97db4d82f4f/nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a", size = 19744971, upload-time = "2024-11-20T17:46:53.366Z" }, +] + +[[package]] +name = "nvidia-nvtx-cu12" +version = "12.6.77" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/56/9a/fff8376f8e3d084cd1530e1ef7b879bb7d6d265620c95c1b322725c694f4/nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b90bed3df379fa79afbd21be8e04a0314336b8ae16768b58f2d34cb1d04cd7d2", size = 89276, upload-time = "2024-11-20T17:38:27.621Z" }, + { url = "https://files.pythonhosted.org/packages/9e/4e/0d0c945463719429b7bd21dece907ad0bde437a2ff12b9b12fee94722ab0/nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:6574241a3ec5fdc9334353ab8c479fe75841dbe8f4532a8fc97ce63503330ba1", size = 89265, upload-time = "2024-10-01T17:00:38.172Z" }, +] + +[[package]] +name = "overrides" +version = "7.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/36/86/b585f53236dec60aba864e050778b25045f857e17f6e5ea0ae95fe80edd2/overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a", size = 22812, upload-time = "2024-01-27T21:01:33.423Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2c/ab/fc8290c6a4c722e5514d80f62b2dc4c4df1a68a41d1364e625c35990fcf3/overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49", size = 17832, upload-time = "2024-01-27T21:01:31.393Z" }, +] + +[[package]] +name = "packaging" +version = "25.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/a1/d4/1fc4078c65507b51b96ca8f8c3ba19e6a61c8253c72794544580a7b6c24d/packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f", size = 165727, upload-time = "2025-04-19T11:48:59.673Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/20/12/38679034af332785aac8774540895e234f4d07f7545804097de4b666afd8/packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484", size = 66469, upload-time = "2025-04-19T11:48:57.875Z" }, +] + +[[package]] +name = "pandas" +version = "2.2.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy" }, + { name = "python-dateutil" }, + { name = "pytz" }, + { name = "tzdata" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/9c/d6/9f8431bacc2e19dca897724cd097b1bb224a6ad5433784a44b587c7c13af/pandas-2.2.3.tar.gz", hash = "sha256:4f18ba62b61d7e192368b84517265a99b4d7ee8912f8708660fb4a366cc82667", size = 4399213, upload-time = "2024-09-20T13:10:04.827Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/aa/70/c853aec59839bceed032d52010ff5f1b8d87dc3114b762e4ba2727661a3b/pandas-2.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1948ddde24197a0f7add2bdc4ca83bf2b1ef84a1bc8ccffd95eda17fd836ecb5", size = 12580827, upload-time = "2024-09-20T13:08:42.347Z" }, + { url = "https://files.pythonhosted.org/packages/99/f2/c4527768739ffa4469b2b4fff05aa3768a478aed89a2f271a79a40eee984/pandas-2.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:381175499d3802cde0eabbaf6324cce0c4f5d52ca6f8c377c29ad442f50f6348", size = 11303897, upload-time = "2024-09-20T13:08:45.807Z" }, + { url = "https://files.pythonhosted.org/packages/ed/12/86c1747ea27989d7a4064f806ce2bae2c6d575b950be087837bdfcabacc9/pandas-2.2.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d9c45366def9a3dd85a6454c0e7908f2b3b8e9c138f5dc38fed7ce720d8453ed", size = 66480908, upload-time = "2024-09-20T18:37:13.513Z" }, + { url = "https://files.pythonhosted.org/packages/44/50/7db2cd5e6373ae796f0ddad3675268c8d59fb6076e66f0c339d61cea886b/pandas-2.2.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:86976a1c5b25ae3f8ccae3a5306e443569ee3c3faf444dfd0f41cda24667ad57", size = 13064210, upload-time = "2024-09-20T13:08:48.325Z" }, + { url = "https://files.pythonhosted.org/packages/61/61/a89015a6d5536cb0d6c3ba02cebed51a95538cf83472975275e28ebf7d0c/pandas-2.2.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:b8661b0238a69d7aafe156b7fa86c44b881387509653fdf857bebc5e4008ad42", size = 16754292, upload-time = "2024-09-20T19:01:54.443Z" }, + { url = "https://files.pythonhosted.org/packages/ce/0d/4cc7b69ce37fac07645a94e1d4b0880b15999494372c1523508511b09e40/pandas-2.2.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:37e0aced3e8f539eccf2e099f65cdb9c8aa85109b0be6e93e2baff94264bdc6f", size = 14416379, upload-time = "2024-09-20T13:08:50.882Z" }, + { url = "https://files.pythonhosted.org/packages/31/9e/6ebb433de864a6cd45716af52a4d7a8c3c9aaf3a98368e61db9e69e69a9c/pandas-2.2.3-cp310-cp310-win_amd64.whl", hash = "sha256:56534ce0746a58afaf7942ba4863e0ef81c9c50d3f0ae93e9497d6a41a057645", size = 11598471, upload-time = "2024-09-20T13:08:53.332Z" }, + { url = "https://files.pythonhosted.org/packages/a8/44/d9502bf0ed197ba9bf1103c9867d5904ddcaf869e52329787fc54ed70cc8/pandas-2.2.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:66108071e1b935240e74525006034333f98bcdb87ea116de573a6a0dccb6c039", size = 12602222, upload-time = "2024-09-20T13:08:56.254Z" }, + { url = "https://files.pythonhosted.org/packages/52/11/9eac327a38834f162b8250aab32a6781339c69afe7574368fffe46387edf/pandas-2.2.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7c2875855b0ff77b2a64a0365e24455d9990730d6431b9e0ee18ad8acee13dbd", size = 11321274, upload-time = "2024-09-20T13:08:58.645Z" }, + { url = "https://files.pythonhosted.org/packages/45/fb/c4beeb084718598ba19aa9f5abbc8aed8b42f90930da861fcb1acdb54c3a/pandas-2.2.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cd8d0c3be0515c12fed0bdbae072551c8b54b7192c7b1fda0ba56059a0179698", size = 15579836, upload-time = "2024-09-20T19:01:57.571Z" }, + { url = "https://files.pythonhosted.org/packages/cd/5f/4dba1d39bb9c38d574a9a22548c540177f78ea47b32f99c0ff2ec499fac5/pandas-2.2.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c124333816c3a9b03fbeef3a9f230ba9a737e9e5bb4060aa2107a86cc0a497fc", size = 13058505, upload-time = "2024-09-20T13:09:01.501Z" }, + { url = "https://files.pythonhosted.org/packages/b9/57/708135b90391995361636634df1f1130d03ba456e95bcf576fada459115a/pandas-2.2.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:63cc132e40a2e084cf01adf0775b15ac515ba905d7dcca47e9a251819c575ef3", size = 16744420, upload-time = "2024-09-20T19:02:00.678Z" }, + { url = "https://files.pythonhosted.org/packages/86/4a/03ed6b7ee323cf30404265c284cee9c65c56a212e0a08d9ee06984ba2240/pandas-2.2.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:29401dbfa9ad77319367d36940cd8a0b3a11aba16063e39632d98b0e931ddf32", size = 14440457, upload-time = "2024-09-20T13:09:04.105Z" }, + { url = "https://files.pythonhosted.org/packages/ed/8c/87ddf1fcb55d11f9f847e3c69bb1c6f8e46e2f40ab1a2d2abadb2401b007/pandas-2.2.3-cp311-cp311-win_amd64.whl", hash = "sha256:3fc6873a41186404dad67245896a6e440baacc92f5b716ccd1bc9ed2995ab2c5", size = 11617166, upload-time = "2024-09-20T13:09:06.917Z" }, + { url = "https://files.pythonhosted.org/packages/17/a3/fb2734118db0af37ea7433f57f722c0a56687e14b14690edff0cdb4b7e58/pandas-2.2.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b1d432e8d08679a40e2a6d8b2f9770a5c21793a6f9f47fdd52c5ce1948a5a8a9", size = 12529893, upload-time = "2024-09-20T13:09:09.655Z" }, + { url = "https://files.pythonhosted.org/packages/e1/0c/ad295fd74bfac85358fd579e271cded3ac969de81f62dd0142c426b9da91/pandas-2.2.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a5a1595fe639f5988ba6a8e5bc9649af3baf26df3998a0abe56c02609392e0a4", size = 11363475, upload-time = "2024-09-20T13:09:14.718Z" }, + { url = "https://files.pythonhosted.org/packages/c6/2a/4bba3f03f7d07207481fed47f5b35f556c7441acddc368ec43d6643c5777/pandas-2.2.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5de54125a92bb4d1c051c0659e6fcb75256bf799a732a87184e5ea503965bce3", size = 15188645, upload-time = "2024-09-20T19:02:03.88Z" }, + { url = "https://files.pythonhosted.org/packages/38/f8/d8fddee9ed0d0c0f4a2132c1dfcf0e3e53265055da8df952a53e7eaf178c/pandas-2.2.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fffb8ae78d8af97f849404f21411c95062db1496aeb3e56f146f0355c9989319", size = 12739445, upload-time = "2024-09-20T13:09:17.621Z" }, + { url = "https://files.pythonhosted.org/packages/20/e8/45a05d9c39d2cea61ab175dbe6a2de1d05b679e8de2011da4ee190d7e748/pandas-2.2.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6dfcb5ee8d4d50c06a51c2fffa6cff6272098ad6540aed1a76d15fb9318194d8", size = 16359235, upload-time = "2024-09-20T19:02:07.094Z" }, + { url = "https://files.pythonhosted.org/packages/1d/99/617d07a6a5e429ff90c90da64d428516605a1ec7d7bea494235e1c3882de/pandas-2.2.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:062309c1b9ea12a50e8ce661145c6aab431b1e99530d3cd60640e255778bd43a", size = 14056756, upload-time = "2024-09-20T13:09:20.474Z" }, + { url = "https://files.pythonhosted.org/packages/29/d4/1244ab8edf173a10fd601f7e13b9566c1b525c4f365d6bee918e68381889/pandas-2.2.3-cp312-cp312-win_amd64.whl", hash = "sha256:59ef3764d0fe818125a5097d2ae867ca3fa64df032331b7e0917cf5d7bf66b13", size = 11504248, upload-time = "2024-09-20T13:09:23.137Z" }, + { url = "https://files.pythonhosted.org/packages/64/22/3b8f4e0ed70644e85cfdcd57454686b9057c6c38d2f74fe4b8bc2527214a/pandas-2.2.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f00d1345d84d8c86a63e476bb4955e46458b304b9575dcf71102b5c705320015", size = 12477643, upload-time = "2024-09-20T13:09:25.522Z" }, + { url = "https://files.pythonhosted.org/packages/e4/93/b3f5d1838500e22c8d793625da672f3eec046b1a99257666c94446969282/pandas-2.2.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3508d914817e153ad359d7e069d752cdd736a247c322d932eb89e6bc84217f28", size = 11281573, upload-time = "2024-09-20T13:09:28.012Z" }, + { url = "https://files.pythonhosted.org/packages/f5/94/6c79b07f0e5aab1dcfa35a75f4817f5c4f677931d4234afcd75f0e6a66ca/pandas-2.2.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:22a9d949bfc9a502d320aa04e5d02feab689d61da4e7764b62c30b991c42c5f0", size = 15196085, upload-time = "2024-09-20T19:02:10.451Z" }, + { url = "https://files.pythonhosted.org/packages/e8/31/aa8da88ca0eadbabd0a639788a6da13bb2ff6edbbb9f29aa786450a30a91/pandas-2.2.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3a255b2c19987fbbe62a9dfd6cff7ff2aa9ccab3fc75218fd4b7530f01efa24", size = 12711809, upload-time = "2024-09-20T13:09:30.814Z" }, + { url = "https://files.pythonhosted.org/packages/ee/7c/c6dbdb0cb2a4344cacfb8de1c5808ca885b2e4dcfde8008266608f9372af/pandas-2.2.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:800250ecdadb6d9c78eae4990da62743b857b470883fa27f652db8bdde7f6659", size = 16356316, upload-time = "2024-09-20T19:02:13.825Z" }, + { url = "https://files.pythonhosted.org/packages/57/b7/8b757e7d92023b832869fa8881a992696a0bfe2e26f72c9ae9f255988d42/pandas-2.2.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6374c452ff3ec675a8f46fd9ab25c4ad0ba590b71cf0656f8b6daa5202bca3fb", size = 14022055, upload-time = "2024-09-20T13:09:33.462Z" }, + { url = "https://files.pythonhosted.org/packages/3b/bc/4b18e2b8c002572c5a441a64826252ce5da2aa738855747247a971988043/pandas-2.2.3-cp313-cp313-win_amd64.whl", hash = "sha256:61c5ad4043f791b61dd4752191d9f07f0ae412515d59ba8f005832a532f8736d", size = 11481175, upload-time = "2024-09-20T13:09:35.871Z" }, + { url = "https://files.pythonhosted.org/packages/76/a3/a5d88146815e972d40d19247b2c162e88213ef51c7c25993942c39dbf41d/pandas-2.2.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:3b71f27954685ee685317063bf13c7709a7ba74fc996b84fc6821c59b0f06468", size = 12615650, upload-time = "2024-09-20T13:09:38.685Z" }, + { url = "https://files.pythonhosted.org/packages/9c/8c/f0fd18f6140ddafc0c24122c8a964e48294acc579d47def376fef12bcb4a/pandas-2.2.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:38cf8125c40dae9d5acc10fa66af8ea6fdf760b2714ee482ca691fc66e6fcb18", size = 11290177, upload-time = "2024-09-20T13:09:41.141Z" }, + { url = "https://files.pythonhosted.org/packages/ed/f9/e995754eab9c0f14c6777401f7eece0943840b7a9fc932221c19d1abee9f/pandas-2.2.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ba96630bc17c875161df3818780af30e43be9b166ce51c9a18c1feae342906c2", size = 14651526, upload-time = "2024-09-20T19:02:16.905Z" }, + { url = "https://files.pythonhosted.org/packages/25/b0/98d6ae2e1abac4f35230aa756005e8654649d305df9a28b16b9ae4353bff/pandas-2.2.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1db71525a1538b30142094edb9adc10be3f3e176748cd7acc2240c2f2e5aa3a4", size = 11871013, upload-time = "2024-09-20T13:09:44.39Z" }, + { url = "https://files.pythonhosted.org/packages/cc/57/0f72a10f9db6a4628744c8e8f0df4e6e21de01212c7c981d31e50ffc8328/pandas-2.2.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:15c0e1e02e93116177d29ff83e8b1619c93ddc9c49083f237d4312337a61165d", size = 15711620, upload-time = "2024-09-20T19:02:20.639Z" }, + { url = "https://files.pythonhosted.org/packages/ab/5f/b38085618b950b79d2d9164a711c52b10aefc0ae6833b96f626b7021b2ed/pandas-2.2.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:ad5b65698ab28ed8d7f18790a0dc58005c7629f227be9ecc1072aa74c0c1d43a", size = 13098436, upload-time = "2024-09-20T13:09:48.112Z" }, +] + +[[package]] +name = "pandocfilters" +version = "1.5.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/70/6f/3dd4940bbe001c06a65f88e36bad298bc7a0de5036115639926b0c5c0458/pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e", size = 8454, upload-time = "2024-01-18T20:08:13.726Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ef/af/4fbc8cab944db5d21b7e2a5b8e9211a03a79852b1157e2c102fcc61ac440/pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc", size = 8663, upload-time = "2024-01-18T20:08:11.28Z" }, +] + +[[package]] +name = "parso" +version = "0.8.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/66/94/68e2e17afaa9169cf6412ab0f28623903be73d1b32e208d9e8e541bb086d/parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d", size = 400609, upload-time = "2024-04-05T09:43:55.897Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c6/ac/dac4a63f978e4dcb3c6d3a78c4d8e0192a113d288502a1216950c41b1027/parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18", size = 103650, upload-time = "2024-04-05T09:43:53.299Z" }, +] + +[[package]] +name = "peft" +version = "0.15.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "accelerate" }, + { name = "huggingface-hub" }, + { name = "numpy" }, + { name = "packaging" }, + { name = "psutil" }, + { name = "pyyaml" }, + { name = "safetensors" }, + { name = "torch" }, + { name = "tqdm" }, + { name = "transformers" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/33/65/faa18cd8ffbe0f742c3f2559770646cce2574b9cd28a2a05e8d36f64e968/peft-0.15.2.tar.gz", hash = "sha256:7059029f4d42a092ded1aa117dd366a46084aef638bdd593f6ab0195d5427fcd", size = 472952, upload-time = "2025-04-15T15:27:53.09Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/68/85/8e6ea3d1089f2b6de3c1cd34bbbd7560912af9d34b057be3b8b8fefe1da3/peft-0.15.2-py3-none-any.whl", hash = "sha256:0dfc942b03b7af4b7267cd4e30b15e3a4a1d277adc581ce6245fc13f1f93d0a0", size = 411051, upload-time = "2025-04-15T15:27:50.799Z" }, +] + +[[package]] +name = "pexpect" +version = "4.9.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "ptyprocess" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/42/92/cc564bf6381ff43ce1f4d06852fc19a2f11d180f23dc32d9588bee2f149d/pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f", size = 166450, upload-time = "2023-11-25T09:07:26.339Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9e/c3/059298687310d527a58bb01f3b1965787ee3b40dce76752eda8b44e9a2c5/pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523", size = 63772, upload-time = "2023-11-25T06:56:14.81Z" }, +] + +[[package]] +name = "pillow" +version = "11.2.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/af/cb/bb5c01fcd2a69335b86c22142b2bccfc3464087efb7fd382eee5ffc7fdf7/pillow-11.2.1.tar.gz", hash = "sha256:a64dd61998416367b7ef979b73d3a85853ba9bec4c2925f74e588879a58716b6", size = 47026707, upload-time = "2025-04-12T17:50:03.289Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/0d/8b/b158ad57ed44d3cc54db8d68ad7c0a58b8fc0e4c7a3f995f9d62d5b464a1/pillow-11.2.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:d57a75d53922fc20c165016a20d9c44f73305e67c351bbc60d1adaf662e74047", size = 3198442, upload-time = "2025-04-12T17:47:10.666Z" }, + { url = "https://files.pythonhosted.org/packages/b1/f8/bb5d956142f86c2d6cc36704943fa761f2d2e4c48b7436fd0a85c20f1713/pillow-11.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:127bf6ac4a5b58b3d32fc8289656f77f80567d65660bc46f72c0d77e6600cc95", size = 3030553, upload-time = "2025-04-12T17:47:13.153Z" }, + { url = "https://files.pythonhosted.org/packages/22/7f/0e413bb3e2aa797b9ca2c5c38cb2e2e45d88654e5b12da91ad446964cfae/pillow-11.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b4ba4be812c7a40280629e55ae0b14a0aafa150dd6451297562e1764808bbe61", size = 4405503, upload-time = "2025-04-12T17:47:15.36Z" }, + { url = "https://files.pythonhosted.org/packages/f3/b4/cc647f4d13f3eb837d3065824aa58b9bcf10821f029dc79955ee43f793bd/pillow-11.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8bd62331e5032bc396a93609982a9ab6b411c05078a52f5fe3cc59234a3abd1", size = 4490648, upload-time = "2025-04-12T17:47:17.37Z" }, + { url = "https://files.pythonhosted.org/packages/c2/6f/240b772a3b35cdd7384166461567aa6713799b4e78d180c555bd284844ea/pillow-11.2.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:562d11134c97a62fe3af29581f083033179f7ff435f78392565a1ad2d1c2c45c", size = 4508937, upload-time = "2025-04-12T17:47:19.066Z" }, + { url = "https://files.pythonhosted.org/packages/f3/5e/7ca9c815ade5fdca18853db86d812f2f188212792780208bdb37a0a6aef4/pillow-11.2.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:c97209e85b5be259994eb5b69ff50c5d20cca0f458ef9abd835e262d9d88b39d", size = 4599802, upload-time = "2025-04-12T17:47:21.404Z" }, + { url = "https://files.pythonhosted.org/packages/02/81/c3d9d38ce0c4878a77245d4cf2c46d45a4ad0f93000227910a46caff52f3/pillow-11.2.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:0c3e6d0f59171dfa2e25d7116217543310908dfa2770aa64b8f87605f8cacc97", size = 4576717, upload-time = "2025-04-12T17:47:23.571Z" }, + { url = "https://files.pythonhosted.org/packages/42/49/52b719b89ac7da3185b8d29c94d0e6aec8140059e3d8adcaa46da3751180/pillow-11.2.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:cc1c3bc53befb6096b84165956e886b1729634a799e9d6329a0c512ab651e579", size = 4654874, upload-time = "2025-04-12T17:47:25.783Z" }, + { url = "https://files.pythonhosted.org/packages/5b/0b/ede75063ba6023798267023dc0d0401f13695d228194d2242d5a7ba2f964/pillow-11.2.1-cp310-cp310-win32.whl", hash = "sha256:312c77b7f07ab2139924d2639860e084ec2a13e72af54d4f08ac843a5fc9c79d", size = 2331717, upload-time = "2025-04-12T17:47:28.922Z" }, + { url = "https://files.pythonhosted.org/packages/ed/3c/9831da3edea527c2ed9a09f31a2c04e77cd705847f13b69ca60269eec370/pillow-11.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:9bc7ae48b8057a611e5fe9f853baa88093b9a76303937449397899385da06fad", size = 2676204, upload-time = "2025-04-12T17:47:31.283Z" }, + { url = "https://files.pythonhosted.org/packages/01/97/1f66ff8a1503d8cbfc5bae4dc99d54c6ec1e22ad2b946241365320caabc2/pillow-11.2.1-cp310-cp310-win_arm64.whl", hash = "sha256:2728567e249cdd939f6cc3d1f049595c66e4187f3c34078cbc0a7d21c47482d2", size = 2414767, upload-time = "2025-04-12T17:47:34.655Z" }, + { url = "https://files.pythonhosted.org/packages/68/08/3fbf4b98924c73037a8e8b4c2c774784805e0fb4ebca6c5bb60795c40125/pillow-11.2.1-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:35ca289f712ccfc699508c4658a1d14652e8033e9b69839edf83cbdd0ba39e70", size = 3198450, upload-time = "2025-04-12T17:47:37.135Z" }, + { url = "https://files.pythonhosted.org/packages/84/92/6505b1af3d2849d5e714fc75ba9e69b7255c05ee42383a35a4d58f576b16/pillow-11.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e0409af9f829f87a2dfb7e259f78f317a5351f2045158be321fd135973fff7bf", size = 3030550, upload-time = "2025-04-12T17:47:39.345Z" }, + { url = "https://files.pythonhosted.org/packages/3c/8c/ac2f99d2a70ff966bc7eb13dacacfaab57c0549b2ffb351b6537c7840b12/pillow-11.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4e5c5edee874dce4f653dbe59db7c73a600119fbea8d31f53423586ee2aafd7", size = 4415018, upload-time = "2025-04-12T17:47:41.128Z" }, + { url = "https://files.pythonhosted.org/packages/1f/e3/0a58b5d838687f40891fff9cbaf8669f90c96b64dc8f91f87894413856c6/pillow-11.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b93a07e76d13bff9444f1a029e0af2964e654bfc2e2c2d46bfd080df5ad5f3d8", size = 4498006, upload-time = "2025-04-12T17:47:42.912Z" }, + { url = "https://files.pythonhosted.org/packages/21/f5/6ba14718135f08fbfa33308efe027dd02b781d3f1d5c471444a395933aac/pillow-11.2.1-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:e6def7eed9e7fa90fde255afaf08060dc4b343bbe524a8f69bdd2a2f0018f600", size = 4517773, upload-time = "2025-04-12T17:47:44.611Z" }, + { url = "https://files.pythonhosted.org/packages/20/f2/805ad600fc59ebe4f1ba6129cd3a75fb0da126975c8579b8f57abeb61e80/pillow-11.2.1-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:8f4f3724c068be008c08257207210c138d5f3731af6c155a81c2b09a9eb3a788", size = 4607069, upload-time = "2025-04-12T17:47:46.46Z" }, + { url = "https://files.pythonhosted.org/packages/71/6b/4ef8a288b4bb2e0180cba13ca0a519fa27aa982875882392b65131401099/pillow-11.2.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a0a6709b47019dff32e678bc12c63008311b82b9327613f534e496dacaefb71e", size = 4583460, upload-time = "2025-04-12T17:47:49.255Z" }, + { url = "https://files.pythonhosted.org/packages/62/ae/f29c705a09cbc9e2a456590816e5c234382ae5d32584f451c3eb41a62062/pillow-11.2.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f6b0c664ccb879109ee3ca702a9272d877f4fcd21e5eb63c26422fd6e415365e", size = 4661304, upload-time = "2025-04-12T17:47:51.067Z" }, + { url = "https://files.pythonhosted.org/packages/6e/1a/c8217b6f2f73794a5e219fbad087701f412337ae6dbb956db37d69a9bc43/pillow-11.2.1-cp311-cp311-win32.whl", hash = "sha256:cc5d875d56e49f112b6def6813c4e3d3036d269c008bf8aef72cd08d20ca6df6", size = 2331809, upload-time = "2025-04-12T17:47:54.425Z" }, + { url = "https://files.pythonhosted.org/packages/e2/72/25a8f40170dc262e86e90f37cb72cb3de5e307f75bf4b02535a61afcd519/pillow-11.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:0f5c7eda47bf8e3c8a283762cab94e496ba977a420868cb819159980b6709193", size = 2676338, upload-time = "2025-04-12T17:47:56.535Z" }, + { url = "https://files.pythonhosted.org/packages/06/9e/76825e39efee61efea258b479391ca77d64dbd9e5804e4ad0fa453b4ba55/pillow-11.2.1-cp311-cp311-win_arm64.whl", hash = "sha256:4d375eb838755f2528ac8cbc926c3e31cc49ca4ad0cf79cff48b20e30634a4a7", size = 2414918, upload-time = "2025-04-12T17:47:58.217Z" }, + { url = "https://files.pythonhosted.org/packages/c7/40/052610b15a1b8961f52537cc8326ca6a881408bc2bdad0d852edeb6ed33b/pillow-11.2.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:78afba22027b4accef10dbd5eed84425930ba41b3ea0a86fa8d20baaf19d807f", size = 3190185, upload-time = "2025-04-12T17:48:00.417Z" }, + { url = "https://files.pythonhosted.org/packages/e5/7e/b86dbd35a5f938632093dc40d1682874c33dcfe832558fc80ca56bfcb774/pillow-11.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:78092232a4ab376a35d68c4e6d5e00dfd73454bd12b230420025fbe178ee3b0b", size = 3030306, upload-time = "2025-04-12T17:48:02.391Z" }, + { url = "https://files.pythonhosted.org/packages/a4/5c/467a161f9ed53e5eab51a42923c33051bf8d1a2af4626ac04f5166e58e0c/pillow-11.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25a5f306095c6780c52e6bbb6109624b95c5b18e40aab1c3041da3e9e0cd3e2d", size = 4416121, upload-time = "2025-04-12T17:48:04.554Z" }, + { url = "https://files.pythonhosted.org/packages/62/73/972b7742e38ae0e2ac76ab137ca6005dcf877480da0d9d61d93b613065b4/pillow-11.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c7b29dbd4281923a2bfe562acb734cee96bbb129e96e6972d315ed9f232bef4", size = 4501707, upload-time = "2025-04-12T17:48:06.831Z" }, + { url = "https://files.pythonhosted.org/packages/e4/3a/427e4cb0b9e177efbc1a84798ed20498c4f233abde003c06d2650a6d60cb/pillow-11.2.1-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:3e645b020f3209a0181a418bffe7b4a93171eef6c4ef6cc20980b30bebf17b7d", size = 4522921, upload-time = "2025-04-12T17:48:09.229Z" }, + { url = "https://files.pythonhosted.org/packages/fe/7c/d8b1330458e4d2f3f45d9508796d7caf0c0d3764c00c823d10f6f1a3b76d/pillow-11.2.1-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:b2dbea1012ccb784a65349f57bbc93730b96e85b42e9bf7b01ef40443db720b4", size = 4612523, upload-time = "2025-04-12T17:48:11.631Z" }, + { url = "https://files.pythonhosted.org/packages/b3/2f/65738384e0b1acf451de5a573d8153fe84103772d139e1e0bdf1596be2ea/pillow-11.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:da3104c57bbd72948d75f6a9389e6727d2ab6333c3617f0a89d72d4940aa0443", size = 4587836, upload-time = "2025-04-12T17:48:13.592Z" }, + { url = "https://files.pythonhosted.org/packages/6a/c5/e795c9f2ddf3debb2dedd0df889f2fe4b053308bb59a3cc02a0cd144d641/pillow-11.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:598174aef4589af795f66f9caab87ba4ff860ce08cd5bb447c6fc553ffee603c", size = 4669390, upload-time = "2025-04-12T17:48:15.938Z" }, + { url = "https://files.pythonhosted.org/packages/96/ae/ca0099a3995976a9fce2f423166f7bff9b12244afdc7520f6ed38911539a/pillow-11.2.1-cp312-cp312-win32.whl", hash = "sha256:1d535df14716e7f8776b9e7fee118576d65572b4aad3ed639be9e4fa88a1cad3", size = 2332309, upload-time = "2025-04-12T17:48:17.885Z" }, + { url = "https://files.pythonhosted.org/packages/7c/18/24bff2ad716257fc03da964c5e8f05d9790a779a8895d6566e493ccf0189/pillow-11.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:14e33b28bf17c7a38eede290f77db7c664e4eb01f7869e37fa98a5aa95978941", size = 2676768, upload-time = "2025-04-12T17:48:19.655Z" }, + { url = "https://files.pythonhosted.org/packages/da/bb/e8d656c9543276517ee40184aaa39dcb41e683bca121022f9323ae11b39d/pillow-11.2.1-cp312-cp312-win_arm64.whl", hash = "sha256:21e1470ac9e5739ff880c211fc3af01e3ae505859392bf65458c224d0bf283eb", size = 2415087, upload-time = "2025-04-12T17:48:21.991Z" }, + { url = "https://files.pythonhosted.org/packages/36/9c/447528ee3776e7ab8897fe33697a7ff3f0475bb490c5ac1456a03dc57956/pillow-11.2.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:fdec757fea0b793056419bca3e9932eb2b0ceec90ef4813ea4c1e072c389eb28", size = 3190098, upload-time = "2025-04-12T17:48:23.915Z" }, + { url = "https://files.pythonhosted.org/packages/b5/09/29d5cd052f7566a63e5b506fac9c60526e9ecc553825551333e1e18a4858/pillow-11.2.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:b0e130705d568e2f43a17bcbe74d90958e8a16263868a12c3e0d9c8162690830", size = 3030166, upload-time = "2025-04-12T17:48:25.738Z" }, + { url = "https://files.pythonhosted.org/packages/71/5d/446ee132ad35e7600652133f9c2840b4799bbd8e4adba881284860da0a36/pillow-11.2.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7bdb5e09068332578214cadd9c05e3d64d99e0e87591be22a324bdbc18925be0", size = 4408674, upload-time = "2025-04-12T17:48:27.908Z" }, + { url = "https://files.pythonhosted.org/packages/69/5f/cbe509c0ddf91cc3a03bbacf40e5c2339c4912d16458fcb797bb47bcb269/pillow-11.2.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d189ba1bebfbc0c0e529159631ec72bb9e9bc041f01ec6d3233d6d82eb823bc1", size = 4496005, upload-time = "2025-04-12T17:48:29.888Z" }, + { url = "https://files.pythonhosted.org/packages/f9/b3/dd4338d8fb8a5f312021f2977fb8198a1184893f9b00b02b75d565c33b51/pillow-11.2.1-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:191955c55d8a712fab8934a42bfefbf99dd0b5875078240943f913bb66d46d9f", size = 4518707, upload-time = "2025-04-12T17:48:31.874Z" }, + { url = "https://files.pythonhosted.org/packages/13/eb/2552ecebc0b887f539111c2cd241f538b8ff5891b8903dfe672e997529be/pillow-11.2.1-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:ad275964d52e2243430472fc5d2c2334b4fc3ff9c16cb0a19254e25efa03a155", size = 4610008, upload-time = "2025-04-12T17:48:34.422Z" }, + { url = "https://files.pythonhosted.org/packages/72/d1/924ce51bea494cb6e7959522d69d7b1c7e74f6821d84c63c3dc430cbbf3b/pillow-11.2.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:750f96efe0597382660d8b53e90dd1dd44568a8edb51cb7f9d5d918b80d4de14", size = 4585420, upload-time = "2025-04-12T17:48:37.641Z" }, + { url = "https://files.pythonhosted.org/packages/43/ab/8f81312d255d713b99ca37479a4cb4b0f48195e530cdc1611990eb8fd04b/pillow-11.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:fe15238d3798788d00716637b3d4e7bb6bde18b26e5d08335a96e88564a36b6b", size = 4667655, upload-time = "2025-04-12T17:48:39.652Z" }, + { url = "https://files.pythonhosted.org/packages/94/86/8f2e9d2dc3d308dfd137a07fe1cc478df0a23d42a6c4093b087e738e4827/pillow-11.2.1-cp313-cp313-win32.whl", hash = "sha256:3fe735ced9a607fee4f481423a9c36701a39719252a9bb251679635f99d0f7d2", size = 2332329, upload-time = "2025-04-12T17:48:41.765Z" }, + { url = "https://files.pythonhosted.org/packages/6d/ec/1179083b8d6067a613e4d595359b5fdea65d0a3b7ad623fee906e1b3c4d2/pillow-11.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:74ee3d7ecb3f3c05459ba95eed5efa28d6092d751ce9bf20e3e253a4e497e691", size = 2676388, upload-time = "2025-04-12T17:48:43.625Z" }, + { url = "https://files.pythonhosted.org/packages/23/f1/2fc1e1e294de897df39fa8622d829b8828ddad938b0eaea256d65b84dd72/pillow-11.2.1-cp313-cp313-win_arm64.whl", hash = "sha256:5119225c622403afb4b44bad4c1ca6c1f98eed79db8d3bc6e4e160fc6339d66c", size = 2414950, upload-time = "2025-04-12T17:48:45.475Z" }, + { url = "https://files.pythonhosted.org/packages/c4/3e/c328c48b3f0ead7bab765a84b4977acb29f101d10e4ef57a5e3400447c03/pillow-11.2.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:8ce2e8411c7aaef53e6bb29fe98f28cd4fbd9a1d9be2eeea434331aac0536b22", size = 3192759, upload-time = "2025-04-12T17:48:47.866Z" }, + { url = "https://files.pythonhosted.org/packages/18/0e/1c68532d833fc8b9f404d3a642991441d9058eccd5606eab31617f29b6d4/pillow-11.2.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:9ee66787e095127116d91dea2143db65c7bb1e232f617aa5957c0d9d2a3f23a7", size = 3033284, upload-time = "2025-04-12T17:48:50.189Z" }, + { url = "https://files.pythonhosted.org/packages/b7/cb/6faf3fb1e7705fd2db74e070f3bf6f88693601b0ed8e81049a8266de4754/pillow-11.2.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9622e3b6c1d8b551b6e6f21873bdcc55762b4b2126633014cea1803368a9aa16", size = 4445826, upload-time = "2025-04-12T17:48:52.346Z" }, + { url = "https://files.pythonhosted.org/packages/07/94/8be03d50b70ca47fb434a358919d6a8d6580f282bbb7af7e4aa40103461d/pillow-11.2.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63b5dff3a68f371ea06025a1a6966c9a1e1ee452fc8020c2cd0ea41b83e9037b", size = 4527329, upload-time = "2025-04-12T17:48:54.403Z" }, + { url = "https://files.pythonhosted.org/packages/fd/a4/bfe78777076dc405e3bd2080bc32da5ab3945b5a25dc5d8acaa9de64a162/pillow-11.2.1-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:31df6e2d3d8fc99f993fd253e97fae451a8db2e7207acf97859732273e108406", size = 4549049, upload-time = "2025-04-12T17:48:56.383Z" }, + { url = "https://files.pythonhosted.org/packages/65/4d/eaf9068dc687c24979e977ce5677e253624bd8b616b286f543f0c1b91662/pillow-11.2.1-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:062b7a42d672c45a70fa1f8b43d1d38ff76b63421cbbe7f88146b39e8a558d91", size = 4635408, upload-time = "2025-04-12T17:48:58.782Z" }, + { url = "https://files.pythonhosted.org/packages/1d/26/0fd443365d9c63bc79feb219f97d935cd4b93af28353cba78d8e77b61719/pillow-11.2.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:4eb92eca2711ef8be42fd3f67533765d9fd043b8c80db204f16c8ea62ee1a751", size = 4614863, upload-time = "2025-04-12T17:49:00.709Z" }, + { url = "https://files.pythonhosted.org/packages/49/65/dca4d2506be482c2c6641cacdba5c602bc76d8ceb618fd37de855653a419/pillow-11.2.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:f91ebf30830a48c825590aede79376cb40f110b387c17ee9bd59932c961044f9", size = 4692938, upload-time = "2025-04-12T17:49:02.946Z" }, + { url = "https://files.pythonhosted.org/packages/b3/92/1ca0c3f09233bd7decf8f7105a1c4e3162fb9142128c74adad0fb361b7eb/pillow-11.2.1-cp313-cp313t-win32.whl", hash = "sha256:e0b55f27f584ed623221cfe995c912c61606be8513bfa0e07d2c674b4516d9dd", size = 2335774, upload-time = "2025-04-12T17:49:04.889Z" }, + { url = "https://files.pythonhosted.org/packages/a5/ac/77525347cb43b83ae905ffe257bbe2cc6fd23acb9796639a1f56aa59d191/pillow-11.2.1-cp313-cp313t-win_amd64.whl", hash = "sha256:36d6b82164c39ce5482f649b437382c0fb2395eabc1e2b1702a6deb8ad647d6e", size = 2681895, upload-time = "2025-04-12T17:49:06.635Z" }, + { url = "https://files.pythonhosted.org/packages/67/32/32dc030cfa91ca0fc52baebbba2e009bb001122a1daa8b6a79ad830b38d3/pillow-11.2.1-cp313-cp313t-win_arm64.whl", hash = "sha256:225c832a13326e34f212d2072982bb1adb210e0cc0b153e688743018c94a2681", size = 2417234, upload-time = "2025-04-12T17:49:08.399Z" }, + { url = "https://files.pythonhosted.org/packages/33/49/c8c21e4255b4f4a2c0c68ac18125d7f5460b109acc6dfdef1a24f9b960ef/pillow-11.2.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:9b7b0d4fd2635f54ad82785d56bc0d94f147096493a79985d0ab57aedd563156", size = 3181727, upload-time = "2025-04-12T17:49:31.898Z" }, + { url = "https://files.pythonhosted.org/packages/6d/f1/f7255c0838f8c1ef6d55b625cfb286835c17e8136ce4351c5577d02c443b/pillow-11.2.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:aa442755e31c64037aa7c1cb186e0b369f8416c567381852c63444dd666fb772", size = 2999833, upload-time = "2025-04-12T17:49:34.2Z" }, + { url = "https://files.pythonhosted.org/packages/e2/57/9968114457bd131063da98d87790d080366218f64fa2943b65ac6739abb3/pillow-11.2.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f0d3348c95b766f54b76116d53d4cb171b52992a1027e7ca50c81b43b9d9e363", size = 3437472, upload-time = "2025-04-12T17:49:36.294Z" }, + { url = "https://files.pythonhosted.org/packages/b2/1b/e35d8a158e21372ecc48aac9c453518cfe23907bb82f950d6e1c72811eb0/pillow-11.2.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85d27ea4c889342f7e35f6d56e7e1cb345632ad592e8c51b693d7b7556043ce0", size = 3459976, upload-time = "2025-04-12T17:49:38.988Z" }, + { url = "https://files.pythonhosted.org/packages/26/da/2c11d03b765efff0ccc473f1c4186dc2770110464f2177efaed9cf6fae01/pillow-11.2.1-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:bf2c33d6791c598142f00c9c4c7d47f6476731c31081331664eb26d6ab583e01", size = 3527133, upload-time = "2025-04-12T17:49:40.985Z" }, + { url = "https://files.pythonhosted.org/packages/79/1a/4e85bd7cadf78412c2a3069249a09c32ef3323650fd3005c97cca7aa21df/pillow-11.2.1-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e616e7154c37669fc1dfc14584f11e284e05d1c650e1c0f972f281c4ccc53193", size = 3571555, upload-time = "2025-04-12T17:49:42.964Z" }, + { url = "https://files.pythonhosted.org/packages/69/03/239939915216de1e95e0ce2334bf17a7870ae185eb390fab6d706aadbfc0/pillow-11.2.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:39ad2e0f424394e3aebc40168845fee52df1394a4673a6ee512d840d14ab3013", size = 2674713, upload-time = "2025-04-12T17:49:44.944Z" }, + { url = "https://files.pythonhosted.org/packages/a4/ad/2613c04633c7257d9481ab21d6b5364b59fc5d75faafd7cb8693523945a3/pillow-11.2.1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:80f1df8dbe9572b4b7abdfa17eb5d78dd620b1d55d9e25f834efdbee872d3aed", size = 3181734, upload-time = "2025-04-12T17:49:46.789Z" }, + { url = "https://files.pythonhosted.org/packages/a4/fd/dcdda4471ed667de57bb5405bb42d751e6cfdd4011a12c248b455c778e03/pillow-11.2.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:ea926cfbc3957090becbcbbb65ad177161a2ff2ad578b5a6ec9bb1e1cd78753c", size = 2999841, upload-time = "2025-04-12T17:49:48.812Z" }, + { url = "https://files.pythonhosted.org/packages/ac/89/8a2536e95e77432833f0db6fd72a8d310c8e4272a04461fb833eb021bf94/pillow-11.2.1-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:738db0e0941ca0376804d4de6a782c005245264edaa253ffce24e5a15cbdc7bd", size = 3437470, upload-time = "2025-04-12T17:49:50.831Z" }, + { url = "https://files.pythonhosted.org/packages/9d/8f/abd47b73c60712f88e9eda32baced7bfc3e9bd6a7619bb64b93acff28c3e/pillow-11.2.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9db98ab6565c69082ec9b0d4e40dd9f6181dab0dd236d26f7a50b8b9bfbd5076", size = 3460013, upload-time = "2025-04-12T17:49:53.278Z" }, + { url = "https://files.pythonhosted.org/packages/f6/20/5c0a0aa83b213b7a07ec01e71a3d6ea2cf4ad1d2c686cc0168173b6089e7/pillow-11.2.1-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:036e53f4170e270ddb8797d4c590e6dd14d28e15c7da375c18978045f7e6c37b", size = 3527165, upload-time = "2025-04-12T17:49:55.164Z" }, + { url = "https://files.pythonhosted.org/packages/58/0e/2abab98a72202d91146abc839e10c14f7cf36166f12838ea0c4db3ca6ecb/pillow-11.2.1-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:14f73f7c291279bd65fda51ee87affd7c1e097709f7fdd0188957a16c264601f", size = 3571586, upload-time = "2025-04-12T17:49:57.171Z" }, + { url = "https://files.pythonhosted.org/packages/21/2c/5e05f58658cf49b6667762cca03d6e7d85cededde2caf2ab37b81f80e574/pillow-11.2.1-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:208653868d5c9ecc2b327f9b9ef34e0e42a4cdd172c2988fd81d62d2bc9bc044", size = 2674751, upload-time = "2025-04-12T17:49:59.628Z" }, +] + +[[package]] +name = "platformdirs" +version = "4.3.8" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/fe/8b/3c73abc9c759ecd3f1f7ceff6685840859e8070c4d947c93fae71f6a0bf2/platformdirs-4.3.8.tar.gz", hash = "sha256:3d512d96e16bcb959a814c9f348431070822a6496326a4be0911c40b5a74c2bc", size = 21362, upload-time = "2025-05-07T22:47:42.121Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/fe/39/979e8e21520d4e47a0bbe349e2713c0aac6f3d853d0e5b34d76206c439aa/platformdirs-4.3.8-py3-none-any.whl", hash = "sha256:ff7059bb7eb1179e2685604f4aaf157cfd9535242bd23742eadc3c13542139b4", size = 18567, upload-time = "2025-05-07T22:47:40.376Z" }, +] + +[[package]] +name = "plotly" +version = "6.1.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "narwhals" }, + { name = "packaging" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/8a/7c/f396bc817975252afbe7af102ce09cd12ac40a8e90b8699a857d1b15c8a3/plotly-6.1.1.tar.gz", hash = "sha256:84a4f3d36655f1328fa3155377c7e8a9533196697d5b79a4bc5e905bdd09a433", size = 7543694, upload-time = "2025-05-20T20:09:31.935Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/75/f3/f8cb7066f761e2530e1280889e3413769891e349fca35ee7290e4ace35f5/plotly-6.1.1-py3-none-any.whl", hash = "sha256:9cca7167406ebf7ff541422738402159ec3621a608ff7b3e2f025573a1c76225", size = 16118469, upload-time = "2025-05-20T20:09:26.196Z" }, +] + +[[package]] +name = "pre-commit" +version = "4.2.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "cfgv" }, + { name = "identify" }, + { name = "nodeenv" }, + { name = "pyyaml" }, + { name = "virtualenv" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/08/39/679ca9b26c7bb2999ff122d50faa301e49af82ca9c066ec061cfbc0c6784/pre_commit-4.2.0.tar.gz", hash = "sha256:601283b9757afd87d40c4c4a9b2b5de9637a8ea02eaff7adc2d0fb4e04841146", size = 193424, upload-time = "2025-03-18T21:35:20.987Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/88/74/a88bf1b1efeae488a0c0b7bdf71429c313722d1fc0f377537fbe554e6180/pre_commit-4.2.0-py2.py3-none-any.whl", hash = "sha256:a009ca7205f1eb497d10b845e52c838a98b6cdd2102a6c8e4540e94ee75c58bd", size = 220707, upload-time = "2025-03-18T21:35:19.343Z" }, +] + +[[package]] +name = "prometheus-client" +version = "0.22.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/5b/5a/3fa1fa7e91a203759aaf316be394f70f2ef598d589b9785a8611b6094c00/prometheus_client-0.22.0.tar.gz", hash = "sha256:18da1d2241ac2d10c8d2110f13eedcd5c7c0c8af18c926e8731f04fc10cd575c", size = 74443, upload-time = "2025-05-16T20:50:18.333Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/50/c7/cee159ba3d7192e84a4c166ec1752f44a5fa859ac0eeda2d73a1da65ab47/prometheus_client-0.22.0-py3-none-any.whl", hash = "sha256:c8951bbe64e62b96cd8e8f5d917279d1b9b91ab766793f33d4dce6c228558713", size = 62658, upload-time = "2025-05-16T20:50:16.978Z" }, +] + +[[package]] +name = "prompt-toolkit" +version = "3.0.51" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "wcwidth" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/bb/6e/9d084c929dfe9e3bfe0c6a47e31f78a25c54627d64a66e884a8bf5474f1c/prompt_toolkit-3.0.51.tar.gz", hash = "sha256:931a162e3b27fc90c86f1b48bb1fb2c528c2761475e57c9c06de13311c7b54ed", size = 428940, upload-time = "2025-04-15T09:18:47.731Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ce/4f/5249960887b1fbe561d9ff265496d170b55a735b76724f10ef19f9e40716/prompt_toolkit-3.0.51-py3-none-any.whl", hash = "sha256:52742911fde84e2d423e2f9a4cf1de7d7ac4e51958f648d9540e0fb8db077b07", size = 387810, upload-time = "2025-04-15T09:18:44.753Z" }, +] + +[[package]] +name = "propcache" +version = "0.3.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/07/c8/fdc6686a986feae3541ea23dcaa661bd93972d3940460646c6bb96e21c40/propcache-0.3.1.tar.gz", hash = "sha256:40d980c33765359098837527e18eddefc9a24cea5b45e078a7f3bb5b032c6ecf", size = 43651, upload-time = "2025-03-26T03:06:12.05Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/20/56/e27c136101addf877c8291dbda1b3b86ae848f3837ce758510a0d806c92f/propcache-0.3.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f27785888d2fdd918bc36de8b8739f2d6c791399552333721b58193f68ea3e98", size = 80224, upload-time = "2025-03-26T03:03:35.81Z" }, + { url = "https://files.pythonhosted.org/packages/63/bd/88e98836544c4f04db97eefd23b037c2002fa173dd2772301c61cd3085f9/propcache-0.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4e89cde74154c7b5957f87a355bb9c8ec929c167b59c83d90654ea36aeb6180", size = 46491, upload-time = "2025-03-26T03:03:38.107Z" }, + { url = "https://files.pythonhosted.org/packages/15/43/0b8eb2a55753c4a574fc0899885da504b521068d3b08ca56774cad0bea2b/propcache-0.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:730178f476ef03d3d4d255f0c9fa186cb1d13fd33ffe89d39f2cda4da90ceb71", size = 45927, upload-time = "2025-03-26T03:03:39.394Z" }, + { url = "https://files.pythonhosted.org/packages/ad/6c/d01f9dfbbdc613305e0a831016844987a1fb4861dd221cd4c69b1216b43f/propcache-0.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:967a8eec513dbe08330f10137eacb427b2ca52118769e82ebcfcab0fba92a649", size = 206135, upload-time = "2025-03-26T03:03:40.757Z" }, + { url = "https://files.pythonhosted.org/packages/9a/8a/e6e1c77394088f4cfdace4a91a7328e398ebed745d59c2f6764135c5342d/propcache-0.3.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5b9145c35cc87313b5fd480144f8078716007656093d23059e8993d3a8fa730f", size = 220517, upload-time = "2025-03-26T03:03:42.657Z" }, + { url = "https://files.pythonhosted.org/packages/19/3b/6c44fa59d6418f4239d5db8b1ece757351e85d6f3ca126dfe37d427020c8/propcache-0.3.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9e64e948ab41411958670f1093c0a57acfdc3bee5cf5b935671bbd5313bcf229", size = 218952, upload-time = "2025-03-26T03:03:44.549Z" }, + { url = "https://files.pythonhosted.org/packages/7c/e4/4aeb95a1cd085e0558ab0de95abfc5187329616193a1012a6c4c930e9f7a/propcache-0.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:319fa8765bfd6a265e5fa661547556da381e53274bc05094fc9ea50da51bfd46", size = 206593, upload-time = "2025-03-26T03:03:46.114Z" }, + { url = "https://files.pythonhosted.org/packages/da/6a/29fa75de1cbbb302f1e1d684009b969976ca603ee162282ae702287b6621/propcache-0.3.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c66d8ccbc902ad548312b96ed8d5d266d0d2c6d006fd0f66323e9d8f2dd49be7", size = 196745, upload-time = "2025-03-26T03:03:48.02Z" }, + { url = "https://files.pythonhosted.org/packages/19/7e/2237dad1dbffdd2162de470599fa1a1d55df493b16b71e5d25a0ac1c1543/propcache-0.3.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:2d219b0dbabe75e15e581fc1ae796109b07c8ba7d25b9ae8d650da582bed01b0", size = 203369, upload-time = "2025-03-26T03:03:49.63Z" }, + { url = "https://files.pythonhosted.org/packages/a4/bc/a82c5878eb3afb5c88da86e2cf06e1fe78b7875b26198dbb70fe50a010dc/propcache-0.3.1-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:cd6a55f65241c551eb53f8cf4d2f4af33512c39da5d9777694e9d9c60872f519", size = 198723, upload-time = "2025-03-26T03:03:51.091Z" }, + { url = "https://files.pythonhosted.org/packages/17/76/9632254479c55516f51644ddbf747a45f813031af5adcb8db91c0b824375/propcache-0.3.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:9979643ffc69b799d50d3a7b72b5164a2e97e117009d7af6dfdd2ab906cb72cd", size = 200751, upload-time = "2025-03-26T03:03:52.631Z" }, + { url = "https://files.pythonhosted.org/packages/3e/c3/a90b773cf639bd01d12a9e20c95be0ae978a5a8abe6d2d343900ae76cd71/propcache-0.3.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:4cf9e93a81979f1424f1a3d155213dc928f1069d697e4353edb8a5eba67c6259", size = 210730, upload-time = "2025-03-26T03:03:54.498Z" }, + { url = "https://files.pythonhosted.org/packages/ed/ec/ad5a952cdb9d65c351f88db7c46957edd3d65ffeee72a2f18bd6341433e0/propcache-0.3.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:2fce1df66915909ff6c824bbb5eb403d2d15f98f1518e583074671a30fe0c21e", size = 213499, upload-time = "2025-03-26T03:03:56.054Z" }, + { url = "https://files.pythonhosted.org/packages/83/c0/ea5133dda43e298cd2010ec05c2821b391e10980e64ee72c0a76cdbb813a/propcache-0.3.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:4d0dfdd9a2ebc77b869a0b04423591ea8823f791293b527dc1bb896c1d6f1136", size = 207132, upload-time = "2025-03-26T03:03:57.398Z" }, + { url = "https://files.pythonhosted.org/packages/79/dd/71aae9dec59333064cfdd7eb31a63fa09f64181b979802a67a90b2abfcba/propcache-0.3.1-cp310-cp310-win32.whl", hash = "sha256:1f6cc0ad7b4560e5637eb2c994e97b4fa41ba8226069c9277eb5ea7101845b42", size = 40952, upload-time = "2025-03-26T03:03:59.146Z" }, + { url = "https://files.pythonhosted.org/packages/31/0a/49ff7e5056c17dfba62cbdcbb90a29daffd199c52f8e65e5cb09d5f53a57/propcache-0.3.1-cp310-cp310-win_amd64.whl", hash = "sha256:47ef24aa6511e388e9894ec16f0fbf3313a53ee68402bc428744a367ec55b833", size = 45163, upload-time = "2025-03-26T03:04:00.672Z" }, + { url = "https://files.pythonhosted.org/packages/90/0f/5a5319ee83bd651f75311fcb0c492c21322a7fc8f788e4eef23f44243427/propcache-0.3.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:7f30241577d2fef2602113b70ef7231bf4c69a97e04693bde08ddab913ba0ce5", size = 80243, upload-time = "2025-03-26T03:04:01.912Z" }, + { url = "https://files.pythonhosted.org/packages/ce/84/3db5537e0879942783e2256616ff15d870a11d7ac26541336fe1b673c818/propcache-0.3.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:43593c6772aa12abc3af7784bff4a41ffa921608dd38b77cf1dfd7f5c4e71371", size = 46503, upload-time = "2025-03-26T03:04:03.704Z" }, + { url = "https://files.pythonhosted.org/packages/e2/c8/b649ed972433c3f0d827d7f0cf9ea47162f4ef8f4fe98c5f3641a0bc63ff/propcache-0.3.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a75801768bbe65499495660b777e018cbe90c7980f07f8aa57d6be79ea6f71da", size = 45934, upload-time = "2025-03-26T03:04:05.257Z" }, + { url = "https://files.pythonhosted.org/packages/59/f9/4c0a5cf6974c2c43b1a6810c40d889769cc8f84cea676cbe1e62766a45f8/propcache-0.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f6f1324db48f001c2ca26a25fa25af60711e09b9aaf4b28488602776f4f9a744", size = 233633, upload-time = "2025-03-26T03:04:07.044Z" }, + { url = "https://files.pythonhosted.org/packages/e7/64/66f2f4d1b4f0007c6e9078bd95b609b633d3957fe6dd23eac33ebde4b584/propcache-0.3.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5cdb0f3e1eb6dfc9965d19734d8f9c481b294b5274337a8cb5cb01b462dcb7e0", size = 241124, upload-time = "2025-03-26T03:04:08.676Z" }, + { url = "https://files.pythonhosted.org/packages/aa/bf/7b8c9fd097d511638fa9b6af3d986adbdf567598a567b46338c925144c1b/propcache-0.3.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1eb34d90aac9bfbced9a58b266f8946cb5935869ff01b164573a7634d39fbcb5", size = 240283, upload-time = "2025-03-26T03:04:10.172Z" }, + { url = "https://files.pythonhosted.org/packages/fa/c9/e85aeeeaae83358e2a1ef32d6ff50a483a5d5248bc38510d030a6f4e2816/propcache-0.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f35c7070eeec2cdaac6fd3fe245226ed2a6292d3ee8c938e5bb645b434c5f256", size = 232498, upload-time = "2025-03-26T03:04:11.616Z" }, + { url = "https://files.pythonhosted.org/packages/8e/66/acb88e1f30ef5536d785c283af2e62931cb934a56a3ecf39105887aa8905/propcache-0.3.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b23c11c2c9e6d4e7300c92e022046ad09b91fd00e36e83c44483df4afa990073", size = 221486, upload-time = "2025-03-26T03:04:13.102Z" }, + { url = "https://files.pythonhosted.org/packages/f5/f9/233ddb05ffdcaee4448508ee1d70aa7deff21bb41469ccdfcc339f871427/propcache-0.3.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:3e19ea4ea0bf46179f8a3652ac1426e6dcbaf577ce4b4f65be581e237340420d", size = 222675, upload-time = "2025-03-26T03:04:14.658Z" }, + { url = "https://files.pythonhosted.org/packages/98/b8/eb977e28138f9e22a5a789daf608d36e05ed93093ef12a12441030da800a/propcache-0.3.1-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:bd39c92e4c8f6cbf5f08257d6360123af72af9f4da75a690bef50da77362d25f", size = 215727, upload-time = "2025-03-26T03:04:16.207Z" }, + { url = "https://files.pythonhosted.org/packages/89/2d/5f52d9c579f67b8ee1edd9ec073c91b23cc5b7ff7951a1e449e04ed8fdf3/propcache-0.3.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:b0313e8b923b3814d1c4a524c93dfecea5f39fa95601f6a9b1ac96cd66f89ea0", size = 217878, upload-time = "2025-03-26T03:04:18.11Z" }, + { url = "https://files.pythonhosted.org/packages/7a/fd/5283e5ed8a82b00c7a989b99bb6ea173db1ad750bf0bf8dff08d3f4a4e28/propcache-0.3.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:e861ad82892408487be144906a368ddbe2dc6297074ade2d892341b35c59844a", size = 230558, upload-time = "2025-03-26T03:04:19.562Z" }, + { url = "https://files.pythonhosted.org/packages/90/38/ab17d75938ef7ac87332c588857422ae126b1c76253f0f5b1242032923ca/propcache-0.3.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:61014615c1274df8da5991a1e5da85a3ccb00c2d4701ac6f3383afd3ca47ab0a", size = 233754, upload-time = "2025-03-26T03:04:21.065Z" }, + { url = "https://files.pythonhosted.org/packages/06/5d/3b921b9c60659ae464137508d3b4c2b3f52f592ceb1964aa2533b32fcf0b/propcache-0.3.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:71ebe3fe42656a2328ab08933d420df5f3ab121772eef78f2dc63624157f0ed9", size = 226088, upload-time = "2025-03-26T03:04:22.718Z" }, + { url = "https://files.pythonhosted.org/packages/54/6e/30a11f4417d9266b5a464ac5a8c5164ddc9dd153dfa77bf57918165eb4ae/propcache-0.3.1-cp311-cp311-win32.whl", hash = "sha256:58aa11f4ca8b60113d4b8e32d37e7e78bd8af4d1a5b5cb4979ed856a45e62005", size = 40859, upload-time = "2025-03-26T03:04:24.039Z" }, + { url = "https://files.pythonhosted.org/packages/1d/3a/8a68dd867da9ca2ee9dfd361093e9cb08cb0f37e5ddb2276f1b5177d7731/propcache-0.3.1-cp311-cp311-win_amd64.whl", hash = "sha256:9532ea0b26a401264b1365146c440a6d78269ed41f83f23818d4b79497aeabe7", size = 45153, upload-time = "2025-03-26T03:04:25.211Z" }, + { url = "https://files.pythonhosted.org/packages/41/aa/ca78d9be314d1e15ff517b992bebbed3bdfef5b8919e85bf4940e57b6137/propcache-0.3.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:f78eb8422acc93d7b69964012ad7048764bb45a54ba7a39bb9e146c72ea29723", size = 80430, upload-time = "2025-03-26T03:04:26.436Z" }, + { url = "https://files.pythonhosted.org/packages/1a/d8/f0c17c44d1cda0ad1979af2e593ea290defdde9eaeb89b08abbe02a5e8e1/propcache-0.3.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:89498dd49c2f9a026ee057965cdf8192e5ae070ce7d7a7bd4b66a8e257d0c976", size = 46637, upload-time = "2025-03-26T03:04:27.932Z" }, + { url = "https://files.pythonhosted.org/packages/ae/bd/c1e37265910752e6e5e8a4c1605d0129e5b7933c3dc3cf1b9b48ed83b364/propcache-0.3.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:09400e98545c998d57d10035ff623266927cb784d13dd2b31fd33b8a5316b85b", size = 46123, upload-time = "2025-03-26T03:04:30.659Z" }, + { url = "https://files.pythonhosted.org/packages/d4/b0/911eda0865f90c0c7e9f0415d40a5bf681204da5fd7ca089361a64c16b28/propcache-0.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aa8efd8c5adc5a2c9d3b952815ff8f7710cefdcaf5f2c36d26aff51aeca2f12f", size = 243031, upload-time = "2025-03-26T03:04:31.977Z" }, + { url = "https://files.pythonhosted.org/packages/0a/06/0da53397c76a74271621807265b6eb61fb011451b1ddebf43213df763669/propcache-0.3.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c2fe5c910f6007e716a06d269608d307b4f36e7babee5f36533722660e8c4a70", size = 249100, upload-time = "2025-03-26T03:04:33.45Z" }, + { url = "https://files.pythonhosted.org/packages/f1/eb/13090e05bf6b963fc1653cdc922133ced467cb4b8dab53158db5a37aa21e/propcache-0.3.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a0ab8cf8cdd2194f8ff979a43ab43049b1df0b37aa64ab7eca04ac14429baeb7", size = 250170, upload-time = "2025-03-26T03:04:35.542Z" }, + { url = "https://files.pythonhosted.org/packages/3b/4c/f72c9e1022b3b043ec7dc475a0f405d4c3e10b9b1d378a7330fecf0652da/propcache-0.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:563f9d8c03ad645597b8d010ef4e9eab359faeb11a0a2ac9f7b4bc8c28ebef25", size = 245000, upload-time = "2025-03-26T03:04:37.501Z" }, + { url = "https://files.pythonhosted.org/packages/e8/fd/970ca0e22acc829f1adf5de3724085e778c1ad8a75bec010049502cb3a86/propcache-0.3.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fb6e0faf8cb6b4beea5d6ed7b5a578254c6d7df54c36ccd3d8b3eb00d6770277", size = 230262, upload-time = "2025-03-26T03:04:39.532Z" }, + { url = "https://files.pythonhosted.org/packages/c4/42/817289120c6b9194a44f6c3e6b2c3277c5b70bbad39e7df648f177cc3634/propcache-0.3.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1c5c7ab7f2bb3f573d1cb921993006ba2d39e8621019dffb1c5bc94cdbae81e8", size = 236772, upload-time = "2025-03-26T03:04:41.109Z" }, + { url = "https://files.pythonhosted.org/packages/7c/9c/3b3942b302badd589ad6b672da3ca7b660a6c2f505cafd058133ddc73918/propcache-0.3.1-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:050b571b2e96ec942898f8eb46ea4bfbb19bd5502424747e83badc2d4a99a44e", size = 231133, upload-time = "2025-03-26T03:04:42.544Z" }, + { url = "https://files.pythonhosted.org/packages/98/a1/75f6355f9ad039108ff000dfc2e19962c8dea0430da9a1428e7975cf24b2/propcache-0.3.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:e1c4d24b804b3a87e9350f79e2371a705a188d292fd310e663483af6ee6718ee", size = 230741, upload-time = "2025-03-26T03:04:44.06Z" }, + { url = "https://files.pythonhosted.org/packages/67/0c/3e82563af77d1f8731132166da69fdfd95e71210e31f18edce08a1eb11ea/propcache-0.3.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:e4fe2a6d5ce975c117a6bb1e8ccda772d1e7029c1cca1acd209f91d30fa72815", size = 244047, upload-time = "2025-03-26T03:04:45.983Z" }, + { url = "https://files.pythonhosted.org/packages/f7/50/9fb7cca01532a08c4d5186d7bb2da6c4c587825c0ae134b89b47c7d62628/propcache-0.3.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:feccd282de1f6322f56f6845bf1207a537227812f0a9bf5571df52bb418d79d5", size = 246467, upload-time = "2025-03-26T03:04:47.699Z" }, + { url = "https://files.pythonhosted.org/packages/a9/02/ccbcf3e1c604c16cc525309161d57412c23cf2351523aedbb280eb7c9094/propcache-0.3.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ec314cde7314d2dd0510c6787326bbffcbdc317ecee6b7401ce218b3099075a7", size = 241022, upload-time = "2025-03-26T03:04:49.195Z" }, + { url = "https://files.pythonhosted.org/packages/db/19/e777227545e09ca1e77a6e21274ae9ec45de0f589f0ce3eca2a41f366220/propcache-0.3.1-cp312-cp312-win32.whl", hash = "sha256:7d2d5a0028d920738372630870e7d9644ce437142197f8c827194fca404bf03b", size = 40647, upload-time = "2025-03-26T03:04:50.595Z" }, + { url = "https://files.pythonhosted.org/packages/24/bb/3b1b01da5dd04c77a204c84e538ff11f624e31431cfde7201d9110b092b1/propcache-0.3.1-cp312-cp312-win_amd64.whl", hash = "sha256:88c423efef9d7a59dae0614eaed718449c09a5ac79a5f224a8b9664d603f04a3", size = 44784, upload-time = "2025-03-26T03:04:51.791Z" }, + { url = "https://files.pythonhosted.org/packages/58/60/f645cc8b570f99be3cf46714170c2de4b4c9d6b827b912811eff1eb8a412/propcache-0.3.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:f1528ec4374617a7a753f90f20e2f551121bb558fcb35926f99e3c42367164b8", size = 77865, upload-time = "2025-03-26T03:04:53.406Z" }, + { url = "https://files.pythonhosted.org/packages/6f/d4/c1adbf3901537582e65cf90fd9c26fde1298fde5a2c593f987112c0d0798/propcache-0.3.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:dc1915ec523b3b494933b5424980831b636fe483d7d543f7afb7b3bf00f0c10f", size = 45452, upload-time = "2025-03-26T03:04:54.624Z" }, + { url = "https://files.pythonhosted.org/packages/d1/b5/fe752b2e63f49f727c6c1c224175d21b7d1727ce1d4873ef1c24c9216830/propcache-0.3.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a110205022d077da24e60b3df8bcee73971be9575dec5573dd17ae5d81751111", size = 44800, upload-time = "2025-03-26T03:04:55.844Z" }, + { url = "https://files.pythonhosted.org/packages/62/37/fc357e345bc1971e21f76597028b059c3d795c5ca7690d7a8d9a03c9708a/propcache-0.3.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d249609e547c04d190e820d0d4c8ca03ed4582bcf8e4e160a6969ddfb57b62e5", size = 225804, upload-time = "2025-03-26T03:04:57.158Z" }, + { url = "https://files.pythonhosted.org/packages/0d/f1/16e12c33e3dbe7f8b737809bad05719cff1dccb8df4dafbcff5575002c0e/propcache-0.3.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5ced33d827625d0a589e831126ccb4f5c29dfdf6766cac441d23995a65825dcb", size = 230650, upload-time = "2025-03-26T03:04:58.61Z" }, + { url = "https://files.pythonhosted.org/packages/3e/a2/018b9f2ed876bf5091e60153f727e8f9073d97573f790ff7cdf6bc1d1fb8/propcache-0.3.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4114c4ada8f3181af20808bedb250da6bae56660e4b8dfd9cd95d4549c0962f7", size = 234235, upload-time = "2025-03-26T03:05:00.599Z" }, + { url = "https://files.pythonhosted.org/packages/45/5f/3faee66fc930dfb5da509e34c6ac7128870631c0e3582987fad161fcb4b1/propcache-0.3.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:975af16f406ce48f1333ec5e912fe11064605d5c5b3f6746969077cc3adeb120", size = 228249, upload-time = "2025-03-26T03:05:02.11Z" }, + { url = "https://files.pythonhosted.org/packages/62/1e/a0d5ebda5da7ff34d2f5259a3e171a94be83c41eb1e7cd21a2105a84a02e/propcache-0.3.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a34aa3a1abc50740be6ac0ab9d594e274f59960d3ad253cd318af76b996dd654", size = 214964, upload-time = "2025-03-26T03:05:03.599Z" }, + { url = "https://files.pythonhosted.org/packages/db/a0/d72da3f61ceab126e9be1f3bc7844b4e98c6e61c985097474668e7e52152/propcache-0.3.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:9cec3239c85ed15bfaded997773fdad9fb5662b0a7cbc854a43f291eb183179e", size = 222501, upload-time = "2025-03-26T03:05:05.107Z" }, + { url = "https://files.pythonhosted.org/packages/18/6d/a008e07ad7b905011253adbbd97e5b5375c33f0b961355ca0a30377504ac/propcache-0.3.1-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:05543250deac8e61084234d5fc54f8ebd254e8f2b39a16b1dce48904f45b744b", size = 217917, upload-time = "2025-03-26T03:05:06.59Z" }, + { url = "https://files.pythonhosted.org/packages/98/37/02c9343ffe59e590e0e56dc5c97d0da2b8b19fa747ebacf158310f97a79a/propcache-0.3.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:5cb5918253912e088edbf023788de539219718d3b10aef334476b62d2b53de53", size = 217089, upload-time = "2025-03-26T03:05:08.1Z" }, + { url = "https://files.pythonhosted.org/packages/53/1b/d3406629a2c8a5666d4674c50f757a77be119b113eedd47b0375afdf1b42/propcache-0.3.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:f3bbecd2f34d0e6d3c543fdb3b15d6b60dd69970c2b4c822379e5ec8f6f621d5", size = 228102, upload-time = "2025-03-26T03:05:09.982Z" }, + { url = "https://files.pythonhosted.org/packages/cd/a7/3664756cf50ce739e5f3abd48febc0be1a713b1f389a502ca819791a6b69/propcache-0.3.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:aca63103895c7d960a5b9b044a83f544b233c95e0dcff114389d64d762017af7", size = 230122, upload-time = "2025-03-26T03:05:11.408Z" }, + { url = "https://files.pythonhosted.org/packages/35/36/0bbabaacdcc26dac4f8139625e930f4311864251276033a52fd52ff2a274/propcache-0.3.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5a0a9898fdb99bf11786265468571e628ba60af80dc3f6eb89a3545540c6b0ef", size = 226818, upload-time = "2025-03-26T03:05:12.909Z" }, + { url = "https://files.pythonhosted.org/packages/cc/27/4e0ef21084b53bd35d4dae1634b6d0bad35e9c58ed4f032511acca9d4d26/propcache-0.3.1-cp313-cp313-win32.whl", hash = "sha256:3a02a28095b5e63128bcae98eb59025924f121f048a62393db682f049bf4ac24", size = 40112, upload-time = "2025-03-26T03:05:14.289Z" }, + { url = "https://files.pythonhosted.org/packages/a6/2c/a54614d61895ba6dd7ac8f107e2b2a0347259ab29cbf2ecc7b94fa38c4dc/propcache-0.3.1-cp313-cp313-win_amd64.whl", hash = "sha256:813fbb8b6aea2fc9659815e585e548fe706d6f663fa73dff59a1677d4595a037", size = 44034, upload-time = "2025-03-26T03:05:15.616Z" }, + { url = "https://files.pythonhosted.org/packages/5a/a8/0a4fd2f664fc6acc66438370905124ce62e84e2e860f2557015ee4a61c7e/propcache-0.3.1-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:a444192f20f5ce8a5e52761a031b90f5ea6288b1eef42ad4c7e64fef33540b8f", size = 82613, upload-time = "2025-03-26T03:05:16.913Z" }, + { url = "https://files.pythonhosted.org/packages/4d/e5/5ef30eb2cd81576256d7b6caaa0ce33cd1d2c2c92c8903cccb1af1a4ff2f/propcache-0.3.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0fbe94666e62ebe36cd652f5fc012abfbc2342de99b523f8267a678e4dfdee3c", size = 47763, upload-time = "2025-03-26T03:05:18.607Z" }, + { url = "https://files.pythonhosted.org/packages/87/9a/87091ceb048efeba4d28e903c0b15bcc84b7c0bf27dc0261e62335d9b7b8/propcache-0.3.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:f011f104db880f4e2166bcdcf7f58250f7a465bc6b068dc84c824a3d4a5c94dc", size = 47175, upload-time = "2025-03-26T03:05:19.85Z" }, + { url = "https://files.pythonhosted.org/packages/3e/2f/854e653c96ad1161f96194c6678a41bbb38c7947d17768e8811a77635a08/propcache-0.3.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e584b6d388aeb0001d6d5c2bd86b26304adde6d9bb9bfa9c4889805021b96de", size = 292265, upload-time = "2025-03-26T03:05:21.654Z" }, + { url = "https://files.pythonhosted.org/packages/40/8d/090955e13ed06bc3496ba4a9fb26c62e209ac41973cb0d6222de20c6868f/propcache-0.3.1-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8a17583515a04358b034e241f952f1715243482fc2c2945fd99a1b03a0bd77d6", size = 294412, upload-time = "2025-03-26T03:05:23.147Z" }, + { url = "https://files.pythonhosted.org/packages/39/e6/d51601342e53cc7582449e6a3c14a0479fab2f0750c1f4d22302e34219c6/propcache-0.3.1-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5aed8d8308215089c0734a2af4f2e95eeb360660184ad3912686c181e500b2e7", size = 294290, upload-time = "2025-03-26T03:05:24.577Z" }, + { url = "https://files.pythonhosted.org/packages/3b/4d/be5f1a90abc1881884aa5878989a1acdafd379a91d9c7e5e12cef37ec0d7/propcache-0.3.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d8e309ff9a0503ef70dc9a0ebd3e69cf7b3894c9ae2ae81fc10943c37762458", size = 282926, upload-time = "2025-03-26T03:05:26.459Z" }, + { url = "https://files.pythonhosted.org/packages/57/2b/8f61b998c7ea93a2b7eca79e53f3e903db1787fca9373af9e2cf8dc22f9d/propcache-0.3.1-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b655032b202028a582d27aeedc2e813299f82cb232f969f87a4fde491a233f11", size = 267808, upload-time = "2025-03-26T03:05:28.188Z" }, + { url = "https://files.pythonhosted.org/packages/11/1c/311326c3dfce59c58a6098388ba984b0e5fb0381ef2279ec458ef99bd547/propcache-0.3.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9f64d91b751df77931336b5ff7bafbe8845c5770b06630e27acd5dbb71e1931c", size = 290916, upload-time = "2025-03-26T03:05:29.757Z" }, + { url = "https://files.pythonhosted.org/packages/4b/74/91939924b0385e54dc48eb2e4edd1e4903ffd053cf1916ebc5347ac227f7/propcache-0.3.1-cp313-cp313t-musllinux_1_2_armv7l.whl", hash = "sha256:19a06db789a4bd896ee91ebc50d059e23b3639c25d58eb35be3ca1cbe967c3bf", size = 262661, upload-time = "2025-03-26T03:05:31.472Z" }, + { url = "https://files.pythonhosted.org/packages/c2/d7/e6079af45136ad325c5337f5dd9ef97ab5dc349e0ff362fe5c5db95e2454/propcache-0.3.1-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:bef100c88d8692864651b5f98e871fb090bd65c8a41a1cb0ff2322db39c96c27", size = 264384, upload-time = "2025-03-26T03:05:32.984Z" }, + { url = "https://files.pythonhosted.org/packages/b7/d5/ba91702207ac61ae6f1c2da81c5d0d6bf6ce89e08a2b4d44e411c0bbe867/propcache-0.3.1-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:87380fb1f3089d2a0b8b00f006ed12bd41bd858fabfa7330c954c70f50ed8757", size = 291420, upload-time = "2025-03-26T03:05:34.496Z" }, + { url = "https://files.pythonhosted.org/packages/58/70/2117780ed7edcd7ba6b8134cb7802aada90b894a9810ec56b7bb6018bee7/propcache-0.3.1-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:e474fc718e73ba5ec5180358aa07f6aded0ff5f2abe700e3115c37d75c947e18", size = 290880, upload-time = "2025-03-26T03:05:36.256Z" }, + { url = "https://files.pythonhosted.org/packages/4a/1f/ecd9ce27710021ae623631c0146719280a929d895a095f6d85efb6a0be2e/propcache-0.3.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:17d1c688a443355234f3c031349da69444be052613483f3e4158eef751abcd8a", size = 287407, upload-time = "2025-03-26T03:05:37.799Z" }, + { url = "https://files.pythonhosted.org/packages/3e/66/2e90547d6b60180fb29e23dc87bd8c116517d4255240ec6d3f7dc23d1926/propcache-0.3.1-cp313-cp313t-win32.whl", hash = "sha256:359e81a949a7619802eb601d66d37072b79b79c2505e6d3fd8b945538411400d", size = 42573, upload-time = "2025-03-26T03:05:39.193Z" }, + { url = "https://files.pythonhosted.org/packages/cb/8f/50ad8599399d1861b4d2b6b45271f0ef6af1b09b0a2386a46dbaf19c9535/propcache-0.3.1-cp313-cp313t-win_amd64.whl", hash = "sha256:e7fb9a84c9abbf2b2683fa3e7b0d7da4d8ecf139a1c635732a8bda29c5214b0e", size = 46757, upload-time = "2025-03-26T03:05:40.811Z" }, + { url = "https://files.pythonhosted.org/packages/b8/d3/c3cb8f1d6ae3b37f83e1de806713a9b3642c5895f0215a62e1a4bd6e5e34/propcache-0.3.1-py3-none-any.whl", hash = "sha256:9a8ecf38de50a7f518c21568c80f985e776397b902f1ce0b01f799aba1608b40", size = 12376, upload-time = "2025-03-26T03:06:10.5Z" }, +] + +[[package]] +name = "protobuf" +version = "6.31.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/13/48/718c1e104a2e89970a8ff3b06d87e152834b576c570a6908f8c17ba88d65/protobuf-6.31.0.tar.gz", hash = "sha256:314fab1a6a316469dc2dd46f993cbbe95c861ea6807da910becfe7475bc26ffe", size = 441644, upload-time = "2025-05-14T17:58:27.862Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b6/77/8671682038b08237c927215fa3296bc1c54e4086fe542c87017c1b626663/protobuf-6.31.0-cp310-abi3-win32.whl", hash = "sha256:10bd62802dfa0588649740a59354090eaf54b8322f772fbdcca19bc78d27f0d6", size = 423437, upload-time = "2025-05-14T17:58:16.116Z" }, + { url = "https://files.pythonhosted.org/packages/e4/07/cc9b0cbf7593f6ef8cf87fa9b0e55cd74c5cb526dd89ad84aa7d6547ef8d/protobuf-6.31.0-cp310-abi3-win_amd64.whl", hash = "sha256:3e987c99fd634be8347246a02123250f394ba20573c953de133dc8b2c107dd71", size = 435118, upload-time = "2025-05-14T17:58:18.591Z" }, + { url = "https://files.pythonhosted.org/packages/21/46/33f884aa8bc59114dc97e0d954ca4618c556483670236008c88fbb7e834f/protobuf-6.31.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:2c812f0f96ceb6b514448cefeb1df54ec06dde456783f5099c0e2f8a0f2caa89", size = 425439, upload-time = "2025-05-14T17:58:19.709Z" }, + { url = "https://files.pythonhosted.org/packages/9b/f2/9a676b50229ce37b12777d7b21de90ae7bc0f9505d07e72e2e8d47b8d165/protobuf-6.31.0-cp39-abi3-manylinux2014_aarch64.whl", hash = "sha256:67ce50195e4e584275623b8e6bc6d3d3dfd93924bf6116b86b3b8975ab9e4571", size = 321950, upload-time = "2025-05-14T17:58:22.04Z" }, + { url = "https://files.pythonhosted.org/packages/a1/a7/243fa2d3c1b7675d54744b32dacf30356f4c27c0d3ad940ca8745a1c6b2c/protobuf-6.31.0-cp39-abi3-manylinux2014_x86_64.whl", hash = "sha256:5353e38844168a327acd2b2aa440044411cd8d1b6774d5701008bd1dba067c79", size = 320904, upload-time = "2025-05-14T17:58:23.438Z" }, + { url = "https://files.pythonhosted.org/packages/ee/01/1ed1d482960a5718fd99c82f6d79120181947cfd4667ec3944d448ed44a3/protobuf-6.31.0-py3-none-any.whl", hash = "sha256:6ac2e82556e822c17a8d23aa1190bbc1d06efb9c261981da95c71c9da09e9e23", size = 168558, upload-time = "2025-05-14T17:58:26.923Z" }, +] + +[[package]] +name = "psutil" +version = "7.0.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/2a/80/336820c1ad9286a4ded7e845b2eccfcb27851ab8ac6abece774a6ff4d3de/psutil-7.0.0.tar.gz", hash = "sha256:7be9c3eba38beccb6495ea33afd982a44074b78f28c434a1f51cc07fd315c456", size = 497003, upload-time = "2025-02-13T21:54:07.946Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ed/e6/2d26234410f8b8abdbf891c9da62bee396583f713fb9f3325a4760875d22/psutil-7.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:101d71dc322e3cffd7cea0650b09b3d08b8e7c4109dd6809fe452dfd00e58b25", size = 238051, upload-time = "2025-02-13T21:54:12.36Z" }, + { url = "https://files.pythonhosted.org/packages/04/8b/30f930733afe425e3cbfc0e1468a30a18942350c1a8816acfade80c005c4/psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:39db632f6bb862eeccf56660871433e111b6ea58f2caea825571951d4b6aa3da", size = 239535, upload-time = "2025-02-13T21:54:16.07Z" }, + { url = "https://files.pythonhosted.org/packages/2a/ed/d362e84620dd22876b55389248e522338ed1bf134a5edd3b8231d7207f6d/psutil-7.0.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fcee592b4c6f146991ca55919ea3d1f8926497a713ed7faaf8225e174581e91", size = 275004, upload-time = "2025-02-13T21:54:18.662Z" }, + { url = "https://files.pythonhosted.org/packages/bf/b9/b0eb3f3cbcb734d930fdf839431606844a825b23eaf9a6ab371edac8162c/psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b1388a4f6875d7e2aff5c4ca1cc16c545ed41dd8bb596cefea80111db353a34", size = 277986, upload-time = "2025-02-13T21:54:21.811Z" }, + { url = "https://files.pythonhosted.org/packages/eb/a2/709e0fe2f093556c17fbafda93ac032257242cabcc7ff3369e2cb76a97aa/psutil-7.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5f098451abc2828f7dc6b58d44b532b22f2088f4999a937557b603ce72b1993", size = 279544, upload-time = "2025-02-13T21:54:24.68Z" }, + { url = "https://files.pythonhosted.org/packages/50/e6/eecf58810b9d12e6427369784efe814a1eec0f492084ce8eb8f4d89d6d61/psutil-7.0.0-cp37-abi3-win32.whl", hash = "sha256:ba3fcef7523064a6c9da440fc4d6bd07da93ac726b5733c29027d7dc95b39d99", size = 241053, upload-time = "2025-02-13T21:54:34.31Z" }, + { url = "https://files.pythonhosted.org/packages/50/1b/6921afe68c74868b4c9fa424dad3be35b095e16687989ebbb50ce4fceb7c/psutil-7.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:4cf3d4eb1aa9b348dec30105c55cd9b7d4629285735a102beb4441e38db90553", size = 244885, upload-time = "2025-02-13T21:54:37.486Z" }, +] + +[[package]] +name = "ptyprocess" +version = "0.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/20/e5/16ff212c1e452235a90aeb09066144d0c5a6a8c0834397e03f5224495c4e/ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220", size = 70762, upload-time = "2020-12-28T15:15:30.155Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/22/a6/858897256d0deac81a172289110f31629fc4cee19b6f01283303e18c8db3/ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35", size = 13993, upload-time = "2020-12-28T15:15:28.35Z" }, +] + +[[package]] +name = "pure-eval" +version = "0.2.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/cd/05/0a34433a064256a578f1783a10da6df098ceaa4a57bbeaa96a6c0352786b/pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42", size = 19752, upload-time = "2024-07-21T12:58:21.801Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8e/37/efad0257dc6e593a18957422533ff0f87ede7c9c6ea010a2177d738fb82f/pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0", size = 11842, upload-time = "2024-07-21T12:58:20.04Z" }, +] + +[[package]] +name = "py-cpuinfo" +version = "9.0.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/37/a8/d832f7293ebb21690860d2e01d8115e5ff6f2ae8bbdc953f0eb0fa4bd2c7/py-cpuinfo-9.0.0.tar.gz", hash = "sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690", size = 104716, upload-time = "2022-10-25T20:38:06.303Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e0/a9/023730ba63db1e494a271cb018dcd361bd2c917ba7004c3e49d5daf795a2/py_cpuinfo-9.0.0-py3-none-any.whl", hash = "sha256:859625bc251f64e21f077d099d4162689c762b5d6a4c3c97553d56241c9674d5", size = 22335, upload-time = "2022-10-25T20:38:27.636Z" }, +] + +[[package]] +name = "pyarrow" +version = "20.0.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/a2/ee/a7810cb9f3d6e9238e61d312076a9859bf3668fd21c69744de9532383912/pyarrow-20.0.0.tar.gz", hash = "sha256:febc4a913592573c8d5805091a6c2b5064c8bd6e002131f01061797d91c783c1", size = 1125187, upload-time = "2025-04-27T12:34:23.264Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5b/23/77094eb8ee0dbe88441689cb6afc40ac312a1e15d3a7acc0586999518222/pyarrow-20.0.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:c7dd06fd7d7b410ca5dc839cc9d485d2bc4ae5240851bcd45d85105cc90a47d7", size = 30832591, upload-time = "2025-04-27T12:27:27.89Z" }, + { url = "https://files.pythonhosted.org/packages/c3/d5/48cc573aff00d62913701d9fac478518f693b30c25f2c157550b0b2565cb/pyarrow-20.0.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:d5382de8dc34c943249b01c19110783d0d64b207167c728461add1ecc2db88e4", size = 32273686, upload-time = "2025-04-27T12:27:36.816Z" }, + { url = "https://files.pythonhosted.org/packages/37/df/4099b69a432b5cb412dd18adc2629975544d656df3d7fda6d73c5dba935d/pyarrow-20.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6415a0d0174487456ddc9beaead703d0ded5966129fa4fd3114d76b5d1c5ceae", size = 41337051, upload-time = "2025-04-27T12:27:44.4Z" }, + { url = "https://files.pythonhosted.org/packages/4c/27/99922a9ac1c9226f346e3a1e15e63dee6f623ed757ff2893f9d6994a69d3/pyarrow-20.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15aa1b3b2587e74328a730457068dc6c89e6dcbf438d4369f572af9d320a25ee", size = 42404659, upload-time = "2025-04-27T12:27:51.715Z" }, + { url = "https://files.pythonhosted.org/packages/21/d1/71d91b2791b829c9e98f1e0d85be66ed93aff399f80abb99678511847eaa/pyarrow-20.0.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:5605919fbe67a7948c1f03b9f3727d82846c053cd2ce9303ace791855923fd20", size = 40695446, upload-time = "2025-04-27T12:27:59.643Z" }, + { url = "https://files.pythonhosted.org/packages/f1/ca/ae10fba419a6e94329707487835ec721f5a95f3ac9168500bcf7aa3813c7/pyarrow-20.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a5704f29a74b81673d266e5ec1fe376f060627c2e42c5c7651288ed4b0db29e9", size = 42278528, upload-time = "2025-04-27T12:28:07.297Z" }, + { url = "https://files.pythonhosted.org/packages/7a/a6/aba40a2bf01b5d00cf9cd16d427a5da1fad0fb69b514ce8c8292ab80e968/pyarrow-20.0.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:00138f79ee1b5aca81e2bdedb91e3739b987245e11fa3c826f9e57c5d102fb75", size = 42918162, upload-time = "2025-04-27T12:28:15.716Z" }, + { url = "https://files.pythonhosted.org/packages/93/6b/98b39650cd64f32bf2ec6d627a9bd24fcb3e4e6ea1873c5e1ea8a83b1a18/pyarrow-20.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f2d67ac28f57a362f1a2c1e6fa98bfe2f03230f7e15927aecd067433b1e70ce8", size = 44550319, upload-time = "2025-04-27T12:28:27.026Z" }, + { url = "https://files.pythonhosted.org/packages/ab/32/340238be1eb5037e7b5de7e640ee22334417239bc347eadefaf8c373936d/pyarrow-20.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:4a8b029a07956b8d7bd742ffca25374dd3f634b35e46cc7a7c3fa4c75b297191", size = 25770759, upload-time = "2025-04-27T12:28:33.702Z" }, + { url = "https://files.pythonhosted.org/packages/47/a2/b7930824181ceadd0c63c1042d01fa4ef63eee233934826a7a2a9af6e463/pyarrow-20.0.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:24ca380585444cb2a31324c546a9a56abbe87e26069189e14bdba19c86c049f0", size = 30856035, upload-time = "2025-04-27T12:28:40.78Z" }, + { url = "https://files.pythonhosted.org/packages/9b/18/c765770227d7f5bdfa8a69f64b49194352325c66a5c3bb5e332dfd5867d9/pyarrow-20.0.0-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:95b330059ddfdc591a3225f2d272123be26c8fa76e8c9ee1a77aad507361cfdb", size = 32309552, upload-time = "2025-04-27T12:28:47.051Z" }, + { url = "https://files.pythonhosted.org/packages/44/fb/dfb2dfdd3e488bb14f822d7335653092dde150cffc2da97de6e7500681f9/pyarrow-20.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5f0fb1041267e9968c6d0d2ce3ff92e3928b243e2b6d11eeb84d9ac547308232", size = 41334704, upload-time = "2025-04-27T12:28:55.064Z" }, + { url = "https://files.pythonhosted.org/packages/58/0d/08a95878d38808051a953e887332d4a76bc06c6ee04351918ee1155407eb/pyarrow-20.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8ff87cc837601532cc8242d2f7e09b4e02404de1b797aee747dd4ba4bd6313f", size = 42399836, upload-time = "2025-04-27T12:29:02.13Z" }, + { url = "https://files.pythonhosted.org/packages/f3/cd/efa271234dfe38f0271561086eedcad7bc0f2ddd1efba423916ff0883684/pyarrow-20.0.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:7a3a5dcf54286e6141d5114522cf31dd67a9e7c9133d150799f30ee302a7a1ab", size = 40711789, upload-time = "2025-04-27T12:29:09.951Z" }, + { url = "https://files.pythonhosted.org/packages/46/1f/7f02009bc7fc8955c391defee5348f510e589a020e4b40ca05edcb847854/pyarrow-20.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:a6ad3e7758ecf559900261a4df985662df54fb7fdb55e8e3b3aa99b23d526b62", size = 42301124, upload-time = "2025-04-27T12:29:17.187Z" }, + { url = "https://files.pythonhosted.org/packages/4f/92/692c562be4504c262089e86757a9048739fe1acb4024f92d39615e7bab3f/pyarrow-20.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6bb830757103a6cb300a04610e08d9636f0cd223d32f388418ea893a3e655f1c", size = 42916060, upload-time = "2025-04-27T12:29:24.253Z" }, + { url = "https://files.pythonhosted.org/packages/a4/ec/9f5c7e7c828d8e0a3c7ef50ee62eca38a7de2fa6eb1b8fa43685c9414fef/pyarrow-20.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:96e37f0766ecb4514a899d9a3554fadda770fb57ddf42b63d80f14bc20aa7db3", size = 44547640, upload-time = "2025-04-27T12:29:32.782Z" }, + { url = "https://files.pythonhosted.org/packages/54/96/46613131b4727f10fd2ffa6d0d6f02efcc09a0e7374eff3b5771548aa95b/pyarrow-20.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:3346babb516f4b6fd790da99b98bed9708e3f02e734c84971faccb20736848dc", size = 25781491, upload-time = "2025-04-27T12:29:38.464Z" }, + { url = "https://files.pythonhosted.org/packages/a1/d6/0c10e0d54f6c13eb464ee9b67a68b8c71bcf2f67760ef5b6fbcddd2ab05f/pyarrow-20.0.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:75a51a5b0eef32727a247707d4755322cb970be7e935172b6a3a9f9ae98404ba", size = 30815067, upload-time = "2025-04-27T12:29:44.384Z" }, + { url = "https://files.pythonhosted.org/packages/7e/e2/04e9874abe4094a06fd8b0cbb0f1312d8dd7d707f144c2ec1e5e8f452ffa/pyarrow-20.0.0-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:211d5e84cecc640c7a3ab900f930aaff5cd2702177e0d562d426fb7c4f737781", size = 32297128, upload-time = "2025-04-27T12:29:52.038Z" }, + { url = "https://files.pythonhosted.org/packages/31/fd/c565e5dcc906a3b471a83273039cb75cb79aad4a2d4a12f76cc5ae90a4b8/pyarrow-20.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ba3cf4182828be7a896cbd232aa8dd6a31bd1f9e32776cc3796c012855e1199", size = 41334890, upload-time = "2025-04-27T12:29:59.452Z" }, + { url = "https://files.pythonhosted.org/packages/af/a9/3bdd799e2c9b20c1ea6dc6fa8e83f29480a97711cf806e823f808c2316ac/pyarrow-20.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c3a01f313ffe27ac4126f4c2e5ea0f36a5fc6ab51f8726cf41fee4b256680bd", size = 42421775, upload-time = "2025-04-27T12:30:06.875Z" }, + { url = "https://files.pythonhosted.org/packages/10/f7/da98ccd86354c332f593218101ae56568d5dcedb460e342000bd89c49cc1/pyarrow-20.0.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:a2791f69ad72addd33510fec7bb14ee06c2a448e06b649e264c094c5b5f7ce28", size = 40687231, upload-time = "2025-04-27T12:30:13.954Z" }, + { url = "https://files.pythonhosted.org/packages/bb/1b/2168d6050e52ff1e6cefc61d600723870bf569cbf41d13db939c8cf97a16/pyarrow-20.0.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:4250e28a22302ce8692d3a0e8ec9d9dde54ec00d237cff4dfa9c1fbf79e472a8", size = 42295639, upload-time = "2025-04-27T12:30:21.949Z" }, + { url = "https://files.pythonhosted.org/packages/b2/66/2d976c0c7158fd25591c8ca55aee026e6d5745a021915a1835578707feb3/pyarrow-20.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:89e030dc58fc760e4010148e6ff164d2f44441490280ef1e97a542375e41058e", size = 42908549, upload-time = "2025-04-27T12:30:29.551Z" }, + { url = "https://files.pythonhosted.org/packages/31/a9/dfb999c2fc6911201dcbf348247f9cc382a8990f9ab45c12eabfd7243a38/pyarrow-20.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:6102b4864d77102dbbb72965618e204e550135a940c2534711d5ffa787df2a5a", size = 44557216, upload-time = "2025-04-27T12:30:36.977Z" }, + { url = "https://files.pythonhosted.org/packages/a0/8e/9adee63dfa3911be2382fb4d92e4b2e7d82610f9d9f668493bebaa2af50f/pyarrow-20.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:96d6a0a37d9c98be08f5ed6a10831d88d52cac7b13f5287f1e0f625a0de8062b", size = 25660496, upload-time = "2025-04-27T12:30:42.809Z" }, + { url = "https://files.pythonhosted.org/packages/9b/aa/daa413b81446d20d4dad2944110dcf4cf4f4179ef7f685dd5a6d7570dc8e/pyarrow-20.0.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:a15532e77b94c61efadde86d10957950392999503b3616b2ffcef7621a002893", size = 30798501, upload-time = "2025-04-27T12:30:48.351Z" }, + { url = "https://files.pythonhosted.org/packages/ff/75/2303d1caa410925de902d32ac215dc80a7ce7dd8dfe95358c165f2adf107/pyarrow-20.0.0-cp313-cp313-macosx_12_0_x86_64.whl", hash = "sha256:dd43f58037443af715f34f1322c782ec463a3c8a94a85fdb2d987ceb5658e061", size = 32277895, upload-time = "2025-04-27T12:30:55.238Z" }, + { url = "https://files.pythonhosted.org/packages/92/41/fe18c7c0b38b20811b73d1bdd54b1fccba0dab0e51d2048878042d84afa8/pyarrow-20.0.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aa0d288143a8585806e3cc7c39566407aab646fb9ece164609dac1cfff45f6ae", size = 41327322, upload-time = "2025-04-27T12:31:05.587Z" }, + { url = "https://files.pythonhosted.org/packages/da/ab/7dbf3d11db67c72dbf36ae63dcbc9f30b866c153b3a22ef728523943eee6/pyarrow-20.0.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b6953f0114f8d6f3d905d98e987d0924dabce59c3cda380bdfaa25a6201563b4", size = 42411441, upload-time = "2025-04-27T12:31:15.675Z" }, + { url = "https://files.pythonhosted.org/packages/90/c3/0c7da7b6dac863af75b64e2f827e4742161128c350bfe7955b426484e226/pyarrow-20.0.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:991f85b48a8a5e839b2128590ce07611fae48a904cae6cab1f089c5955b57eb5", size = 40677027, upload-time = "2025-04-27T12:31:24.631Z" }, + { url = "https://files.pythonhosted.org/packages/be/27/43a47fa0ff9053ab5203bb3faeec435d43c0d8bfa40179bfd076cdbd4e1c/pyarrow-20.0.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:97c8dc984ed09cb07d618d57d8d4b67a5100a30c3818c2fb0b04599f0da2de7b", size = 42281473, upload-time = "2025-04-27T12:31:31.311Z" }, + { url = "https://files.pythonhosted.org/packages/bc/0b/d56c63b078876da81bbb9ba695a596eabee9b085555ed12bf6eb3b7cab0e/pyarrow-20.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:9b71daf534f4745818f96c214dbc1e6124d7daf059167330b610fc69b6f3d3e3", size = 42893897, upload-time = "2025-04-27T12:31:39.406Z" }, + { url = "https://files.pythonhosted.org/packages/92/ac/7d4bd020ba9145f354012838692d48300c1b8fe5634bfda886abcada67ed/pyarrow-20.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e8b88758f9303fa5a83d6c90e176714b2fd3852e776fc2d7e42a22dd6c2fb368", size = 44543847, upload-time = "2025-04-27T12:31:45.997Z" }, + { url = "https://files.pythonhosted.org/packages/9d/07/290f4abf9ca702c5df7b47739c1b2c83588641ddfa2cc75e34a301d42e55/pyarrow-20.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:30b3051b7975801c1e1d387e17c588d8ab05ced9b1e14eec57915f79869b5031", size = 25653219, upload-time = "2025-04-27T12:31:54.11Z" }, + { url = "https://files.pythonhosted.org/packages/95/df/720bb17704b10bd69dde086e1400b8eefb8f58df3f8ac9cff6c425bf57f1/pyarrow-20.0.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:ca151afa4f9b7bc45bcc791eb9a89e90a9eb2772767d0b1e5389609c7d03db63", size = 30853957, upload-time = "2025-04-27T12:31:59.215Z" }, + { url = "https://files.pythonhosted.org/packages/d9/72/0d5f875efc31baef742ba55a00a25213a19ea64d7176e0fe001c5d8b6e9a/pyarrow-20.0.0-cp313-cp313t-macosx_12_0_x86_64.whl", hash = "sha256:4680f01ecd86e0dd63e39eb5cd59ef9ff24a9d166db328679e36c108dc993d4c", size = 32247972, upload-time = "2025-04-27T12:32:05.369Z" }, + { url = "https://files.pythonhosted.org/packages/d5/bc/e48b4fa544d2eea72f7844180eb77f83f2030b84c8dad860f199f94307ed/pyarrow-20.0.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7f4c8534e2ff059765647aa69b75d6543f9fef59e2cd4c6d18015192565d2b70", size = 41256434, upload-time = "2025-04-27T12:32:11.814Z" }, + { url = "https://files.pythonhosted.org/packages/c3/01/974043a29874aa2cf4f87fb07fd108828fc7362300265a2a64a94965e35b/pyarrow-20.0.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3e1f8a47f4b4ae4c69c4d702cfbdfe4d41e18e5c7ef6f1bb1c50918c1e81c57b", size = 42353648, upload-time = "2025-04-27T12:32:20.766Z" }, + { url = "https://files.pythonhosted.org/packages/68/95/cc0d3634cde9ca69b0e51cbe830d8915ea32dda2157560dda27ff3b3337b/pyarrow-20.0.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:a1f60dc14658efaa927f8214734f6a01a806d7690be4b3232ba526836d216122", size = 40619853, upload-time = "2025-04-27T12:32:28.1Z" }, + { url = "https://files.pythonhosted.org/packages/29/c2/3ad40e07e96a3e74e7ed7cc8285aadfa84eb848a798c98ec0ad009eb6bcc/pyarrow-20.0.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:204a846dca751428991346976b914d6d2a82ae5b8316a6ed99789ebf976551e6", size = 42241743, upload-time = "2025-04-27T12:32:35.792Z" }, + { url = "https://files.pythonhosted.org/packages/eb/cb/65fa110b483339add6a9bc7b6373614166b14e20375d4daa73483755f830/pyarrow-20.0.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:f3b117b922af5e4c6b9a9115825726cac7d8b1421c37c2b5e24fbacc8930612c", size = 42839441, upload-time = "2025-04-27T12:32:46.64Z" }, + { url = "https://files.pythonhosted.org/packages/98/7b/f30b1954589243207d7a0fbc9997401044bf9a033eec78f6cb50da3f304a/pyarrow-20.0.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e724a3fd23ae5b9c010e7be857f4405ed5e679db5c93e66204db1a69f733936a", size = 44503279, upload-time = "2025-04-27T12:32:56.503Z" }, + { url = "https://files.pythonhosted.org/packages/37/40/ad395740cd641869a13bcf60851296c89624662575621968dcfafabaa7f6/pyarrow-20.0.0-cp313-cp313t-win_amd64.whl", hash = "sha256:82f1ee5133bd8f49d31be1299dc07f585136679666b502540db854968576faf9", size = 25944982, upload-time = "2025-04-27T12:33:04.72Z" }, +] + +[[package]] +name = "pybind11" +version = "2.13.6" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/d2/c1/72b9622fcb32ff98b054f724e213c7f70d6898baa714f4516288456ceaba/pybind11-2.13.6.tar.gz", hash = "sha256:ba6af10348c12b24e92fa086b39cfba0eff619b61ac77c406167d813b096d39a", size = 218403, upload-time = "2024-09-14T00:35:22.606Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/13/2f/0f24b288e2ce56f51c920137620b4434a38fd80583dbbe24fc2a1656c388/pybind11-2.13.6-py3-none-any.whl", hash = "sha256:237c41e29157b962835d356b370ededd57594a26d5894a795960f0047cb5caf5", size = 243282, upload-time = "2024-09-14T00:35:20.361Z" }, +] + +[[package]] +name = "pycparser" +version = "2.22" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/1d/b2/31537cf4b1ca988837256c910a668b553fceb8f069bedc4b1c826024b52c/pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6", size = 172736, upload-time = "2024-03-30T13:22:22.564Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/13/a3/a812df4e2dd5696d1f351d58b8fe16a405b234ad2886a0dab9183fb78109/pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc", size = 117552, upload-time = "2024-03-30T13:22:20.476Z" }, +] + +[[package]] +name = "pydantic" +version = "2.11.5" +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/f0/86/8ce9040065e8f924d642c58e4a344e33163a07f6b57f836d0d734e0ad3fb/pydantic-2.11.5.tar.gz", hash = "sha256:7f853db3d0ce78ce8bbb148c401c2cdd6431b3473c0cdff2755c7690952a7b7a", size = 787102, upload-time = "2025-05-22T21:18:08.761Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b5/69/831ed22b38ff9b4b64b66569f0e5b7b97cf3638346eb95a2147fdb49ad5f/pydantic-2.11.5-py3-none-any.whl", hash = "sha256:f9c26ba06f9747749ca1e5c94d6a85cb84254577553c8785576fd38fa64dc0f7", size = 444229, upload-time = "2025-05-22T21:18:06.329Z" }, +] + +[[package]] +name = "pydantic-core" +version = "2.33.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ad/88/5f2260bdfae97aabf98f1778d43f69574390ad787afb646292a638c923d4/pydantic_core-2.33.2.tar.gz", hash = "sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc", size = 435195, upload-time = "2025-04-23T18:33:52.104Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e5/92/b31726561b5dae176c2d2c2dc43a9c5bfba5d32f96f8b4c0a600dd492447/pydantic_core-2.33.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8", size = 2028817, upload-time = "2025-04-23T18:30:43.919Z" }, + { url = "https://files.pythonhosted.org/packages/a3/44/3f0b95fafdaca04a483c4e685fe437c6891001bf3ce8b2fded82b9ea3aa1/pydantic_core-2.33.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d", size = 1861357, upload-time = "2025-04-23T18:30:46.372Z" }, + { url = "https://files.pythonhosted.org/packages/30/97/e8f13b55766234caae05372826e8e4b3b96e7b248be3157f53237682e43c/pydantic_core-2.33.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d", size = 1898011, upload-time = "2025-04-23T18:30:47.591Z" }, + { url = "https://files.pythonhosted.org/packages/9b/a3/99c48cf7bafc991cc3ee66fd544c0aae8dc907b752f1dad2d79b1b5a471f/pydantic_core-2.33.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572", size = 1982730, upload-time = "2025-04-23T18:30:49.328Z" }, + { url = "https://files.pythonhosted.org/packages/de/8e/a5b882ec4307010a840fb8b58bd9bf65d1840c92eae7534c7441709bf54b/pydantic_core-2.33.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02", size = 2136178, upload-time = "2025-04-23T18:30:50.907Z" }, + { url = "https://files.pythonhosted.org/packages/e4/bb/71e35fc3ed05af6834e890edb75968e2802fe98778971ab5cba20a162315/pydantic_core-2.33.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4b25d91e288e2c4e0662b8038a28c6a07eaac3e196cfc4ff69de4ea3db992a1b", size = 2736462, upload-time = "2025-04-23T18:30:52.083Z" }, + { url = "https://files.pythonhosted.org/packages/31/0d/c8f7593e6bc7066289bbc366f2235701dcbebcd1ff0ef8e64f6f239fb47d/pydantic_core-2.33.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6bdfe4b3789761f3bcb4b1ddf33355a71079858958e3a552f16d5af19768fef2", size = 2005652, upload-time = "2025-04-23T18:30:53.389Z" }, + { url = "https://files.pythonhosted.org/packages/d2/7a/996d8bd75f3eda405e3dd219ff5ff0a283cd8e34add39d8ef9157e722867/pydantic_core-2.33.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a", size = 2113306, upload-time = "2025-04-23T18:30:54.661Z" }, + { url = "https://files.pythonhosted.org/packages/ff/84/daf2a6fb2db40ffda6578a7e8c5a6e9c8affb251a05c233ae37098118788/pydantic_core-2.33.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac", size = 2073720, upload-time = "2025-04-23T18:30:56.11Z" }, + { url = "https://files.pythonhosted.org/packages/77/fb/2258da019f4825128445ae79456a5499c032b55849dbd5bed78c95ccf163/pydantic_core-2.33.2-cp310-cp310-musllinux_1_1_armv7l.whl", hash = "sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a", size = 2244915, upload-time = "2025-04-23T18:30:57.501Z" }, + { url = "https://files.pythonhosted.org/packages/d8/7a/925ff73756031289468326e355b6fa8316960d0d65f8b5d6b3a3e7866de7/pydantic_core-2.33.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:73662edf539e72a9440129f231ed3757faab89630d291b784ca99237fb94db2b", size = 2241884, upload-time = "2025-04-23T18:30:58.867Z" }, + { url = "https://files.pythonhosted.org/packages/0b/b0/249ee6d2646f1cdadcb813805fe76265745c4010cf20a8eba7b0e639d9b2/pydantic_core-2.33.2-cp310-cp310-win32.whl", hash = "sha256:0a39979dcbb70998b0e505fb1556a1d550a0781463ce84ebf915ba293ccb7e22", size = 1910496, upload-time = "2025-04-23T18:31:00.078Z" }, + { url = "https://files.pythonhosted.org/packages/66/ff/172ba8f12a42d4b552917aa65d1f2328990d3ccfc01d5b7c943ec084299f/pydantic_core-2.33.2-cp310-cp310-win_amd64.whl", hash = "sha256:b0379a2b24882fef529ec3b4987cb5d003b9cda32256024e6fe1586ac45fc640", size = 1955019, upload-time = "2025-04-23T18:31:01.335Z" }, + { url = "https://files.pythonhosted.org/packages/3f/8d/71db63483d518cbbf290261a1fc2839d17ff89fce7089e08cad07ccfce67/pydantic_core-2.33.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:4c5b0a576fb381edd6d27f0a85915c6daf2f8138dc5c267a57c08a62900758c7", size = 2028584, upload-time = "2025-04-23T18:31:03.106Z" }, + { url = "https://files.pythonhosted.org/packages/24/2f/3cfa7244ae292dd850989f328722d2aef313f74ffc471184dc509e1e4e5a/pydantic_core-2.33.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246", size = 1855071, upload-time = "2025-04-23T18:31:04.621Z" }, + { url = "https://files.pythonhosted.org/packages/b3/d3/4ae42d33f5e3f50dd467761304be2fa0a9417fbf09735bc2cce003480f2a/pydantic_core-2.33.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f", size = 1897823, upload-time = "2025-04-23T18:31:06.377Z" }, + { url = "https://files.pythonhosted.org/packages/f4/f3/aa5976e8352b7695ff808599794b1fba2a9ae2ee954a3426855935799488/pydantic_core-2.33.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a144d4f717285c6d9234a66778059f33a89096dfb9b39117663fd8413d582dcc", size = 1983792, upload-time = "2025-04-23T18:31:07.93Z" }, + { url = "https://files.pythonhosted.org/packages/d5/7a/cda9b5a23c552037717f2b2a5257e9b2bfe45e687386df9591eff7b46d28/pydantic_core-2.33.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:73cf6373c21bc80b2e0dc88444f41ae60b2f070ed02095754eb5a01df12256de", size = 2136338, upload-time = "2025-04-23T18:31:09.283Z" }, + { url = "https://files.pythonhosted.org/packages/2b/9f/b8f9ec8dd1417eb9da784e91e1667d58a2a4a7b7b34cf4af765ef663a7e5/pydantic_core-2.33.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3dc625f4aa79713512d1976fe9f0bc99f706a9dee21dfd1810b4bbbf228d0e8a", size = 2730998, upload-time = "2025-04-23T18:31:11.7Z" }, + { url = "https://files.pythonhosted.org/packages/47/bc/cd720e078576bdb8255d5032c5d63ee5c0bf4b7173dd955185a1d658c456/pydantic_core-2.33.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:881b21b5549499972441da4758d662aeea93f1923f953e9cbaff14b8b9565aef", size = 2003200, upload-time = "2025-04-23T18:31:13.536Z" }, + { url = "https://files.pythonhosted.org/packages/ca/22/3602b895ee2cd29d11a2b349372446ae9727c32e78a94b3d588a40fdf187/pydantic_core-2.33.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:bdc25f3681f7b78572699569514036afe3c243bc3059d3942624e936ec93450e", size = 2113890, upload-time = "2025-04-23T18:31:15.011Z" }, + { url = "https://files.pythonhosted.org/packages/ff/e6/e3c5908c03cf00d629eb38393a98fccc38ee0ce8ecce32f69fc7d7b558a7/pydantic_core-2.33.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d", size = 2073359, upload-time = "2025-04-23T18:31:16.393Z" }, + { url = "https://files.pythonhosted.org/packages/12/e7/6a36a07c59ebefc8777d1ffdaf5ae71b06b21952582e4b07eba88a421c79/pydantic_core-2.33.2-cp311-cp311-musllinux_1_1_armv7l.whl", hash = "sha256:bc7aee6f634a6f4a95676fcb5d6559a2c2a390330098dba5e5a5f28a2e4ada30", size = 2245883, upload-time = "2025-04-23T18:31:17.892Z" }, + { url = "https://files.pythonhosted.org/packages/16/3f/59b3187aaa6cc0c1e6616e8045b284de2b6a87b027cce2ffcea073adf1d2/pydantic_core-2.33.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:235f45e5dbcccf6bd99f9f472858849f73d11120d76ea8707115415f8e5ebebf", size = 2241074, upload-time = "2025-04-23T18:31:19.205Z" }, + { url = "https://files.pythonhosted.org/packages/e0/ed/55532bb88f674d5d8f67ab121a2a13c385df382de2a1677f30ad385f7438/pydantic_core-2.33.2-cp311-cp311-win32.whl", hash = "sha256:6368900c2d3ef09b69cb0b913f9f8263b03786e5b2a387706c5afb66800efd51", size = 1910538, upload-time = "2025-04-23T18:31:20.541Z" }, + { url = "https://files.pythonhosted.org/packages/fe/1b/25b7cccd4519c0b23c2dd636ad39d381abf113085ce4f7bec2b0dc755eb1/pydantic_core-2.33.2-cp311-cp311-win_amd64.whl", hash = "sha256:1e063337ef9e9820c77acc768546325ebe04ee38b08703244c1309cccc4f1bab", size = 1952909, upload-time = "2025-04-23T18:31:22.371Z" }, + { url = "https://files.pythonhosted.org/packages/49/a9/d809358e49126438055884c4366a1f6227f0f84f635a9014e2deb9b9de54/pydantic_core-2.33.2-cp311-cp311-win_arm64.whl", hash = "sha256:6b99022f1d19bc32a4c2a0d544fc9a76e3be90f0b3f4af413f87d38749300e65", size = 1897786, upload-time = "2025-04-23T18:31:24.161Z" }, + { url = "https://files.pythonhosted.org/packages/18/8a/2b41c97f554ec8c71f2a8a5f85cb56a8b0956addfe8b0efb5b3d77e8bdc3/pydantic_core-2.33.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a7ec89dc587667f22b6a0b6579c249fca9026ce7c333fc142ba42411fa243cdc", size = 2009000, upload-time = "2025-04-23T18:31:25.863Z" }, + { url = "https://files.pythonhosted.org/packages/a1/02/6224312aacb3c8ecbaa959897af57181fb6cf3a3d7917fd44d0f2917e6f2/pydantic_core-2.33.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3c6db6e52c6d70aa0d00d45cdb9b40f0433b96380071ea80b09277dba021ddf7", size = 1847996, upload-time = "2025-04-23T18:31:27.341Z" }, + { url = "https://files.pythonhosted.org/packages/d6/46/6dcdf084a523dbe0a0be59d054734b86a981726f221f4562aed313dbcb49/pydantic_core-2.33.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e61206137cbc65e6d5256e1166f88331d3b6238e082d9f74613b9b765fb9025", size = 1880957, upload-time = "2025-04-23T18:31:28.956Z" }, + { url = "https://files.pythonhosted.org/packages/ec/6b/1ec2c03837ac00886ba8160ce041ce4e325b41d06a034adbef11339ae422/pydantic_core-2.33.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011", size = 1964199, upload-time = "2025-04-23T18:31:31.025Z" }, + { url = "https://files.pythonhosted.org/packages/2d/1d/6bf34d6adb9debd9136bd197ca72642203ce9aaaa85cfcbfcf20f9696e83/pydantic_core-2.33.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f", size = 2120296, upload-time = "2025-04-23T18:31:32.514Z" }, + { url = "https://files.pythonhosted.org/packages/e0/94/2bd0aaf5a591e974b32a9f7123f16637776c304471a0ab33cf263cf5591a/pydantic_core-2.33.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:96081f1605125ba0855dfda83f6f3df5ec90c61195421ba72223de35ccfb2f88", size = 2676109, upload-time = "2025-04-23T18:31:33.958Z" }, + { url = "https://files.pythonhosted.org/packages/f9/41/4b043778cf9c4285d59742281a769eac371b9e47e35f98ad321349cc5d61/pydantic_core-2.33.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f57a69461af2a5fa6e6bbd7a5f60d3b7e6cebb687f55106933188e79ad155c1", size = 2002028, upload-time = "2025-04-23T18:31:39.095Z" }, + { url = "https://files.pythonhosted.org/packages/cb/d5/7bb781bf2748ce3d03af04d5c969fa1308880e1dca35a9bd94e1a96a922e/pydantic_core-2.33.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:572c7e6c8bb4774d2ac88929e3d1f12bc45714ae5ee6d9a788a9fb35e60bb04b", size = 2100044, upload-time = "2025-04-23T18:31:41.034Z" }, + { url = "https://files.pythonhosted.org/packages/fe/36/def5e53e1eb0ad896785702a5bbfd25eed546cdcf4087ad285021a90ed53/pydantic_core-2.33.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1", size = 2058881, upload-time = "2025-04-23T18:31:42.757Z" }, + { url = "https://files.pythonhosted.org/packages/01/6c/57f8d70b2ee57fc3dc8b9610315949837fa8c11d86927b9bb044f8705419/pydantic_core-2.33.2-cp312-cp312-musllinux_1_1_armv7l.whl", hash = "sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6", size = 2227034, upload-time = "2025-04-23T18:31:44.304Z" }, + { url = "https://files.pythonhosted.org/packages/27/b9/9c17f0396a82b3d5cbea4c24d742083422639e7bb1d5bf600e12cb176a13/pydantic_core-2.33.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:5f483cfb75ff703095c59e365360cb73e00185e01aaea067cd19acffd2ab20ea", size = 2234187, upload-time = "2025-04-23T18:31:45.891Z" }, + { url = "https://files.pythonhosted.org/packages/b0/6a/adf5734ffd52bf86d865093ad70b2ce543415e0e356f6cacabbc0d9ad910/pydantic_core-2.33.2-cp312-cp312-win32.whl", hash = "sha256:9cb1da0f5a471435a7bc7e439b8a728e8b61e59784b2af70d7c169f8dd8ae290", size = 1892628, upload-time = "2025-04-23T18:31:47.819Z" }, + { url = "https://files.pythonhosted.org/packages/43/e4/5479fecb3606c1368d496a825d8411e126133c41224c1e7238be58b87d7e/pydantic_core-2.33.2-cp312-cp312-win_amd64.whl", hash = "sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2", size = 1955866, upload-time = "2025-04-23T18:31:49.635Z" }, + { url = "https://files.pythonhosted.org/packages/0d/24/8b11e8b3e2be9dd82df4b11408a67c61bb4dc4f8e11b5b0fc888b38118b5/pydantic_core-2.33.2-cp312-cp312-win_arm64.whl", hash = "sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab", size = 1888894, upload-time = "2025-04-23T18:31:51.609Z" }, + { url = "https://files.pythonhosted.org/packages/46/8c/99040727b41f56616573a28771b1bfa08a3d3fe74d3d513f01251f79f172/pydantic_core-2.33.2-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:1082dd3e2d7109ad8b7da48e1d4710c8d06c253cbc4a27c1cff4fbcaa97a9e3f", size = 2015688, upload-time = "2025-04-23T18:31:53.175Z" }, + { url = "https://files.pythonhosted.org/packages/3a/cc/5999d1eb705a6cefc31f0b4a90e9f7fc400539b1a1030529700cc1b51838/pydantic_core-2.33.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6", size = 1844808, upload-time = "2025-04-23T18:31:54.79Z" }, + { url = "https://files.pythonhosted.org/packages/6f/5e/a0a7b8885c98889a18b6e376f344da1ef323d270b44edf8174d6bce4d622/pydantic_core-2.33.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a9f2c9dd19656823cb8250b0724ee9c60a82f3cdf68a080979d13092a3b0fef", size = 1885580, upload-time = "2025-04-23T18:31:57.393Z" }, + { url = "https://files.pythonhosted.org/packages/3b/2a/953581f343c7d11a304581156618c3f592435523dd9d79865903272c256a/pydantic_core-2.33.2-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2b0a451c263b01acebe51895bfb0e1cc842a5c666efe06cdf13846c7418caa9a", size = 1973859, upload-time = "2025-04-23T18:31:59.065Z" }, + { url = "https://files.pythonhosted.org/packages/e6/55/f1a813904771c03a3f97f676c62cca0c0a4138654107c1b61f19c644868b/pydantic_core-2.33.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ea40a64d23faa25e62a70ad163571c0b342b8bf66d5fa612ac0dec4f069d916", size = 2120810, upload-time = "2025-04-23T18:32:00.78Z" }, + { url = "https://files.pythonhosted.org/packages/aa/c3/053389835a996e18853ba107a63caae0b9deb4a276c6b472931ea9ae6e48/pydantic_core-2.33.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0fb2d542b4d66f9470e8065c5469ec676978d625a8b7a363f07d9a501a9cb36a", size = 2676498, upload-time = "2025-04-23T18:32:02.418Z" }, + { url = "https://files.pythonhosted.org/packages/eb/3c/f4abd740877a35abade05e437245b192f9d0ffb48bbbbd708df33d3cda37/pydantic_core-2.33.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fdac5d6ffa1b5a83bca06ffe7583f5576555e6c8b3a91fbd25ea7780f825f7d", size = 2000611, upload-time = "2025-04-23T18:32:04.152Z" }, + { url = "https://files.pythonhosted.org/packages/59/a7/63ef2fed1837d1121a894d0ce88439fe3e3b3e48c7543b2a4479eb99c2bd/pydantic_core-2.33.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56", size = 2107924, upload-time = "2025-04-23T18:32:06.129Z" }, + { url = "https://files.pythonhosted.org/packages/04/8f/2551964ef045669801675f1cfc3b0d74147f4901c3ffa42be2ddb1f0efc4/pydantic_core-2.33.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5", size = 2063196, upload-time = "2025-04-23T18:32:08.178Z" }, + { url = "https://files.pythonhosted.org/packages/26/bd/d9602777e77fc6dbb0c7db9ad356e9a985825547dce5ad1d30ee04903918/pydantic_core-2.33.2-cp313-cp313-musllinux_1_1_armv7l.whl", hash = "sha256:5c92edd15cd58b3c2d34873597a1e20f13094f59cf88068adb18947df5455b4e", size = 2236389, upload-time = "2025-04-23T18:32:10.242Z" }, + { url = "https://files.pythonhosted.org/packages/42/db/0e950daa7e2230423ab342ae918a794964b053bec24ba8af013fc7c94846/pydantic_core-2.33.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:65132b7b4a1c0beded5e057324b7e16e10910c106d43675d9bd87d4f38dde162", size = 2239223, upload-time = "2025-04-23T18:32:12.382Z" }, + { url = "https://files.pythonhosted.org/packages/58/4d/4f937099c545a8a17eb52cb67fe0447fd9a373b348ccfa9a87f141eeb00f/pydantic_core-2.33.2-cp313-cp313-win32.whl", hash = "sha256:52fb90784e0a242bb96ec53f42196a17278855b0f31ac7c3cc6f5c1ec4811849", size = 1900473, upload-time = "2025-04-23T18:32:14.034Z" }, + { url = "https://files.pythonhosted.org/packages/a0/75/4a0a9bac998d78d889def5e4ef2b065acba8cae8c93696906c3a91f310ca/pydantic_core-2.33.2-cp313-cp313-win_amd64.whl", hash = "sha256:c083a3bdd5a93dfe480f1125926afcdbf2917ae714bdb80b36d34318b2bec5d9", size = 1955269, upload-time = "2025-04-23T18:32:15.783Z" }, + { url = "https://files.pythonhosted.org/packages/f9/86/1beda0576969592f1497b4ce8e7bc8cbdf614c352426271b1b10d5f0aa64/pydantic_core-2.33.2-cp313-cp313-win_arm64.whl", hash = "sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9", size = 1893921, upload-time = "2025-04-23T18:32:18.473Z" }, + { url = "https://files.pythonhosted.org/packages/a4/7d/e09391c2eebeab681df2b74bfe6c43422fffede8dc74187b2b0bf6fd7571/pydantic_core-2.33.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:61c18fba8e5e9db3ab908620af374db0ac1baa69f0f32df4f61ae23f15e586ac", size = 1806162, upload-time = "2025-04-23T18:32:20.188Z" }, + { url = "https://files.pythonhosted.org/packages/f1/3d/847b6b1fed9f8ed3bb95a9ad04fbd0b212e832d4f0f50ff4d9ee5a9f15cf/pydantic_core-2.33.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95237e53bb015f67b63c91af7518a62a8660376a6a0db19b89acc77a4d6199f5", size = 1981560, upload-time = "2025-04-23T18:32:22.354Z" }, + { url = "https://files.pythonhosted.org/packages/6f/9a/e73262f6c6656262b5fdd723ad90f518f579b7bc8622e43a942eec53c938/pydantic_core-2.33.2-cp313-cp313t-win_amd64.whl", hash = "sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9", size = 1935777, upload-time = "2025-04-23T18:32:25.088Z" }, + { url = "https://files.pythonhosted.org/packages/30/68/373d55e58b7e83ce371691f6eaa7175e3a24b956c44628eb25d7da007917/pydantic_core-2.33.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5c4aa4e82353f65e548c476b37e64189783aa5384903bfea4f41580f255fddfa", size = 2023982, upload-time = "2025-04-23T18:32:53.14Z" }, + { url = "https://files.pythonhosted.org/packages/a4/16/145f54ac08c96a63d8ed6442f9dec17b2773d19920b627b18d4f10a061ea/pydantic_core-2.33.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29", size = 1858412, upload-time = "2025-04-23T18:32:55.52Z" }, + { url = "https://files.pythonhosted.org/packages/41/b1/c6dc6c3e2de4516c0bb2c46f6a373b91b5660312342a0cf5826e38ad82fa/pydantic_core-2.33.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:87b31b6846e361ef83fedb187bb5b4372d0da3f7e28d85415efa92d6125d6e6d", size = 1892749, upload-time = "2025-04-23T18:32:57.546Z" }, + { url = "https://files.pythonhosted.org/packages/12/73/8cd57e20afba760b21b742106f9dbdfa6697f1570b189c7457a1af4cd8a0/pydantic_core-2.33.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa9d91b338f2df0508606f7009fde642391425189bba6d8c653afd80fd6bb64e", size = 2067527, upload-time = "2025-04-23T18:32:59.771Z" }, + { url = "https://files.pythonhosted.org/packages/e3/d5/0bb5d988cc019b3cba4a78f2d4b3854427fc47ee8ec8e9eaabf787da239c/pydantic_core-2.33.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2058a32994f1fde4ca0480ab9d1e75a0e8c87c22b53a3ae66554f9af78f2fe8c", size = 2108225, upload-time = "2025-04-23T18:33:04.51Z" }, + { url = "https://files.pythonhosted.org/packages/f1/c5/00c02d1571913d496aabf146106ad8239dc132485ee22efe08085084ff7c/pydantic_core-2.33.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:0e03262ab796d986f978f79c943fc5f620381be7287148b8010b4097f79a39ec", size = 2069490, upload-time = "2025-04-23T18:33:06.391Z" }, + { url = "https://files.pythonhosted.org/packages/22/a8/dccc38768274d3ed3a59b5d06f59ccb845778687652daa71df0cab4040d7/pydantic_core-2.33.2-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:1a8695a8d00c73e50bff9dfda4d540b7dee29ff9b8053e38380426a85ef10052", size = 2237525, upload-time = "2025-04-23T18:33:08.44Z" }, + { url = "https://files.pythonhosted.org/packages/d4/e7/4f98c0b125dda7cf7ccd14ba936218397b44f50a56dd8c16a3091df116c3/pydantic_core-2.33.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c", size = 2238446, upload-time = "2025-04-23T18:33:10.313Z" }, + { url = "https://files.pythonhosted.org/packages/ce/91/2ec36480fdb0b783cd9ef6795753c1dea13882f2e68e73bce76ae8c21e6a/pydantic_core-2.33.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a11c8d26a50bfab49002947d3d237abe4d9e4b5bdc8846a63537b6488e197808", size = 2066678, upload-time = "2025-04-23T18:33:12.224Z" }, + { url = "https://files.pythonhosted.org/packages/7b/27/d4ae6487d73948d6f20dddcd94be4ea43e74349b56eba82e9bdee2d7494c/pydantic_core-2.33.2-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8", size = 2025200, upload-time = "2025-04-23T18:33:14.199Z" }, + { url = "https://files.pythonhosted.org/packages/f1/b8/b3cb95375f05d33801024079b9392a5ab45267a63400bf1866e7ce0f0de4/pydantic_core-2.33.2-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593", size = 1859123, upload-time = "2025-04-23T18:33:16.555Z" }, + { url = "https://files.pythonhosted.org/packages/05/bc/0d0b5adeda59a261cd30a1235a445bf55c7e46ae44aea28f7bd6ed46e091/pydantic_core-2.33.2-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2f82865531efd18d6e07a04a17331af02cb7a651583c418df8266f17a63c6612", size = 1892852, upload-time = "2025-04-23T18:33:18.513Z" }, + { url = "https://files.pythonhosted.org/packages/3e/11/d37bdebbda2e449cb3f519f6ce950927b56d62f0b84fd9cb9e372a26a3d5/pydantic_core-2.33.2-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2bfb5112df54209d820d7bf9317c7a6c9025ea52e49f46b6a2060104bba37de7", size = 2067484, upload-time = "2025-04-23T18:33:20.475Z" }, + { url = "https://files.pythonhosted.org/packages/8c/55/1f95f0a05ce72ecb02a8a8a1c3be0579bbc29b1d5ab68f1378b7bebc5057/pydantic_core-2.33.2-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:64632ff9d614e5eecfb495796ad51b0ed98c453e447a76bcbeeb69615079fc7e", size = 2108896, upload-time = "2025-04-23T18:33:22.501Z" }, + { url = "https://files.pythonhosted.org/packages/53/89/2b2de6c81fa131f423246a9109d7b2a375e83968ad0800d6e57d0574629b/pydantic_core-2.33.2-pp311-pypy311_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8", size = 2069475, upload-time = "2025-04-23T18:33:24.528Z" }, + { url = "https://files.pythonhosted.org/packages/b8/e9/1f7efbe20d0b2b10f6718944b5d8ece9152390904f29a78e68d4e7961159/pydantic_core-2.33.2-pp311-pypy311_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf", size = 2239013, upload-time = "2025-04-23T18:33:26.621Z" }, + { url = "https://files.pythonhosted.org/packages/3c/b2/5309c905a93811524a49b4e031e9851a6b00ff0fb668794472ea7746b448/pydantic_core-2.33.2-pp311-pypy311_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:82f68293f055f51b51ea42fafc74b6aad03e70e191799430b90c13d643059ebb", size = 2238715, upload-time = "2025-04-23T18:33:28.656Z" }, + { url = "https://files.pythonhosted.org/packages/32/56/8a7ca5d2cd2cda1d245d34b1c9a942920a718082ae8e54e5f3e5a58b7add/pydantic_core-2.33.2-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:329467cecfb529c925cf2bbd4d60d2c509bc2fb52a20c1045bf09bb70971a9c1", size = 2066757, upload-time = "2025-04-23T18:33:30.645Z" }, +] + +[[package]] +name = "pygments" +version = "2.19.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/7c/2d/c3338d48ea6cc0feb8446d8e6937e1408088a72a39937982cc6111d17f84/pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f", size = 4968581, upload-time = "2025-01-06T17:26:30.443Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8a/0b/9fcc47d19c48b59121088dd6da2488a49d5f72dacf8262e2790a1d2c7d15/pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c", size = 1225293, upload-time = "2025-01-06T17:26:25.553Z" }, +] + +[[package]] +name = "pyparsing" +version = "3.2.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/bb/22/f1129e69d94ffff626bdb5c835506b3a5b4f3d070f17ea295e12c2c6f60f/pyparsing-3.2.3.tar.gz", hash = "sha256:b9c13f1ab8b3b542f72e28f634bad4de758ab3ce4546e4301970ad6fa77c38be", size = 1088608, upload-time = "2025-03-25T05:01:28.114Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/05/e7/df2285f3d08fee213f2d041540fa4fc9ca6c2d44cf36d3a035bf2a8d2bcc/pyparsing-3.2.3-py3-none-any.whl", hash = "sha256:a749938e02d6fd0b59b356ca504a24982314bb090c383e3cf201c95ef7e2bfcf", size = 111120, upload-time = "2025-03-25T05:01:24.908Z" }, +] + +[[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 = "python-json-logger" +version = "3.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/9e/de/d3144a0bceede957f961e975f3752760fbe390d57fbe194baf709d8f1f7b/python_json_logger-3.3.0.tar.gz", hash = "sha256:12b7e74b17775e7d565129296105bbe3910842d9d0eb083fc83a6a617aa8df84", size = 16642, upload-time = "2025-03-07T07:08:27.301Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/08/20/0f2523b9e50a8052bc6a8b732dfc8568abbdc42010aef03a2d750bdab3b2/python_json_logger-3.3.0-py3-none-any.whl", hash = "sha256:dd980fae8cffb24c13caf6e158d3d61c0d6d22342f932cb6e9deedab3d35eec7", size = 15163, upload-time = "2025-03-07T07:08:25.627Z" }, +] + +[[package]] +name = "pytz" +version = "2025.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f8/bf/abbd3cdfb8fbc7fb3d4d38d320f2441b1e7cbe29be4f23797b4a2b5d8aac/pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3", size = 320884, upload-time = "2025-03-25T02:25:00.538Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/81/c4/34e93fe5f5429d7570ec1fa436f1986fb1f00c3e0f43a589fe2bbcd22c3f/pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00", size = 509225, upload-time = "2025-03-25T02:24:58.468Z" }, +] + +[[package]] +name = "pywin32" +version = "310" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/95/da/a5f38fffbba2fb99aa4aa905480ac4b8e83ca486659ac8c95bce47fb5276/pywin32-310-cp310-cp310-win32.whl", hash = "sha256:6dd97011efc8bf51d6793a82292419eba2c71cf8e7250cfac03bba284454abc1", size = 8848240, upload-time = "2025-03-17T00:55:46.783Z" }, + { url = "https://files.pythonhosted.org/packages/aa/fe/d873a773324fa565619ba555a82c9dabd677301720f3660a731a5d07e49a/pywin32-310-cp310-cp310-win_amd64.whl", hash = "sha256:c3e78706e4229b915a0821941a84e7ef420bf2b77e08c9dae3c76fd03fd2ae3d", size = 9601854, upload-time = "2025-03-17T00:55:48.783Z" }, + { url = "https://files.pythonhosted.org/packages/3c/84/1a8e3d7a15490d28a5d816efa229ecb4999cdc51a7c30dd8914f669093b8/pywin32-310-cp310-cp310-win_arm64.whl", hash = "sha256:33babed0cf0c92a6f94cc6cc13546ab24ee13e3e800e61ed87609ab91e4c8213", size = 8522963, upload-time = "2025-03-17T00:55:50.969Z" }, + { url = "https://files.pythonhosted.org/packages/f7/b1/68aa2986129fb1011dabbe95f0136f44509afaf072b12b8f815905a39f33/pywin32-310-cp311-cp311-win32.whl", hash = "sha256:1e765f9564e83011a63321bb9d27ec456a0ed90d3732c4b2e312b855365ed8bd", size = 8784284, upload-time = "2025-03-17T00:55:53.124Z" }, + { url = "https://files.pythonhosted.org/packages/b3/bd/d1592635992dd8db5bb8ace0551bc3a769de1ac8850200cfa517e72739fb/pywin32-310-cp311-cp311-win_amd64.whl", hash = "sha256:126298077a9d7c95c53823934f000599f66ec9296b09167810eb24875f32689c", size = 9520748, upload-time = "2025-03-17T00:55:55.203Z" }, + { url = "https://files.pythonhosted.org/packages/90/b1/ac8b1ffce6603849eb45a91cf126c0fa5431f186c2e768bf56889c46f51c/pywin32-310-cp311-cp311-win_arm64.whl", hash = "sha256:19ec5fc9b1d51c4350be7bb00760ffce46e6c95eaf2f0b2f1150657b1a43c582", size = 8455941, upload-time = "2025-03-17T00:55:57.048Z" }, + { url = "https://files.pythonhosted.org/packages/6b/ec/4fdbe47932f671d6e348474ea35ed94227fb5df56a7c30cbbb42cd396ed0/pywin32-310-cp312-cp312-win32.whl", hash = "sha256:8a75a5cc3893e83a108c05d82198880704c44bbaee4d06e442e471d3c9ea4f3d", size = 8796239, upload-time = "2025-03-17T00:55:58.807Z" }, + { url = "https://files.pythonhosted.org/packages/e3/e5/b0627f8bb84e06991bea89ad8153a9e50ace40b2e1195d68e9dff6b03d0f/pywin32-310-cp312-cp312-win_amd64.whl", hash = "sha256:bf5c397c9a9a19a6f62f3fb821fbf36cac08f03770056711f765ec1503972060", size = 9503839, upload-time = "2025-03-17T00:56:00.8Z" }, + { url = "https://files.pythonhosted.org/packages/1f/32/9ccf53748df72301a89713936645a664ec001abd35ecc8578beda593d37d/pywin32-310-cp312-cp312-win_arm64.whl", hash = "sha256:2349cc906eae872d0663d4d6290d13b90621eaf78964bb1578632ff20e152966", size = 8459470, upload-time = "2025-03-17T00:56:02.601Z" }, + { url = "https://files.pythonhosted.org/packages/1c/09/9c1b978ffc4ae53999e89c19c77ba882d9fce476729f23ef55211ea1c034/pywin32-310-cp313-cp313-win32.whl", hash = "sha256:5d241a659c496ada3253cd01cfaa779b048e90ce4b2b38cd44168ad555ce74ab", size = 8794384, upload-time = "2025-03-17T00:56:04.383Z" }, + { url = "https://files.pythonhosted.org/packages/45/3c/b4640f740ffebadd5d34df35fecba0e1cfef8fde9f3e594df91c28ad9b50/pywin32-310-cp313-cp313-win_amd64.whl", hash = "sha256:667827eb3a90208ddbdcc9e860c81bde63a135710e21e4cb3348968e4bd5249e", size = 9503039, upload-time = "2025-03-17T00:56:06.207Z" }, + { url = "https://files.pythonhosted.org/packages/b4/f4/f785020090fb050e7fb6d34b780f2231f302609dc964672f72bfaeb59a28/pywin32-310-cp313-cp313-win_arm64.whl", hash = "sha256:e308f831de771482b7cf692a1f308f8fca701b2d8f9dde6cc440c7da17e47b33", size = 8458152, upload-time = "2025-03-17T00:56:07.819Z" }, +] + +[[package]] +name = "pywinpty" +version = "2.0.15" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/2d/7c/917f9c4681bb8d34bfbe0b79d36bbcd902651aeab48790df3d30ba0202fb/pywinpty-2.0.15.tar.gz", hash = "sha256:312cf39153a8736c617d45ce8b6ad6cd2107de121df91c455b10ce6bba7a39b2", size = 29017, upload-time = "2025-02-03T21:53:23.265Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a6/b7/855db919ae526d2628f3f2e6c281c4cdff7a9a8af51bb84659a9f07b1861/pywinpty-2.0.15-cp310-cp310-win_amd64.whl", hash = "sha256:8e7f5de756a615a38b96cd86fa3cd65f901ce54ce147a3179c45907fa11b4c4e", size = 1405161, upload-time = "2025-02-03T21:56:25.008Z" }, + { url = "https://files.pythonhosted.org/packages/5e/ac/6884dcb7108af66ad53f73ef4dad096e768c9203a6e6ce5e6b0c4a46e238/pywinpty-2.0.15-cp311-cp311-win_amd64.whl", hash = "sha256:9a6bcec2df2707aaa9d08b86071970ee32c5026e10bcc3cc5f6f391d85baf7ca", size = 1405249, upload-time = "2025-02-03T21:55:47.114Z" }, + { url = "https://files.pythonhosted.org/packages/88/e5/9714def18c3a411809771a3fbcec70bffa764b9675afb00048a620fca604/pywinpty-2.0.15-cp312-cp312-win_amd64.whl", hash = "sha256:83a8f20b430bbc5d8957249f875341a60219a4e971580f2ba694fbfb54a45ebc", size = 1405243, upload-time = "2025-02-03T21:56:52.476Z" }, + { url = "https://files.pythonhosted.org/packages/fb/16/2ab7b3b7f55f3c6929e5f629e1a68362981e4e5fed592a2ed1cb4b4914a5/pywinpty-2.0.15-cp313-cp313-win_amd64.whl", hash = "sha256:ab5920877dd632c124b4ed17bc6dd6ef3b9f86cd492b963ffdb1a67b85b0f408", size = 1405020, upload-time = "2025-02-03T21:56:04.753Z" }, + { url = "https://files.pythonhosted.org/packages/7c/16/edef3515dd2030db2795dbfbe392232c7a0f3dc41b98e92b38b42ba497c7/pywinpty-2.0.15-cp313-cp313t-win_amd64.whl", hash = "sha256:a4560ad8c01e537708d2790dbe7da7d986791de805d89dd0d3697ca59e9e4901", size = 1404151, upload-time = "2025-02-03T21:55:53.628Z" }, +] + +[[package]] +name = "pyyaml" +version = "6.0.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/54/ed/79a089b6be93607fa5cdaedf301d7dfb23af5f25c398d5ead2525b063e17/pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e", size = 130631, upload-time = "2024-08-06T20:33:50.674Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9b/95/a3fac87cb7158e231b5a6012e438c647e1a87f09f8e0d123acec8ab8bf71/PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086", size = 184199, upload-time = "2024-08-06T20:31:40.178Z" }, + { url = "https://files.pythonhosted.org/packages/c7/7a/68bd47624dab8fd4afbfd3c48e3b79efe09098ae941de5b58abcbadff5cb/PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf", size = 171758, upload-time = "2024-08-06T20:31:42.173Z" }, + { url = "https://files.pythonhosted.org/packages/49/ee/14c54df452143b9ee9f0f29074d7ca5516a36edb0b4cc40c3f280131656f/PyYAML-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8824b5a04a04a047e72eea5cec3bc266db09e35de6bdfe34c9436ac5ee27d237", size = 718463, upload-time = "2024-08-06T20:31:44.263Z" }, + { url = "https://files.pythonhosted.org/packages/4d/61/de363a97476e766574650d742205be468921a7b532aa2499fcd886b62530/PyYAML-6.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c36280e6fb8385e520936c3cb3b8042851904eba0e58d277dca80a5cfed590b", size = 719280, upload-time = "2024-08-06T20:31:50.199Z" }, + { url = "https://files.pythonhosted.org/packages/6b/4e/1523cb902fd98355e2e9ea5e5eb237cbc5f3ad5f3075fa65087aa0ecb669/PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed", size = 751239, upload-time = "2024-08-06T20:31:52.292Z" }, + { url = "https://files.pythonhosted.org/packages/b7/33/5504b3a9a4464893c32f118a9cc045190a91637b119a9c881da1cf6b7a72/PyYAML-6.0.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:936d68689298c36b53b29f23c6dbb74de12b4ac12ca6cfe0e047bedceea56180", size = 695802, upload-time = "2024-08-06T20:31:53.836Z" }, + { url = "https://files.pythonhosted.org/packages/5c/20/8347dcabd41ef3a3cdc4f7b7a2aff3d06598c8779faa189cdbf878b626a4/PyYAML-6.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:23502f431948090f597378482b4812b0caae32c22213aecf3b55325e049a6c68", size = 720527, upload-time = "2024-08-06T20:31:55.565Z" }, + { url = "https://files.pythonhosted.org/packages/be/aa/5afe99233fb360d0ff37377145a949ae258aaab831bde4792b32650a4378/PyYAML-6.0.2-cp310-cp310-win32.whl", hash = "sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99", size = 144052, upload-time = "2024-08-06T20:31:56.914Z" }, + { url = "https://files.pythonhosted.org/packages/b5/84/0fa4b06f6d6c958d207620fc60005e241ecedceee58931bb20138e1e5776/PyYAML-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e", size = 161774, upload-time = "2024-08-06T20:31:58.304Z" }, + { url = "https://files.pythonhosted.org/packages/f8/aa/7af4e81f7acba21a4c6be026da38fd2b872ca46226673c89a758ebdc4fd2/PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774", size = 184612, upload-time = "2024-08-06T20:32:03.408Z" }, + { url = "https://files.pythonhosted.org/packages/8b/62/b9faa998fd185f65c1371643678e4d58254add437edb764a08c5a98fb986/PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee", size = 172040, upload-time = "2024-08-06T20:32:04.926Z" }, + { url = "https://files.pythonhosted.org/packages/ad/0c/c804f5f922a9a6563bab712d8dcc70251e8af811fce4524d57c2c0fd49a4/PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c", size = 736829, upload-time = "2024-08-06T20:32:06.459Z" }, + { url = "https://files.pythonhosted.org/packages/51/16/6af8d6a6b210c8e54f1406a6b9481febf9c64a3109c541567e35a49aa2e7/PyYAML-6.0.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ac9328ec4831237bec75defaf839f7d4564be1e6b25ac710bd1a96321cc8317", size = 764167, upload-time = "2024-08-06T20:32:08.338Z" }, + { url = "https://files.pythonhosted.org/packages/75/e4/2c27590dfc9992f73aabbeb9241ae20220bd9452df27483b6e56d3975cc5/PyYAML-6.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85", size = 762952, upload-time = "2024-08-06T20:32:14.124Z" }, + { url = "https://files.pythonhosted.org/packages/9b/97/ecc1abf4a823f5ac61941a9c00fe501b02ac3ab0e373c3857f7d4b83e2b6/PyYAML-6.0.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4", size = 735301, upload-time = "2024-08-06T20:32:16.17Z" }, + { url = "https://files.pythonhosted.org/packages/45/73/0f49dacd6e82c9430e46f4a027baa4ca205e8b0a9dce1397f44edc23559d/PyYAML-6.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e", size = 756638, upload-time = "2024-08-06T20:32:18.555Z" }, + { url = "https://files.pythonhosted.org/packages/22/5f/956f0f9fc65223a58fbc14459bf34b4cc48dec52e00535c79b8db361aabd/PyYAML-6.0.2-cp311-cp311-win32.whl", hash = "sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5", size = 143850, upload-time = "2024-08-06T20:32:19.889Z" }, + { url = "https://files.pythonhosted.org/packages/ed/23/8da0bbe2ab9dcdd11f4f4557ccaf95c10b9811b13ecced089d43ce59c3c8/PyYAML-6.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44", size = 161980, upload-time = "2024-08-06T20:32:21.273Z" }, + { url = "https://files.pythonhosted.org/packages/86/0c/c581167fc46d6d6d7ddcfb8c843a4de25bdd27e4466938109ca68492292c/PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab", size = 183873, upload-time = "2024-08-06T20:32:25.131Z" }, + { url = "https://files.pythonhosted.org/packages/a8/0c/38374f5bb272c051e2a69281d71cba6fdb983413e6758b84482905e29a5d/PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725", size = 173302, upload-time = "2024-08-06T20:32:26.511Z" }, + { url = "https://files.pythonhosted.org/packages/c3/93/9916574aa8c00aa06bbac729972eb1071d002b8e158bd0e83a3b9a20a1f7/PyYAML-6.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5", size = 739154, upload-time = "2024-08-06T20:32:28.363Z" }, + { url = "https://files.pythonhosted.org/packages/95/0f/b8938f1cbd09739c6da569d172531567dbcc9789e0029aa070856f123984/PyYAML-6.0.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425", size = 766223, upload-time = "2024-08-06T20:32:30.058Z" }, + { url = "https://files.pythonhosted.org/packages/b9/2b/614b4752f2e127db5cc206abc23a8c19678e92b23c3db30fc86ab731d3bd/PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476", size = 767542, upload-time = "2024-08-06T20:32:31.881Z" }, + { url = "https://files.pythonhosted.org/packages/d4/00/dd137d5bcc7efea1836d6264f049359861cf548469d18da90cd8216cf05f/PyYAML-6.0.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48", size = 731164, upload-time = "2024-08-06T20:32:37.083Z" }, + { url = "https://files.pythonhosted.org/packages/c9/1f/4f998c900485e5c0ef43838363ba4a9723ac0ad73a9dc42068b12aaba4e4/PyYAML-6.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b", size = 756611, upload-time = "2024-08-06T20:32:38.898Z" }, + { url = "https://files.pythonhosted.org/packages/df/d1/f5a275fdb252768b7a11ec63585bc38d0e87c9e05668a139fea92b80634c/PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4", size = 140591, upload-time = "2024-08-06T20:32:40.241Z" }, + { url = "https://files.pythonhosted.org/packages/0c/e8/4f648c598b17c3d06e8753d7d13d57542b30d56e6c2dedf9c331ae56312e/PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8", size = 156338, upload-time = "2024-08-06T20:32:41.93Z" }, + { url = "https://files.pythonhosted.org/packages/ef/e3/3af305b830494fa85d95f6d95ef7fa73f2ee1cc8ef5b495c7c3269fb835f/PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba", size = 181309, upload-time = "2024-08-06T20:32:43.4Z" }, + { url = "https://files.pythonhosted.org/packages/45/9f/3b1c20a0b7a3200524eb0076cc027a970d320bd3a6592873c85c92a08731/PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1", size = 171679, upload-time = "2024-08-06T20:32:44.801Z" }, + { url = "https://files.pythonhosted.org/packages/7c/9a/337322f27005c33bcb656c655fa78325b730324c78620e8328ae28b64d0c/PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133", size = 733428, upload-time = "2024-08-06T20:32:46.432Z" }, + { url = "https://files.pythonhosted.org/packages/a3/69/864fbe19e6c18ea3cc196cbe5d392175b4cf3d5d0ac1403ec3f2d237ebb5/PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484", size = 763361, upload-time = "2024-08-06T20:32:51.188Z" }, + { url = "https://files.pythonhosted.org/packages/04/24/b7721e4845c2f162d26f50521b825fb061bc0a5afcf9a386840f23ea19fa/PyYAML-6.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5", size = 759523, upload-time = "2024-08-06T20:32:53.019Z" }, + { url = "https://files.pythonhosted.org/packages/2b/b2/e3234f59ba06559c6ff63c4e10baea10e5e7df868092bf9ab40e5b9c56b6/PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc", size = 726660, upload-time = "2024-08-06T20:32:54.708Z" }, + { url = "https://files.pythonhosted.org/packages/fe/0f/25911a9f080464c59fab9027482f822b86bf0608957a5fcc6eaac85aa515/PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652", size = 751597, upload-time = "2024-08-06T20:32:56.985Z" }, + { url = "https://files.pythonhosted.org/packages/14/0d/e2c3b43bbce3cf6bd97c840b46088a3031085179e596d4929729d8d68270/PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183", size = 140527, upload-time = "2024-08-06T20:33:03.001Z" }, + { url = "https://files.pythonhosted.org/packages/fa/de/02b54f42487e3d3c6efb3f89428677074ca7bf43aae402517bc7cca949f3/PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563", size = 156446, upload-time = "2024-08-06T20:33:04.33Z" }, +] + +[[package]] +name = "pyzmq" +version = "26.4.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "cffi", marker = "implementation_name == 'pypy'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b1/11/b9213d25230ac18a71b39b3723494e57adebe36e066397b961657b3b41c1/pyzmq-26.4.0.tar.gz", hash = "sha256:4bd13f85f80962f91a651a7356fe0472791a5f7a92f227822b5acf44795c626d", size = 278293, upload-time = "2025-04-04T12:05:44.049Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/38/b8/af1d814ffc3ff9730f9a970cbf216b6f078e5d251a25ef5201d7bc32a37c/pyzmq-26.4.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:0329bdf83e170ac133f44a233fc651f6ed66ef8e66693b5af7d54f45d1ef5918", size = 1339238, upload-time = "2025-04-04T12:03:07.022Z" }, + { url = "https://files.pythonhosted.org/packages/ee/e4/5aafed4886c264f2ea6064601ad39c5fc4e9b6539c6ebe598a859832eeee/pyzmq-26.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:398a825d2dea96227cf6460ce0a174cf7657d6f6827807d4d1ae9d0f9ae64315", size = 672848, upload-time = "2025-04-04T12:03:08.591Z" }, + { url = "https://files.pythonhosted.org/packages/79/39/026bf49c721cb42f1ef3ae0ee3d348212a7621d2adb739ba97599b6e4d50/pyzmq-26.4.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6d52d62edc96787f5c1dfa6c6ccff9b581cfae5a70d94ec4c8da157656c73b5b", size = 911299, upload-time = "2025-04-04T12:03:10Z" }, + { url = "https://files.pythonhosted.org/packages/03/23/b41f936a9403b8f92325c823c0f264c6102a0687a99c820f1aaeb99c1def/pyzmq-26.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1410c3a3705db68d11eb2424d75894d41cff2f64d948ffe245dd97a9debfebf4", size = 867920, upload-time = "2025-04-04T12:03:11.311Z" }, + { url = "https://files.pythonhosted.org/packages/c1/3e/2de5928cdadc2105e7c8f890cc5f404136b41ce5b6eae5902167f1d5641c/pyzmq-26.4.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:7dacb06a9c83b007cc01e8e5277f94c95c453c5851aac5e83efe93e72226353f", size = 862514, upload-time = "2025-04-04T12:03:13.013Z" }, + { url = "https://files.pythonhosted.org/packages/ce/57/109569514dd32e05a61d4382bc88980c95bfd2f02e58fea47ec0ccd96de1/pyzmq-26.4.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6bab961c8c9b3a4dc94d26e9b2cdf84de9918931d01d6ff38c721a83ab3c0ef5", size = 1204494, upload-time = "2025-04-04T12:03:14.795Z" }, + { url = "https://files.pythonhosted.org/packages/aa/02/dc51068ff2ca70350d1151833643a598625feac7b632372d229ceb4de3e1/pyzmq-26.4.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:7a5c09413b924d96af2aa8b57e76b9b0058284d60e2fc3730ce0f979031d162a", size = 1514525, upload-time = "2025-04-04T12:03:16.246Z" }, + { url = "https://files.pythonhosted.org/packages/48/2a/a7d81873fff0645eb60afaec2b7c78a85a377af8f1d911aff045d8955bc7/pyzmq-26.4.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7d489ac234d38e57f458fdbd12a996bfe990ac028feaf6f3c1e81ff766513d3b", size = 1414659, upload-time = "2025-04-04T12:03:17.652Z" }, + { url = "https://files.pythonhosted.org/packages/ef/ea/813af9c42ae21845c1ccfe495bd29c067622a621e85d7cda6bc437de8101/pyzmq-26.4.0-cp310-cp310-win32.whl", hash = "sha256:dea1c8db78fb1b4b7dc9f8e213d0af3fc8ecd2c51a1d5a3ca1cde1bda034a980", size = 580348, upload-time = "2025-04-04T12:03:19.384Z" }, + { url = "https://files.pythonhosted.org/packages/20/68/318666a89a565252c81d3fed7f3b4c54bd80fd55c6095988dfa2cd04a62b/pyzmq-26.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:fa59e1f5a224b5e04dc6c101d7186058efa68288c2d714aa12d27603ae93318b", size = 643838, upload-time = "2025-04-04T12:03:20.795Z" }, + { url = "https://files.pythonhosted.org/packages/91/f8/fb1a15b5f4ecd3e588bfde40c17d32ed84b735195b5c7d1d7ce88301a16f/pyzmq-26.4.0-cp310-cp310-win_arm64.whl", hash = "sha256:a651fe2f447672f4a815e22e74630b6b1ec3a1ab670c95e5e5e28dcd4e69bbb5", size = 559565, upload-time = "2025-04-04T12:03:22.676Z" }, + { url = "https://files.pythonhosted.org/packages/32/6d/234e3b0aa82fd0290b1896e9992f56bdddf1f97266110be54d0177a9d2d9/pyzmq-26.4.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:bfcf82644c9b45ddd7cd2a041f3ff8dce4a0904429b74d73a439e8cab1bd9e54", size = 1339723, upload-time = "2025-04-04T12:03:24.358Z" }, + { url = "https://files.pythonhosted.org/packages/4f/11/6d561efe29ad83f7149a7cd48e498e539ed09019c6cd7ecc73f4cc725028/pyzmq-26.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e9bcae3979b2654d5289d3490742378b2f3ce804b0b5fd42036074e2bf35b030", size = 672645, upload-time = "2025-04-04T12:03:25.693Z" }, + { url = "https://files.pythonhosted.org/packages/19/fd/81bfe3e23f418644660bad1a90f0d22f0b3eebe33dd65a79385530bceb3d/pyzmq-26.4.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ccdff8ac4246b6fb60dcf3982dfaeeff5dd04f36051fe0632748fc0aa0679c01", size = 910133, upload-time = "2025-04-04T12:03:27.625Z" }, + { url = "https://files.pythonhosted.org/packages/97/68/321b9c775595ea3df832a9516252b653fe32818db66fdc8fa31c9b9fce37/pyzmq-26.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4550af385b442dc2d55ab7717837812799d3674cb12f9a3aa897611839c18e9e", size = 867428, upload-time = "2025-04-04T12:03:29.004Z" }, + { url = "https://files.pythonhosted.org/packages/4e/6e/159cbf2055ef36aa2aa297e01b24523176e5b48ead283c23a94179fb2ba2/pyzmq-26.4.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:2f9f7ffe9db1187a253fca95191854b3fda24696f086e8789d1d449308a34b88", size = 862409, upload-time = "2025-04-04T12:03:31.032Z" }, + { url = "https://files.pythonhosted.org/packages/05/1c/45fb8db7be5a7d0cadea1070a9cbded5199a2d578de2208197e592f219bd/pyzmq-26.4.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:3709c9ff7ba61589b7372923fd82b99a81932b592a5c7f1a24147c91da9a68d6", size = 1205007, upload-time = "2025-04-04T12:03:32.687Z" }, + { url = "https://files.pythonhosted.org/packages/f8/fa/658c7f583af6498b463f2fa600f34e298e1b330886f82f1feba0dc2dd6c3/pyzmq-26.4.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:f8f3c30fb2d26ae5ce36b59768ba60fb72507ea9efc72f8f69fa088450cff1df", size = 1514599, upload-time = "2025-04-04T12:03:34.084Z" }, + { url = "https://files.pythonhosted.org/packages/4d/d7/44d641522353ce0a2bbd150379cb5ec32f7120944e6bfba4846586945658/pyzmq-26.4.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:382a4a48c8080e273427fc692037e3f7d2851959ffe40864f2db32646eeb3cef", size = 1414546, upload-time = "2025-04-04T12:03:35.478Z" }, + { url = "https://files.pythonhosted.org/packages/72/76/c8ed7263218b3d1e9bce07b9058502024188bd52cc0b0a267a9513b431fc/pyzmq-26.4.0-cp311-cp311-win32.whl", hash = "sha256:d56aad0517d4c09e3b4f15adebba8f6372c5102c27742a5bdbfc74a7dceb8fca", size = 579247, upload-time = "2025-04-04T12:03:36.846Z" }, + { url = "https://files.pythonhosted.org/packages/c3/d0/2d9abfa2571a0b1a67c0ada79a8aa1ba1cce57992d80f771abcdf99bb32c/pyzmq-26.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:963977ac8baed7058c1e126014f3fe58b3773f45c78cce7af5c26c09b6823896", size = 644727, upload-time = "2025-04-04T12:03:38.578Z" }, + { url = "https://files.pythonhosted.org/packages/0d/d1/c8ad82393be6ccedfc3c9f3adb07f8f3976e3c4802640fe3f71441941e70/pyzmq-26.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:c0c8e8cadc81e44cc5088fcd53b9b3b4ce9344815f6c4a03aec653509296fae3", size = 559942, upload-time = "2025-04-04T12:03:40.143Z" }, + { url = "https://files.pythonhosted.org/packages/10/44/a778555ebfdf6c7fc00816aad12d185d10a74d975800341b1bc36bad1187/pyzmq-26.4.0-cp312-cp312-macosx_10_15_universal2.whl", hash = "sha256:5227cb8da4b6f68acfd48d20c588197fd67745c278827d5238c707daf579227b", size = 1341586, upload-time = "2025-04-04T12:03:41.954Z" }, + { url = "https://files.pythonhosted.org/packages/9c/4f/f3a58dc69ac757e5103be3bd41fb78721a5e17da7cc617ddb56d973a365c/pyzmq-26.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e1c07a7fa7f7ba86554a2b1bef198c9fed570c08ee062fd2fd6a4dcacd45f905", size = 665880, upload-time = "2025-04-04T12:03:43.45Z" }, + { url = "https://files.pythonhosted.org/packages/fe/45/50230bcfb3ae5cb98bee683b6edeba1919f2565d7cc1851d3c38e2260795/pyzmq-26.4.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae775fa83f52f52de73183f7ef5395186f7105d5ed65b1ae65ba27cb1260de2b", size = 902216, upload-time = "2025-04-04T12:03:45.572Z" }, + { url = "https://files.pythonhosted.org/packages/41/59/56bbdc5689be5e13727491ad2ba5efd7cd564365750514f9bc8f212eef82/pyzmq-26.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66c760d0226ebd52f1e6b644a9e839b5db1e107a23f2fcd46ec0569a4fdd4e63", size = 859814, upload-time = "2025-04-04T12:03:47.188Z" }, + { url = "https://files.pythonhosted.org/packages/81/b1/57db58cfc8af592ce94f40649bd1804369c05b2190e4cbc0a2dad572baeb/pyzmq-26.4.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:ef8c6ecc1d520debc147173eaa3765d53f06cd8dbe7bd377064cdbc53ab456f5", size = 855889, upload-time = "2025-04-04T12:03:49.223Z" }, + { url = "https://files.pythonhosted.org/packages/e8/92/47542e629cbac8f221c230a6d0f38dd3d9cff9f6f589ed45fdf572ffd726/pyzmq-26.4.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:3150ef4084e163dec29ae667b10d96aad309b668fac6810c9e8c27cf543d6e0b", size = 1197153, upload-time = "2025-04-04T12:03:50.591Z" }, + { url = "https://files.pythonhosted.org/packages/07/e5/b10a979d1d565d54410afc87499b16c96b4a181af46e7645ab4831b1088c/pyzmq-26.4.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:4448c9e55bf8329fa1dcedd32f661bf611214fa70c8e02fee4347bc589d39a84", size = 1507352, upload-time = "2025-04-04T12:03:52.473Z" }, + { url = "https://files.pythonhosted.org/packages/ab/58/5a23db84507ab9c01c04b1232a7a763be66e992aa2e66498521bbbc72a71/pyzmq-26.4.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:e07dde3647afb084d985310d067a3efa6efad0621ee10826f2cb2f9a31b89d2f", size = 1406834, upload-time = "2025-04-04T12:03:54Z" }, + { url = "https://files.pythonhosted.org/packages/22/74/aaa837b331580c13b79ac39396601fb361454ee184ca85e8861914769b99/pyzmq-26.4.0-cp312-cp312-win32.whl", hash = "sha256:ba034a32ecf9af72adfa5ee383ad0fd4f4e38cdb62b13624278ef768fe5b5b44", size = 577992, upload-time = "2025-04-04T12:03:55.815Z" }, + { url = "https://files.pythonhosted.org/packages/30/0f/55f8c02c182856743b82dde46b2dc3e314edda7f1098c12a8227eeda0833/pyzmq-26.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:056a97aab4064f526ecb32f4343917a4022a5d9efb6b9df990ff72e1879e40be", size = 640466, upload-time = "2025-04-04T12:03:57.231Z" }, + { url = "https://files.pythonhosted.org/packages/e4/29/073779afc3ef6f830b8de95026ef20b2d1ec22d0324d767748d806e57379/pyzmq-26.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:2f23c750e485ce1eb639dbd576d27d168595908aa2d60b149e2d9e34c9df40e0", size = 556342, upload-time = "2025-04-04T12:03:59.218Z" }, + { url = "https://files.pythonhosted.org/packages/d7/20/fb2c92542488db70f833b92893769a569458311a76474bda89dc4264bd18/pyzmq-26.4.0-cp313-cp313-macosx_10_15_universal2.whl", hash = "sha256:c43fac689880f5174d6fc864857d1247fe5cfa22b09ed058a344ca92bf5301e3", size = 1339484, upload-time = "2025-04-04T12:04:00.671Z" }, + { url = "https://files.pythonhosted.org/packages/58/29/2f06b9cabda3a6ea2c10f43e67ded3e47fc25c54822e2506dfb8325155d4/pyzmq-26.4.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:902aca7eba477657c5fb81c808318460328758e8367ecdd1964b6330c73cae43", size = 666106, upload-time = "2025-04-04T12:04:02.366Z" }, + { url = "https://files.pythonhosted.org/packages/77/e4/dcf62bd29e5e190bd21bfccaa4f3386e01bf40d948c239239c2f1e726729/pyzmq-26.4.0-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e5e48a830bfd152fe17fbdeaf99ac5271aa4122521bf0d275b6b24e52ef35eb6", size = 902056, upload-time = "2025-04-04T12:04:03.919Z" }, + { url = "https://files.pythonhosted.org/packages/1a/cf/b36b3d7aea236087d20189bec1a87eeb2b66009731d7055e5c65f845cdba/pyzmq-26.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:31be2b6de98c824c06f5574331f805707c667dc8f60cb18580b7de078479891e", size = 860148, upload-time = "2025-04-04T12:04:05.581Z" }, + { url = "https://files.pythonhosted.org/packages/18/a6/f048826bc87528c208e90604c3bf573801e54bd91e390cbd2dfa860e82dc/pyzmq-26.4.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:6332452034be001bbf3206ac59c0d2a7713de5f25bb38b06519fc6967b7cf771", size = 855983, upload-time = "2025-04-04T12:04:07.096Z" }, + { url = "https://files.pythonhosted.org/packages/0a/27/454d34ab6a1d9772a36add22f17f6b85baf7c16e14325fa29e7202ca8ee8/pyzmq-26.4.0-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:da8c0f5dd352136853e6a09b1b986ee5278dfddfebd30515e16eae425c872b30", size = 1197274, upload-time = "2025-04-04T12:04:08.523Z" }, + { url = "https://files.pythonhosted.org/packages/f4/3d/7abfeab6b83ad38aa34cbd57c6fc29752c391e3954fd12848bd8d2ec0df6/pyzmq-26.4.0-cp313-cp313-musllinux_1_1_i686.whl", hash = "sha256:f4ccc1a0a2c9806dda2a2dd118a3b7b681e448f3bb354056cad44a65169f6d86", size = 1507120, upload-time = "2025-04-04T12:04:10.58Z" }, + { url = "https://files.pythonhosted.org/packages/13/ff/bc8d21dbb9bc8705126e875438a1969c4f77e03fc8565d6901c7933a3d01/pyzmq-26.4.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:1c0b5fceadbab461578daf8d1dcc918ebe7ddd2952f748cf30c7cf2de5d51101", size = 1406738, upload-time = "2025-04-04T12:04:12.509Z" }, + { url = "https://files.pythonhosted.org/packages/f5/5d/d4cd85b24de71d84d81229e3bbb13392b2698432cf8fdcea5afda253d587/pyzmq-26.4.0-cp313-cp313-win32.whl", hash = "sha256:28e2b0ff5ba4b3dd11062d905682bad33385cfa3cc03e81abd7f0822263e6637", size = 577826, upload-time = "2025-04-04T12:04:14.289Z" }, + { url = "https://files.pythonhosted.org/packages/c6/6c/f289c1789d7bb6e5a3b3bef7b2a55089b8561d17132be7d960d3ff33b14e/pyzmq-26.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:23ecc9d241004c10e8b4f49d12ac064cd7000e1643343944a10df98e57bc544b", size = 640406, upload-time = "2025-04-04T12:04:15.757Z" }, + { url = "https://files.pythonhosted.org/packages/b3/99/676b8851cb955eb5236a0c1e9ec679ea5ede092bf8bf2c8a68d7e965cac3/pyzmq-26.4.0-cp313-cp313-win_arm64.whl", hash = "sha256:1edb0385c7f025045d6e0f759d4d3afe43c17a3d898914ec6582e6f464203c08", size = 556216, upload-time = "2025-04-04T12:04:17.212Z" }, + { url = "https://files.pythonhosted.org/packages/65/c2/1fac340de9d7df71efc59d9c50fc7a635a77b103392d1842898dd023afcb/pyzmq-26.4.0-cp313-cp313t-macosx_10_15_universal2.whl", hash = "sha256:93a29e882b2ba1db86ba5dd5e88e18e0ac6b627026c5cfbec9983422011b82d4", size = 1333769, upload-time = "2025-04-04T12:04:18.665Z" }, + { url = "https://files.pythonhosted.org/packages/5c/c7/6c03637e8d742c3b00bec4f5e4cd9d1c01b2f3694c6f140742e93ca637ed/pyzmq-26.4.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb45684f276f57110bb89e4300c00f1233ca631f08f5f42528a5c408a79efc4a", size = 658826, upload-time = "2025-04-04T12:04:20.405Z" }, + { url = "https://files.pythonhosted.org/packages/a5/97/a8dca65913c0f78e0545af2bb5078aebfc142ca7d91cdaffa1fbc73e5dbd/pyzmq-26.4.0-cp313-cp313t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f72073e75260cb301aad4258ad6150fa7f57c719b3f498cb91e31df16784d89b", size = 891650, upload-time = "2025-04-04T12:04:22.413Z" }, + { url = "https://files.pythonhosted.org/packages/7d/7e/f63af1031eb060bf02d033732b910fe48548dcfdbe9c785e9f74a6cc6ae4/pyzmq-26.4.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:be37e24b13026cfedd233bcbbccd8c0bcd2fdd186216094d095f60076201538d", size = 849776, upload-time = "2025-04-04T12:04:23.959Z" }, + { url = "https://files.pythonhosted.org/packages/f6/fa/1a009ce582802a895c0d5fe9413f029c940a0a8ee828657a3bb0acffd88b/pyzmq-26.4.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:237b283044934d26f1eeff4075f751b05d2f3ed42a257fc44386d00df6a270cf", size = 842516, upload-time = "2025-04-04T12:04:25.449Z" }, + { url = "https://files.pythonhosted.org/packages/6e/bc/f88b0bad0f7a7f500547d71e99f10336f2314e525d4ebf576a1ea4a1d903/pyzmq-26.4.0-cp313-cp313t-musllinux_1_1_aarch64.whl", hash = "sha256:b30f862f6768b17040929a68432c8a8be77780317f45a353cb17e423127d250c", size = 1189183, upload-time = "2025-04-04T12:04:27.035Z" }, + { url = "https://files.pythonhosted.org/packages/d9/8c/db446a3dd9cf894406dec2e61eeffaa3c07c3abb783deaebb9812c4af6a5/pyzmq-26.4.0-cp313-cp313t-musllinux_1_1_i686.whl", hash = "sha256:c80fcd3504232f13617c6ab501124d373e4895424e65de8b72042333316f64a8", size = 1495501, upload-time = "2025-04-04T12:04:28.833Z" }, + { url = "https://files.pythonhosted.org/packages/05/4c/bf3cad0d64c3214ac881299c4562b815f05d503bccc513e3fd4fdc6f67e4/pyzmq-26.4.0-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:26a2a7451606b87f67cdeca2c2789d86f605da08b4bd616b1a9981605ca3a364", size = 1395540, upload-time = "2025-04-04T12:04:30.562Z" }, + { url = "https://files.pythonhosted.org/packages/47/03/96004704a84095f493be8d2b476641f5c967b269390173f85488a53c1c13/pyzmq-26.4.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:98d948288ce893a2edc5ec3c438fe8de2daa5bbbd6e2e865ec5f966e237084ba", size = 834408, upload-time = "2025-04-04T12:05:04.569Z" }, + { url = "https://files.pythonhosted.org/packages/e4/7f/68d8f3034a20505db7551cb2260248be28ca66d537a1ac9a257913d778e4/pyzmq-26.4.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a9f34f5c9e0203ece706a1003f1492a56c06c0632d86cb77bcfe77b56aacf27b", size = 569580, upload-time = "2025-04-04T12:05:06.283Z" }, + { url = "https://files.pythonhosted.org/packages/9b/a6/2b0d6801ec33f2b2a19dd8d02e0a1e8701000fec72926e6787363567d30c/pyzmq-26.4.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:80c9b48aef586ff8b698359ce22f9508937c799cc1d2c9c2f7c95996f2300c94", size = 798250, upload-time = "2025-04-04T12:05:07.88Z" }, + { url = "https://files.pythonhosted.org/packages/96/2a/0322b3437de977dcac8a755d6d7ce6ec5238de78e2e2d9353730b297cf12/pyzmq-26.4.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3f2a5b74009fd50b53b26f65daff23e9853e79aa86e0aa08a53a7628d92d44a", size = 756758, upload-time = "2025-04-04T12:05:09.483Z" }, + { url = "https://files.pythonhosted.org/packages/c2/33/43704f066369416d65549ccee366cc19153911bec0154da7c6b41fca7e78/pyzmq-26.4.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:61c5f93d7622d84cb3092d7f6398ffc77654c346545313a3737e266fc11a3beb", size = 555371, upload-time = "2025-04-04T12:05:11.062Z" }, + { url = "https://files.pythonhosted.org/packages/04/52/a70fcd5592715702248306d8e1729c10742c2eac44529984413b05c68658/pyzmq-26.4.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:4478b14cb54a805088299c25a79f27eaf530564a7a4f72bf432a040042b554eb", size = 834405, upload-time = "2025-04-04T12:05:13.3Z" }, + { url = "https://files.pythonhosted.org/packages/25/f9/1a03f1accff16b3af1a6fa22cbf7ced074776abbf688b2e9cb4629700c62/pyzmq-26.4.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a28ac29c60e4ba84b5f58605ace8ad495414a724fe7aceb7cf06cd0598d04e1", size = 569578, upload-time = "2025-04-04T12:05:15.36Z" }, + { url = "https://files.pythonhosted.org/packages/76/0c/3a633acd762aa6655fcb71fa841907eae0ab1e8582ff494b137266de341d/pyzmq-26.4.0-pp311-pypy311_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:43b03c1ceea27c6520124f4fb2ba9c647409b9abdf9a62388117148a90419494", size = 798248, upload-time = "2025-04-04T12:05:17.376Z" }, + { url = "https://files.pythonhosted.org/packages/cd/cc/6c99c84aa60ac1cc56747bed6be8ce6305b9b861d7475772e7a25ce019d3/pyzmq-26.4.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7731abd23a782851426d4e37deb2057bf9410848a4459b5ede4fe89342e687a9", size = 756757, upload-time = "2025-04-04T12:05:19.19Z" }, + { url = "https://files.pythonhosted.org/packages/13/9c/d8073bd898eb896e94c679abe82e47506e2b750eb261cf6010ced869797c/pyzmq-26.4.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:a222ad02fbe80166b0526c038776e8042cd4e5f0dec1489a006a1df47e9040e0", size = 555371, upload-time = "2025-04-04T12:05:20.702Z" }, +] + +[[package]] +name = "referencing" +version = "0.36.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "attrs" }, + { name = "rpds-py" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/2f/db/98b5c277be99dd18bfd91dd04e1b759cad18d1a338188c936e92f921c7e2/referencing-0.36.2.tar.gz", hash = "sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa", size = 74744, upload-time = "2025-01-25T08:48:16.138Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c1/b1/3baf80dc6d2b7bc27a95a67752d0208e410351e3feb4eb78de5f77454d8d/referencing-0.36.2-py3-none-any.whl", hash = "sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0", size = 26775, upload-time = "2025-01-25T08:48:14.241Z" }, +] + +[[package]] +name = "regex" +version = "2024.11.6" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/8e/5f/bd69653fbfb76cf8604468d3b4ec4c403197144c7bfe0e6a5fc9e02a07cb/regex-2024.11.6.tar.gz", hash = "sha256:7ab159b063c52a0333c884e4679f8d7a85112ee3078fe3d9004b2dd875585519", size = 399494, upload-time = "2024-11-06T20:12:31.635Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/95/3c/4651f6b130c6842a8f3df82461a8950f923925db8b6961063e82744bddcc/regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91", size = 482674, upload-time = "2024-11-06T20:08:57.575Z" }, + { url = "https://files.pythonhosted.org/packages/15/51/9f35d12da8434b489c7b7bffc205c474a0a9432a889457026e9bc06a297a/regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0", size = 287684, upload-time = "2024-11-06T20:08:59.787Z" }, + { url = "https://files.pythonhosted.org/packages/bd/18/b731f5510d1b8fb63c6b6d3484bfa9a59b84cc578ac8b5172970e05ae07c/regex-2024.11.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:164d8b7b3b4bcb2068b97428060b2a53be050085ef94eca7f240e7947f1b080e", size = 284589, upload-time = "2024-11-06T20:09:01.896Z" }, + { url = "https://files.pythonhosted.org/packages/78/a2/6dd36e16341ab95e4c6073426561b9bfdeb1a9c9b63ab1b579c2e96cb105/regex-2024.11.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d3660c82f209655a06b587d55e723f0b813d3a7db2e32e5e7dc64ac2a9e86fde", size = 782511, upload-time = "2024-11-06T20:09:04.062Z" }, + { url = "https://files.pythonhosted.org/packages/1b/2b/323e72d5d2fd8de0d9baa443e1ed70363ed7e7b2fb526f5950c5cb99c364/regex-2024.11.6-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d22326fcdef5e08c154280b71163ced384b428343ae16a5ab2b3354aed12436e", size = 821149, upload-time = "2024-11-06T20:09:06.237Z" }, + { url = "https://files.pythonhosted.org/packages/90/30/63373b9ea468fbef8a907fd273e5c329b8c9535fee36fc8dba5fecac475d/regex-2024.11.6-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f1ac758ef6aebfc8943560194e9fd0fa18bcb34d89fd8bd2af18183afd8da3a2", size = 809707, upload-time = "2024-11-06T20:09:07.715Z" }, + { url = "https://files.pythonhosted.org/packages/f2/98/26d3830875b53071f1f0ae6d547f1d98e964dd29ad35cbf94439120bb67a/regex-2024.11.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:997d6a487ff00807ba810e0f8332c18b4eb8d29463cfb7c820dc4b6e7562d0cf", size = 781702, upload-time = "2024-11-06T20:09:10.101Z" }, + { url = "https://files.pythonhosted.org/packages/87/55/eb2a068334274db86208ab9d5599ffa63631b9f0f67ed70ea7c82a69bbc8/regex-2024.11.6-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:02a02d2bb04fec86ad61f3ea7f49c015a0681bf76abb9857f945d26159d2968c", size = 771976, upload-time = "2024-11-06T20:09:11.566Z" }, + { url = "https://files.pythonhosted.org/packages/74/c0/be707bcfe98254d8f9d2cff55d216e946f4ea48ad2fd8cf1428f8c5332ba/regex-2024.11.6-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f02f93b92358ee3f78660e43b4b0091229260c5d5c408d17d60bf26b6c900e86", size = 697397, upload-time = "2024-11-06T20:09:13.119Z" }, + { url = "https://files.pythonhosted.org/packages/49/dc/bb45572ceb49e0f6509f7596e4ba7031f6819ecb26bc7610979af5a77f45/regex-2024.11.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:06eb1be98df10e81ebaded73fcd51989dcf534e3c753466e4b60c4697a003b67", size = 768726, upload-time = "2024-11-06T20:09:14.85Z" }, + { url = "https://files.pythonhosted.org/packages/5a/db/f43fd75dc4c0c2d96d0881967897926942e935d700863666f3c844a72ce6/regex-2024.11.6-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:040df6fe1a5504eb0f04f048e6d09cd7c7110fef851d7c567a6b6e09942feb7d", size = 775098, upload-time = "2024-11-06T20:09:16.504Z" }, + { url = "https://files.pythonhosted.org/packages/99/d7/f94154db29ab5a89d69ff893159b19ada89e76b915c1293e98603d39838c/regex-2024.11.6-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:fdabbfc59f2c6edba2a6622c647b716e34e8e3867e0ab975412c5c2f79b82da2", size = 839325, upload-time = "2024-11-06T20:09:18.698Z" }, + { url = "https://files.pythonhosted.org/packages/f7/17/3cbfab1f23356fbbf07708220ab438a7efa1e0f34195bf857433f79f1788/regex-2024.11.6-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:8447d2d39b5abe381419319f942de20b7ecd60ce86f16a23b0698f22e1b70008", size = 843277, upload-time = "2024-11-06T20:09:21.725Z" }, + { url = "https://files.pythonhosted.org/packages/7e/f2/48b393b51900456155de3ad001900f94298965e1cad1c772b87f9cfea011/regex-2024.11.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:da8f5fc57d1933de22a9e23eec290a0d8a5927a5370d24bda9a6abe50683fe62", size = 773197, upload-time = "2024-11-06T20:09:24.092Z" }, + { url = "https://files.pythonhosted.org/packages/45/3f/ef9589aba93e084cd3f8471fded352826dcae8489b650d0b9b27bc5bba8a/regex-2024.11.6-cp310-cp310-win32.whl", hash = "sha256:b489578720afb782f6ccf2840920f3a32e31ba28a4b162e13900c3e6bd3f930e", size = 261714, upload-time = "2024-11-06T20:09:26.36Z" }, + { url = "https://files.pythonhosted.org/packages/42/7e/5f1b92c8468290c465fd50c5318da64319133231415a8aa6ea5ab995a815/regex-2024.11.6-cp310-cp310-win_amd64.whl", hash = "sha256:5071b2093e793357c9d8b2929dfc13ac5f0a6c650559503bb81189d0a3814519", size = 274042, upload-time = "2024-11-06T20:09:28.762Z" }, + { url = "https://files.pythonhosted.org/packages/58/58/7e4d9493a66c88a7da6d205768119f51af0f684fe7be7bac8328e217a52c/regex-2024.11.6-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:5478c6962ad548b54a591778e93cd7c456a7a29f8eca9c49e4f9a806dcc5d638", size = 482669, upload-time = "2024-11-06T20:09:31.064Z" }, + { url = "https://files.pythonhosted.org/packages/34/4c/8f8e631fcdc2ff978609eaeef1d6994bf2f028b59d9ac67640ed051f1218/regex-2024.11.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2c89a8cc122b25ce6945f0423dc1352cb9593c68abd19223eebbd4e56612c5b7", size = 287684, upload-time = "2024-11-06T20:09:32.915Z" }, + { url = "https://files.pythonhosted.org/packages/c5/1b/f0e4d13e6adf866ce9b069e191f303a30ab1277e037037a365c3aad5cc9c/regex-2024.11.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:94d87b689cdd831934fa3ce16cc15cd65748e6d689f5d2b8f4f4df2065c9fa20", size = 284589, upload-time = "2024-11-06T20:09:35.504Z" }, + { url = "https://files.pythonhosted.org/packages/25/4d/ab21047f446693887f25510887e6820b93f791992994f6498b0318904d4a/regex-2024.11.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1062b39a0a2b75a9c694f7a08e7183a80c63c0d62b301418ffd9c35f55aaa114", size = 792121, upload-time = "2024-11-06T20:09:37.701Z" }, + { url = "https://files.pythonhosted.org/packages/45/ee/c867e15cd894985cb32b731d89576c41a4642a57850c162490ea34b78c3b/regex-2024.11.6-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:167ed4852351d8a750da48712c3930b031f6efdaa0f22fa1933716bfcd6bf4a3", size = 831275, upload-time = "2024-11-06T20:09:40.371Z" }, + { url = "https://files.pythonhosted.org/packages/b3/12/b0f480726cf1c60f6536fa5e1c95275a77624f3ac8fdccf79e6727499e28/regex-2024.11.6-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2d548dafee61f06ebdb584080621f3e0c23fff312f0de1afc776e2a2ba99a74f", size = 818257, upload-time = "2024-11-06T20:09:43.059Z" }, + { url = "https://files.pythonhosted.org/packages/bf/ce/0d0e61429f603bac433910d99ef1a02ce45a8967ffbe3cbee48599e62d88/regex-2024.11.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f2a19f302cd1ce5dd01a9099aaa19cae6173306d1302a43b627f62e21cf18ac0", size = 792727, upload-time = "2024-11-06T20:09:48.19Z" }, + { url = "https://files.pythonhosted.org/packages/e4/c1/243c83c53d4a419c1556f43777ccb552bccdf79d08fda3980e4e77dd9137/regex-2024.11.6-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bec9931dfb61ddd8ef2ebc05646293812cb6b16b60cf7c9511a832b6f1854b55", size = 780667, upload-time = "2024-11-06T20:09:49.828Z" }, + { url = "https://files.pythonhosted.org/packages/c5/f4/75eb0dd4ce4b37f04928987f1d22547ddaf6c4bae697623c1b05da67a8aa/regex-2024.11.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:9714398225f299aa85267fd222f7142fcb5c769e73d7733344efc46f2ef5cf89", size = 776963, upload-time = "2024-11-06T20:09:51.819Z" }, + { url = "https://files.pythonhosted.org/packages/16/5d/95c568574e630e141a69ff8a254c2f188b4398e813c40d49228c9bbd9875/regex-2024.11.6-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:202eb32e89f60fc147a41e55cb086db2a3f8cb82f9a9a88440dcfc5d37faae8d", size = 784700, upload-time = "2024-11-06T20:09:53.982Z" }, + { url = "https://files.pythonhosted.org/packages/8e/b5/f8495c7917f15cc6fee1e7f395e324ec3e00ab3c665a7dc9d27562fd5290/regex-2024.11.6-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:4181b814e56078e9b00427ca358ec44333765f5ca1b45597ec7446d3a1ef6e34", size = 848592, upload-time = "2024-11-06T20:09:56.222Z" }, + { url = "https://files.pythonhosted.org/packages/1c/80/6dd7118e8cb212c3c60b191b932dc57db93fb2e36fb9e0e92f72a5909af9/regex-2024.11.6-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:068376da5a7e4da51968ce4c122a7cd31afaaec4fccc7856c92f63876e57b51d", size = 852929, upload-time = "2024-11-06T20:09:58.642Z" }, + { url = "https://files.pythonhosted.org/packages/11/9b/5a05d2040297d2d254baf95eeeb6df83554e5e1df03bc1a6687fc4ba1f66/regex-2024.11.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ac10f2c4184420d881a3475fb2c6f4d95d53a8d50209a2500723d831036f7c45", size = 781213, upload-time = "2024-11-06T20:10:00.867Z" }, + { url = "https://files.pythonhosted.org/packages/26/b7/b14e2440156ab39e0177506c08c18accaf2b8932e39fb092074de733d868/regex-2024.11.6-cp311-cp311-win32.whl", hash = "sha256:c36f9b6f5f8649bb251a5f3f66564438977b7ef8386a52460ae77e6070d309d9", size = 261734, upload-time = "2024-11-06T20:10:03.361Z" }, + { url = "https://files.pythonhosted.org/packages/80/32/763a6cc01d21fb3819227a1cc3f60fd251c13c37c27a73b8ff4315433a8e/regex-2024.11.6-cp311-cp311-win_amd64.whl", hash = "sha256:02e28184be537f0e75c1f9b2f8847dc51e08e6e171c6bde130b2687e0c33cf60", size = 274052, upload-time = "2024-11-06T20:10:05.179Z" }, + { url = "https://files.pythonhosted.org/packages/ba/30/9a87ce8336b172cc232a0db89a3af97929d06c11ceaa19d97d84fa90a8f8/regex-2024.11.6-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:52fb28f528778f184f870b7cf8f225f5eef0a8f6e3778529bdd40c7b3920796a", size = 483781, upload-time = "2024-11-06T20:10:07.07Z" }, + { url = "https://files.pythonhosted.org/packages/01/e8/00008ad4ff4be8b1844786ba6636035f7ef926db5686e4c0f98093612add/regex-2024.11.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:fdd6028445d2460f33136c55eeb1f601ab06d74cb3347132e1c24250187500d9", size = 288455, upload-time = "2024-11-06T20:10:09.117Z" }, + { url = "https://files.pythonhosted.org/packages/60/85/cebcc0aff603ea0a201667b203f13ba75d9fc8668fab917ac5b2de3967bc/regex-2024.11.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:805e6b60c54bf766b251e94526ebad60b7de0c70f70a4e6210ee2891acb70bf2", size = 284759, upload-time = "2024-11-06T20:10:11.155Z" }, + { url = "https://files.pythonhosted.org/packages/94/2b/701a4b0585cb05472a4da28ee28fdfe155f3638f5e1ec92306d924e5faf0/regex-2024.11.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b85c2530be953a890eaffde05485238f07029600e8f098cdf1848d414a8b45e4", size = 794976, upload-time = "2024-11-06T20:10:13.24Z" }, + { url = "https://files.pythonhosted.org/packages/4b/bf/fa87e563bf5fee75db8915f7352e1887b1249126a1be4813837f5dbec965/regex-2024.11.6-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bb26437975da7dc36b7efad18aa9dd4ea569d2357ae6b783bf1118dabd9ea577", size = 833077, upload-time = "2024-11-06T20:10:15.37Z" }, + { url = "https://files.pythonhosted.org/packages/a1/56/7295e6bad94b047f4d0834e4779491b81216583c00c288252ef625c01d23/regex-2024.11.6-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:abfa5080c374a76a251ba60683242bc17eeb2c9818d0d30117b4486be10c59d3", size = 823160, upload-time = "2024-11-06T20:10:19.027Z" }, + { url = "https://files.pythonhosted.org/packages/fb/13/e3b075031a738c9598c51cfbc4c7879e26729c53aa9cca59211c44235314/regex-2024.11.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b7fa6606c2881c1db9479b0eaa11ed5dfa11c8d60a474ff0e095099f39d98e", size = 796896, upload-time = "2024-11-06T20:10:21.85Z" }, + { url = "https://files.pythonhosted.org/packages/24/56/0b3f1b66d592be6efec23a795b37732682520b47c53da5a32c33ed7d84e3/regex-2024.11.6-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0c32f75920cf99fe6b6c539c399a4a128452eaf1af27f39bce8909c9a3fd8cbe", size = 783997, upload-time = "2024-11-06T20:10:24.329Z" }, + { url = "https://files.pythonhosted.org/packages/f9/a1/eb378dada8b91c0e4c5f08ffb56f25fcae47bf52ad18f9b2f33b83e6d498/regex-2024.11.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:982e6d21414e78e1f51cf595d7f321dcd14de1f2881c5dc6a6e23bbbbd68435e", size = 781725, upload-time = "2024-11-06T20:10:28.067Z" }, + { url = "https://files.pythonhosted.org/packages/83/f2/033e7dec0cfd6dda93390089864732a3409246ffe8b042e9554afa9bff4e/regex-2024.11.6-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:a7c2155f790e2fb448faed6dd241386719802296ec588a8b9051c1f5c481bc29", size = 789481, upload-time = "2024-11-06T20:10:31.612Z" }, + { url = "https://files.pythonhosted.org/packages/83/23/15d4552ea28990a74e7696780c438aadd73a20318c47e527b47a4a5a596d/regex-2024.11.6-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:149f5008d286636e48cd0b1dd65018548944e495b0265b45e1bffecce1ef7f39", size = 852896, upload-time = "2024-11-06T20:10:34.054Z" }, + { url = "https://files.pythonhosted.org/packages/e3/39/ed4416bc90deedbfdada2568b2cb0bc1fdb98efe11f5378d9892b2a88f8f/regex-2024.11.6-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:e5364a4502efca094731680e80009632ad6624084aff9a23ce8c8c6820de3e51", size = 860138, upload-time = "2024-11-06T20:10:36.142Z" }, + { url = "https://files.pythonhosted.org/packages/93/2d/dd56bb76bd8e95bbce684326302f287455b56242a4f9c61f1bc76e28360e/regex-2024.11.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0a86e7eeca091c09e021db8eb72d54751e527fa47b8d5787caf96d9831bd02ad", size = 787692, upload-time = "2024-11-06T20:10:38.394Z" }, + { url = "https://files.pythonhosted.org/packages/0b/55/31877a249ab7a5156758246b9c59539abbeba22461b7d8adc9e8475ff73e/regex-2024.11.6-cp312-cp312-win32.whl", hash = "sha256:32f9a4c643baad4efa81d549c2aadefaeba12249b2adc5af541759237eee1c54", size = 262135, upload-time = "2024-11-06T20:10:40.367Z" }, + { url = "https://files.pythonhosted.org/packages/38/ec/ad2d7de49a600cdb8dd78434a1aeffe28b9d6fc42eb36afab4a27ad23384/regex-2024.11.6-cp312-cp312-win_amd64.whl", hash = "sha256:a93c194e2df18f7d264092dc8539b8ffb86b45b899ab976aa15d48214138e81b", size = 273567, upload-time = "2024-11-06T20:10:43.467Z" }, + { url = "https://files.pythonhosted.org/packages/90/73/bcb0e36614601016552fa9344544a3a2ae1809dc1401b100eab02e772e1f/regex-2024.11.6-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:a6ba92c0bcdf96cbf43a12c717eae4bc98325ca3730f6b130ffa2e3c3c723d84", size = 483525, upload-time = "2024-11-06T20:10:45.19Z" }, + { url = "https://files.pythonhosted.org/packages/0f/3f/f1a082a46b31e25291d830b369b6b0c5576a6f7fb89d3053a354c24b8a83/regex-2024.11.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:525eab0b789891ac3be914d36893bdf972d483fe66551f79d3e27146191a37d4", size = 288324, upload-time = "2024-11-06T20:10:47.177Z" }, + { url = "https://files.pythonhosted.org/packages/09/c9/4e68181a4a652fb3ef5099e077faf4fd2a694ea6e0f806a7737aff9e758a/regex-2024.11.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:086a27a0b4ca227941700e0b31425e7a28ef1ae8e5e05a33826e17e47fbfdba0", size = 284617, upload-time = "2024-11-06T20:10:49.312Z" }, + { url = "https://files.pythonhosted.org/packages/fc/fd/37868b75eaf63843165f1d2122ca6cb94bfc0271e4428cf58c0616786dce/regex-2024.11.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bde01f35767c4a7899b7eb6e823b125a64de314a8ee9791367c9a34d56af18d0", size = 795023, upload-time = "2024-11-06T20:10:51.102Z" }, + { url = "https://files.pythonhosted.org/packages/c4/7c/d4cd9c528502a3dedb5c13c146e7a7a539a3853dc20209c8e75d9ba9d1b2/regex-2024.11.6-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b583904576650166b3d920d2bcce13971f6f9e9a396c673187f49811b2769dc7", size = 833072, upload-time = "2024-11-06T20:10:52.926Z" }, + { url = "https://files.pythonhosted.org/packages/4f/db/46f563a08f969159c5a0f0e722260568425363bea43bb7ae370becb66a67/regex-2024.11.6-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1c4de13f06a0d54fa0d5ab1b7138bfa0d883220965a29616e3ea61b35d5f5fc7", size = 823130, upload-time = "2024-11-06T20:10:54.828Z" }, + { url = "https://files.pythonhosted.org/packages/db/60/1eeca2074f5b87df394fccaa432ae3fc06c9c9bfa97c5051aed70e6e00c2/regex-2024.11.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3cde6e9f2580eb1665965ce9bf17ff4952f34f5b126beb509fee8f4e994f143c", size = 796857, upload-time = "2024-11-06T20:10:56.634Z" }, + { url = "https://files.pythonhosted.org/packages/10/db/ac718a08fcee981554d2f7bb8402f1faa7e868c1345c16ab1ebec54b0d7b/regex-2024.11.6-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0d7f453dca13f40a02b79636a339c5b62b670141e63efd511d3f8f73fba162b3", size = 784006, upload-time = "2024-11-06T20:10:59.369Z" }, + { url = "https://files.pythonhosted.org/packages/c2/41/7da3fe70216cea93144bf12da2b87367590bcf07db97604edeea55dac9ad/regex-2024.11.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:59dfe1ed21aea057a65c6b586afd2a945de04fc7db3de0a6e3ed5397ad491b07", size = 781650, upload-time = "2024-11-06T20:11:02.042Z" }, + { url = "https://files.pythonhosted.org/packages/a7/d5/880921ee4eec393a4752e6ab9f0fe28009435417c3102fc413f3fe81c4e5/regex-2024.11.6-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:b97c1e0bd37c5cd7902e65f410779d39eeda155800b65fc4d04cc432efa9bc6e", size = 789545, upload-time = "2024-11-06T20:11:03.933Z" }, + { url = "https://files.pythonhosted.org/packages/dc/96/53770115e507081122beca8899ab7f5ae28ae790bfcc82b5e38976df6a77/regex-2024.11.6-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:f9d1e379028e0fc2ae3654bac3cbbef81bf3fd571272a42d56c24007979bafb6", size = 853045, upload-time = "2024-11-06T20:11:06.497Z" }, + { url = "https://files.pythonhosted.org/packages/31/d3/1372add5251cc2d44b451bd94f43b2ec78e15a6e82bff6a290ef9fd8f00a/regex-2024.11.6-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:13291b39131e2d002a7940fb176e120bec5145f3aeb7621be6534e46251912c4", size = 860182, upload-time = "2024-11-06T20:11:09.06Z" }, + { url = "https://files.pythonhosted.org/packages/ed/e3/c446a64984ea9f69982ba1a69d4658d5014bc7a0ea468a07e1a1265db6e2/regex-2024.11.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4f51f88c126370dcec4908576c5a627220da6c09d0bff31cfa89f2523843316d", size = 787733, upload-time = "2024-11-06T20:11:11.256Z" }, + { url = "https://files.pythonhosted.org/packages/2b/f1/e40c8373e3480e4f29f2692bd21b3e05f296d3afebc7e5dcf21b9756ca1c/regex-2024.11.6-cp313-cp313-win32.whl", hash = "sha256:63b13cfd72e9601125027202cad74995ab26921d8cd935c25f09c630436348ff", size = 262122, upload-time = "2024-11-06T20:11:13.161Z" }, + { url = "https://files.pythonhosted.org/packages/45/94/bc295babb3062a731f52621cdc992d123111282e291abaf23faa413443ea/regex-2024.11.6-cp313-cp313-win_amd64.whl", hash = "sha256:2b3361af3198667e99927da8b84c1b010752fa4b1115ee30beaa332cabc3ef1a", size = 273545, upload-time = "2024-11-06T20:11:15Z" }, +] + +[[package]] +name = "requests" +version = "2.32.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "certifi" }, + { name = "charset-normalizer" }, + { name = "idna" }, + { name = "urllib3" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/63/70/2bf7780ad2d390a8d301ad0b550f1581eadbd9a20f896afe06353c2a2913/requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760", size = 131218, upload-time = "2024-05-29T15:37:49.536Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f9/9b/335f9764261e915ed497fcdeb11df5dfd6f7bf257d4a6a2a686d80da4d54/requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6", size = 64928, upload-time = "2024-05-29T15:37:47.027Z" }, +] + +[[package]] +name = "rfc3339-validator" +version = "0.1.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "six" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/28/ea/a9387748e2d111c3c2b275ba970b735e04e15cdb1eb30693b6b5708c4dbd/rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b", size = 5513, upload-time = "2021-05-12T16:37:54.178Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7b/44/4e421b96b67b2daff264473f7465db72fbdf36a07e05494f50300cc7b0c6/rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa", size = 3490, upload-time = "2021-05-12T16:37:52.536Z" }, +] + +[[package]] +name = "rfc3986-validator" +version = "0.1.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/da/88/f270de456dd7d11dcc808abfa291ecdd3f45ff44e3b549ffa01b126464d0/rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055", size = 6760, upload-time = "2019-10-28T16:00:19.144Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9e/51/17023c0f8f1869d8806b979a2bffa3f861f26a3f1a66b094288323fba52f/rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9", size = 4242, upload-time = "2019-10-28T16:00:13.976Z" }, +] + +[[package]] +name = "rouge-score" +version = "0.1.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "absl-py" }, + { name = "nltk" }, + { name = "numpy" }, + { name = "six" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/e2/c5/9136736c37022a6ad27fea38f3111eb8f02fe75d067f9a985cc358653102/rouge_score-0.1.2.tar.gz", hash = "sha256:c7d4da2683e68c9abf0135ef915d63a46643666f848e558a1b9f7ead17ff0f04", size = 17400, upload-time = "2022-07-22T22:46:22.909Z" } + +[[package]] +name = "rpds-py" +version = "0.25.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/8c/a6/60184b7fc00dd3ca80ac635dd5b8577d444c57e8e8742cecabfacb829921/rpds_py-0.25.1.tar.gz", hash = "sha256:8960b6dac09b62dac26e75d7e2c4a22efb835d827a7278c34f72b2b84fa160e3", size = 27304, upload-time = "2025-05-21T12:46:12.502Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/cb/09/e1158988e50905b7f8306487a576b52d32aa9a87f79f7ab24ee8db8b6c05/rpds_py-0.25.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:f4ad628b5174d5315761b67f212774a32f5bad5e61396d38108bd801c0a8f5d9", size = 373140, upload-time = "2025-05-21T12:42:38.834Z" }, + { url = "https://files.pythonhosted.org/packages/e0/4b/a284321fb3c45c02fc74187171504702b2934bfe16abab89713eedfe672e/rpds_py-0.25.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8c742af695f7525e559c16f1562cf2323db0e3f0fbdcabdf6865b095256b2d40", size = 358860, upload-time = "2025-05-21T12:42:41.394Z" }, + { url = "https://files.pythonhosted.org/packages/4e/46/8ac9811150c75edeae9fc6fa0e70376c19bc80f8e1f7716981433905912b/rpds_py-0.25.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:605ffe7769e24b1800b4d024d24034405d9404f0bc2f55b6db3362cd34145a6f", size = 386179, upload-time = "2025-05-21T12:42:43.213Z" }, + { url = "https://files.pythonhosted.org/packages/f3/ec/87eb42d83e859bce91dcf763eb9f2ab117142a49c9c3d17285440edb5b69/rpds_py-0.25.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ccc6f3ddef93243538be76f8e47045b4aad7a66a212cd3a0f23e34469473d36b", size = 400282, upload-time = "2025-05-21T12:42:44.92Z" }, + { url = "https://files.pythonhosted.org/packages/68/c8/2a38e0707d7919c8c78e1d582ab15cf1255b380bcb086ca265b73ed6db23/rpds_py-0.25.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f70316f760174ca04492b5ab01be631a8ae30cadab1d1081035136ba12738cfa", size = 521824, upload-time = "2025-05-21T12:42:46.856Z" }, + { url = "https://files.pythonhosted.org/packages/5e/2c/6a92790243569784dde84d144bfd12bd45102f4a1c897d76375076d730ab/rpds_py-0.25.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e1dafef8df605fdb46edcc0bf1573dea0d6d7b01ba87f85cd04dc855b2b4479e", size = 411644, upload-time = "2025-05-21T12:42:48.838Z" }, + { url = "https://files.pythonhosted.org/packages/eb/76/66b523ffc84cf47db56efe13ae7cf368dee2bacdec9d89b9baca5e2e6301/rpds_py-0.25.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0701942049095741a8aeb298a31b203e735d1c61f4423511d2b1a41dcd8a16da", size = 386955, upload-time = "2025-05-21T12:42:50.835Z" }, + { url = "https://files.pythonhosted.org/packages/b6/b9/a362d7522feaa24dc2b79847c6175daa1c642817f4a19dcd5c91d3e2c316/rpds_py-0.25.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e87798852ae0b37c88babb7f7bbbb3e3fecc562a1c340195b44c7e24d403e380", size = 421039, upload-time = "2025-05-21T12:42:52.348Z" }, + { url = "https://files.pythonhosted.org/packages/0f/c4/b5b6f70b4d719b6584716889fd3413102acf9729540ee76708d56a76fa97/rpds_py-0.25.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:3bcce0edc1488906c2d4c75c94c70a0417e83920dd4c88fec1078c94843a6ce9", size = 563290, upload-time = "2025-05-21T12:42:54.404Z" }, + { url = "https://files.pythonhosted.org/packages/87/a3/2e6e816615c12a8f8662c9d8583a12eb54c52557521ef218cbe3095a8afa/rpds_py-0.25.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e2f6a2347d3440ae789505693a02836383426249d5293541cd712e07e7aecf54", size = 592089, upload-time = "2025-05-21T12:42:55.976Z" }, + { url = "https://files.pythonhosted.org/packages/c0/08/9b8e1050e36ce266135994e2c7ec06e1841f1c64da739daeb8afe9cb77a4/rpds_py-0.25.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:4fd52d3455a0aa997734f3835cbc4c9f32571345143960e7d7ebfe7b5fbfa3b2", size = 558400, upload-time = "2025-05-21T12:42:58.032Z" }, + { url = "https://files.pythonhosted.org/packages/f2/df/b40b8215560b8584baccd839ff5c1056f3c57120d79ac41bd26df196da7e/rpds_py-0.25.1-cp310-cp310-win32.whl", hash = "sha256:3f0b1798cae2bbbc9b9db44ee068c556d4737911ad53a4e5093d09d04b3bbc24", size = 219741, upload-time = "2025-05-21T12:42:59.479Z" }, + { url = "https://files.pythonhosted.org/packages/10/99/e4c58be18cf5d8b40b8acb4122bc895486230b08f978831b16a3916bd24d/rpds_py-0.25.1-cp310-cp310-win_amd64.whl", hash = "sha256:3ebd879ab996537fc510a2be58c59915b5dd63bccb06d1ef514fee787e05984a", size = 231553, upload-time = "2025-05-21T12:43:01.425Z" }, + { url = "https://files.pythonhosted.org/packages/95/e1/df13fe3ddbbea43567e07437f097863b20c99318ae1f58a0fe389f763738/rpds_py-0.25.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:5f048bbf18b1f9120685c6d6bb70cc1a52c8cc11bdd04e643d28d3be0baf666d", size = 373341, upload-time = "2025-05-21T12:43:02.978Z" }, + { url = "https://files.pythonhosted.org/packages/7a/58/deef4d30fcbcbfef3b6d82d17c64490d5c94585a2310544ce8e2d3024f83/rpds_py-0.25.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4fbb0dbba559959fcb5d0735a0f87cdbca9e95dac87982e9b95c0f8f7ad10255", size = 359111, upload-time = "2025-05-21T12:43:05.128Z" }, + { url = "https://files.pythonhosted.org/packages/bb/7e/39f1f4431b03e96ebaf159e29a0f82a77259d8f38b2dd474721eb3a8ac9b/rpds_py-0.25.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4ca54b9cf9d80b4016a67a0193ebe0bcf29f6b0a96f09db942087e294d3d4c2", size = 386112, upload-time = "2025-05-21T12:43:07.13Z" }, + { url = "https://files.pythonhosted.org/packages/db/e7/847068a48d63aec2ae695a1646089620b3b03f8ccf9f02c122ebaf778f3c/rpds_py-0.25.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:1ee3e26eb83d39b886d2cb6e06ea701bba82ef30a0de044d34626ede51ec98b0", size = 400362, upload-time = "2025-05-21T12:43:08.693Z" }, + { url = "https://files.pythonhosted.org/packages/3b/3d/9441d5db4343d0cee759a7ab4d67420a476cebb032081763de934719727b/rpds_py-0.25.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:89706d0683c73a26f76a5315d893c051324d771196ae8b13e6ffa1ffaf5e574f", size = 522214, upload-time = "2025-05-21T12:43:10.694Z" }, + { url = "https://files.pythonhosted.org/packages/a2/ec/2cc5b30d95f9f1a432c79c7a2f65d85e52812a8f6cbf8768724571710786/rpds_py-0.25.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c2013ee878c76269c7b557a9a9c042335d732e89d482606990b70a839635feb7", size = 411491, upload-time = "2025-05-21T12:43:12.739Z" }, + { url = "https://files.pythonhosted.org/packages/dc/6c/44695c1f035077a017dd472b6a3253553780837af2fac9b6ac25f6a5cb4d/rpds_py-0.25.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:45e484db65e5380804afbec784522de84fa95e6bb92ef1bd3325d33d13efaebd", size = 386978, upload-time = "2025-05-21T12:43:14.25Z" }, + { url = "https://files.pythonhosted.org/packages/b1/74/b4357090bb1096db5392157b4e7ed8bb2417dc7799200fcbaee633a032c9/rpds_py-0.25.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:48d64155d02127c249695abb87d39f0faf410733428d499867606be138161d65", size = 420662, upload-time = "2025-05-21T12:43:15.8Z" }, + { url = "https://files.pythonhosted.org/packages/26/dd/8cadbebf47b96e59dfe8b35868e5c38a42272699324e95ed522da09d3a40/rpds_py-0.25.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:048893e902132fd6548a2e661fb38bf4896a89eea95ac5816cf443524a85556f", size = 563385, upload-time = "2025-05-21T12:43:17.78Z" }, + { url = "https://files.pythonhosted.org/packages/c3/ea/92960bb7f0e7a57a5ab233662f12152085c7dc0d5468534c65991a3d48c9/rpds_py-0.25.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:0317177b1e8691ab5879f4f33f4b6dc55ad3b344399e23df2e499de7b10a548d", size = 592047, upload-time = "2025-05-21T12:43:19.457Z" }, + { url = "https://files.pythonhosted.org/packages/61/ad/71aabc93df0d05dabcb4b0c749277881f8e74548582d96aa1bf24379493a/rpds_py-0.25.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:bffcf57826d77a4151962bf1701374e0fc87f536e56ec46f1abdd6a903354042", size = 557863, upload-time = "2025-05-21T12:43:21.69Z" }, + { url = "https://files.pythonhosted.org/packages/93/0f/89df0067c41f122b90b76f3660028a466eb287cbe38efec3ea70e637ca78/rpds_py-0.25.1-cp311-cp311-win32.whl", hash = "sha256:cda776f1967cb304816173b30994faaf2fd5bcb37e73118a47964a02c348e1bc", size = 219627, upload-time = "2025-05-21T12:43:23.311Z" }, + { url = "https://files.pythonhosted.org/packages/7c/8d/93b1a4c1baa903d0229374d9e7aa3466d751f1d65e268c52e6039c6e338e/rpds_py-0.25.1-cp311-cp311-win_amd64.whl", hash = "sha256:dc3c1ff0abc91444cd20ec643d0f805df9a3661fcacf9c95000329f3ddf268a4", size = 231603, upload-time = "2025-05-21T12:43:25.145Z" }, + { url = "https://files.pythonhosted.org/packages/cb/11/392605e5247bead2f23e6888e77229fbd714ac241ebbebb39a1e822c8815/rpds_py-0.25.1-cp311-cp311-win_arm64.whl", hash = "sha256:5a3ddb74b0985c4387719fc536faced33cadf2172769540c62e2a94b7b9be1c4", size = 223967, upload-time = "2025-05-21T12:43:26.566Z" }, + { url = "https://files.pythonhosted.org/packages/7f/81/28ab0408391b1dc57393653b6a0cf2014cc282cc2909e4615e63e58262be/rpds_py-0.25.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:b5ffe453cde61f73fea9430223c81d29e2fbf412a6073951102146c84e19e34c", size = 364647, upload-time = "2025-05-21T12:43:28.559Z" }, + { url = "https://files.pythonhosted.org/packages/2c/9a/7797f04cad0d5e56310e1238434f71fc6939d0bc517192a18bb99a72a95f/rpds_py-0.25.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:115874ae5e2fdcfc16b2aedc95b5eef4aebe91b28e7e21951eda8a5dc0d3461b", size = 350454, upload-time = "2025-05-21T12:43:30.615Z" }, + { url = "https://files.pythonhosted.org/packages/69/3c/93d2ef941b04898011e5d6eaa56a1acf46a3b4c9f4b3ad1bbcbafa0bee1f/rpds_py-0.25.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a714bf6e5e81b0e570d01f56e0c89c6375101b8463999ead3a93a5d2a4af91fa", size = 389665, upload-time = "2025-05-21T12:43:32.629Z" }, + { url = "https://files.pythonhosted.org/packages/c1/57/ad0e31e928751dde8903a11102559628d24173428a0f85e25e187defb2c1/rpds_py-0.25.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:35634369325906bcd01577da4c19e3b9541a15e99f31e91a02d010816b49bfda", size = 403873, upload-time = "2025-05-21T12:43:34.576Z" }, + { url = "https://files.pythonhosted.org/packages/16/ad/c0c652fa9bba778b4f54980a02962748479dc09632e1fd34e5282cf2556c/rpds_py-0.25.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d4cb2b3ddc16710548801c6fcc0cfcdeeff9dafbc983f77265877793f2660309", size = 525866, upload-time = "2025-05-21T12:43:36.123Z" }, + { url = "https://files.pythonhosted.org/packages/2a/39/3e1839bc527e6fcf48d5fec4770070f872cdee6c6fbc9b259932f4e88a38/rpds_py-0.25.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9ceca1cf097ed77e1a51f1dbc8d174d10cb5931c188a4505ff9f3e119dfe519b", size = 416886, upload-time = "2025-05-21T12:43:38.034Z" }, + { url = "https://files.pythonhosted.org/packages/7a/95/dd6b91cd4560da41df9d7030a038298a67d24f8ca38e150562644c829c48/rpds_py-0.25.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c2cd1a4b0c2b8c5e31ffff50d09f39906fe351389ba143c195566056c13a7ea", size = 390666, upload-time = "2025-05-21T12:43:40.065Z" }, + { url = "https://files.pythonhosted.org/packages/64/48/1be88a820e7494ce0a15c2d390ccb7c52212370badabf128e6a7bb4cb802/rpds_py-0.25.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1de336a4b164c9188cb23f3703adb74a7623ab32d20090d0e9bf499a2203ad65", size = 425109, upload-time = "2025-05-21T12:43:42.263Z" }, + { url = "https://files.pythonhosted.org/packages/cf/07/3e2a17927ef6d7720b9949ec1b37d1e963b829ad0387f7af18d923d5cfa5/rpds_py-0.25.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:9fca84a15333e925dd59ce01da0ffe2ffe0d6e5d29a9eeba2148916d1824948c", size = 567244, upload-time = "2025-05-21T12:43:43.846Z" }, + { url = "https://files.pythonhosted.org/packages/d2/e5/76cf010998deccc4f95305d827847e2eae9c568099c06b405cf96384762b/rpds_py-0.25.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:88ec04afe0c59fa64e2f6ea0dd9657e04fc83e38de90f6de201954b4d4eb59bd", size = 596023, upload-time = "2025-05-21T12:43:45.932Z" }, + { url = "https://files.pythonhosted.org/packages/52/9a/df55efd84403736ba37a5a6377b70aad0fd1cb469a9109ee8a1e21299a1c/rpds_py-0.25.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:a8bd2f19e312ce3e1d2c635618e8a8d8132892bb746a7cf74780a489f0f6cdcb", size = 561634, upload-time = "2025-05-21T12:43:48.263Z" }, + { url = "https://files.pythonhosted.org/packages/ab/aa/dc3620dd8db84454aaf9374bd318f1aa02578bba5e567f5bf6b79492aca4/rpds_py-0.25.1-cp312-cp312-win32.whl", hash = "sha256:e5e2f7280d8d0d3ef06f3ec1b4fd598d386cc6f0721e54f09109a8132182fbfe", size = 222713, upload-time = "2025-05-21T12:43:49.897Z" }, + { url = "https://files.pythonhosted.org/packages/a3/7f/7cef485269a50ed5b4e9bae145f512d2a111ca638ae70cc101f661b4defd/rpds_py-0.25.1-cp312-cp312-win_amd64.whl", hash = "sha256:db58483f71c5db67d643857404da360dce3573031586034b7d59f245144cc192", size = 235280, upload-time = "2025-05-21T12:43:51.893Z" }, + { url = "https://files.pythonhosted.org/packages/99/f2/c2d64f6564f32af913bf5f3f7ae41c7c263c5ae4c4e8f1a17af8af66cd46/rpds_py-0.25.1-cp312-cp312-win_arm64.whl", hash = "sha256:6d50841c425d16faf3206ddbba44c21aa3310a0cebc3c1cdfc3e3f4f9f6f5728", size = 225399, upload-time = "2025-05-21T12:43:53.351Z" }, + { url = "https://files.pythonhosted.org/packages/2b/da/323848a2b62abe6a0fec16ebe199dc6889c5d0a332458da8985b2980dffe/rpds_py-0.25.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:659d87430a8c8c704d52d094f5ba6fa72ef13b4d385b7e542a08fc240cb4a559", size = 364498, upload-time = "2025-05-21T12:43:54.841Z" }, + { url = "https://files.pythonhosted.org/packages/1f/b4/4d3820f731c80fd0cd823b3e95b9963fec681ae45ba35b5281a42382c67d/rpds_py-0.25.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:68f6f060f0bbdfb0245267da014d3a6da9be127fe3e8cc4a68c6f833f8a23bb1", size = 350083, upload-time = "2025-05-21T12:43:56.428Z" }, + { url = "https://files.pythonhosted.org/packages/d5/b1/3a8ee1c9d480e8493619a437dec685d005f706b69253286f50f498cbdbcf/rpds_py-0.25.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:083a9513a33e0b92cf6e7a6366036c6bb43ea595332c1ab5c8ae329e4bcc0a9c", size = 389023, upload-time = "2025-05-21T12:43:57.995Z" }, + { url = "https://files.pythonhosted.org/packages/3b/31/17293edcfc934dc62c3bf74a0cb449ecd549531f956b72287203e6880b87/rpds_py-0.25.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:816568614ecb22b18a010c7a12559c19f6fe993526af88e95a76d5a60b8b75fb", size = 403283, upload-time = "2025-05-21T12:43:59.546Z" }, + { url = "https://files.pythonhosted.org/packages/d1/ca/e0f0bc1a75a8925024f343258c8ecbd8828f8997ea2ac71e02f67b6f5299/rpds_py-0.25.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3c6564c0947a7f52e4792983f8e6cf9bac140438ebf81f527a21d944f2fd0a40", size = 524634, upload-time = "2025-05-21T12:44:01.087Z" }, + { url = "https://files.pythonhosted.org/packages/3e/03/5d0be919037178fff33a6672ffc0afa04ea1cfcb61afd4119d1b5280ff0f/rpds_py-0.25.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c4a128527fe415d73cf1f70a9a688d06130d5810be69f3b553bf7b45e8acf79", size = 416233, upload-time = "2025-05-21T12:44:02.604Z" }, + { url = "https://files.pythonhosted.org/packages/05/7c/8abb70f9017a231c6c961a8941403ed6557664c0913e1bf413cbdc039e75/rpds_py-0.25.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a49e1d7a4978ed554f095430b89ecc23f42014a50ac385eb0c4d163ce213c325", size = 390375, upload-time = "2025-05-21T12:44:04.162Z" }, + { url = "https://files.pythonhosted.org/packages/7a/ac/a87f339f0e066b9535074a9f403b9313fd3892d4a164d5d5f5875ac9f29f/rpds_py-0.25.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d74ec9bc0e2feb81d3f16946b005748119c0f52a153f6db6a29e8cd68636f295", size = 424537, upload-time = "2025-05-21T12:44:06.175Z" }, + { url = "https://files.pythonhosted.org/packages/1f/8f/8d5c1567eaf8c8afe98a838dd24de5013ce6e8f53a01bd47fe8bb06b5533/rpds_py-0.25.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:3af5b4cc10fa41e5bc64e5c198a1b2d2864337f8fcbb9a67e747e34002ce812b", size = 566425, upload-time = "2025-05-21T12:44:08.242Z" }, + { url = "https://files.pythonhosted.org/packages/95/33/03016a6be5663b389c8ab0bbbcca68d9e96af14faeff0a04affcb587e776/rpds_py-0.25.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:79dc317a5f1c51fd9c6a0c4f48209c6b8526d0524a6904fc1076476e79b00f98", size = 595197, upload-time = "2025-05-21T12:44:10.449Z" }, + { url = "https://files.pythonhosted.org/packages/33/8d/da9f4d3e208c82fda311bff0cf0a19579afceb77cf456e46c559a1c075ba/rpds_py-0.25.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:1521031351865e0181bc585147624d66b3b00a84109b57fcb7a779c3ec3772cd", size = 561244, upload-time = "2025-05-21T12:44:12.387Z" }, + { url = "https://files.pythonhosted.org/packages/e2/b3/39d5dcf7c5f742ecd6dbc88f6f84ae54184b92f5f387a4053be2107b17f1/rpds_py-0.25.1-cp313-cp313-win32.whl", hash = "sha256:5d473be2b13600b93a5675d78f59e63b51b1ba2d0476893415dfbb5477e65b31", size = 222254, upload-time = "2025-05-21T12:44:14.261Z" }, + { url = "https://files.pythonhosted.org/packages/5f/19/2d6772c8eeb8302c5f834e6d0dfd83935a884e7c5ce16340c7eaf89ce925/rpds_py-0.25.1-cp313-cp313-win_amd64.whl", hash = "sha256:a7b74e92a3b212390bdce1d93da9f6488c3878c1d434c5e751cbc202c5e09500", size = 234741, upload-time = "2025-05-21T12:44:16.236Z" }, + { url = "https://files.pythonhosted.org/packages/5b/5a/145ada26cfaf86018d0eb304fe55eafdd4f0b6b84530246bb4a7c4fb5c4b/rpds_py-0.25.1-cp313-cp313-win_arm64.whl", hash = "sha256:dd326a81afe332ede08eb39ab75b301d5676802cdffd3a8f287a5f0b694dc3f5", size = 224830, upload-time = "2025-05-21T12:44:17.749Z" }, + { url = "https://files.pythonhosted.org/packages/4b/ca/d435844829c384fd2c22754ff65889c5c556a675d2ed9eb0e148435c6690/rpds_py-0.25.1-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:a58d1ed49a94d4183483a3ce0af22f20318d4a1434acee255d683ad90bf78129", size = 359668, upload-time = "2025-05-21T12:44:19.322Z" }, + { url = "https://files.pythonhosted.org/packages/1f/01/b056f21db3a09f89410d493d2f6614d87bb162499f98b649d1dbd2a81988/rpds_py-0.25.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:f251bf23deb8332823aef1da169d5d89fa84c89f67bdfb566c49dea1fccfd50d", size = 345649, upload-time = "2025-05-21T12:44:20.962Z" }, + { url = "https://files.pythonhosted.org/packages/e0/0f/e0d00dc991e3d40e03ca36383b44995126c36b3eafa0ccbbd19664709c88/rpds_py-0.25.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8dbd586bfa270c1103ece2109314dd423df1fa3d9719928b5d09e4840cec0d72", size = 384776, upload-time = "2025-05-21T12:44:22.516Z" }, + { url = "https://files.pythonhosted.org/packages/9f/a2/59374837f105f2ca79bde3c3cd1065b2f8c01678900924949f6392eab66d/rpds_py-0.25.1-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6d273f136e912aa101a9274c3145dcbddbe4bac560e77e6d5b3c9f6e0ed06d34", size = 395131, upload-time = "2025-05-21T12:44:24.147Z" }, + { url = "https://files.pythonhosted.org/packages/9c/dc/48e8d84887627a0fe0bac53f0b4631e90976fd5d35fff8be66b8e4f3916b/rpds_py-0.25.1-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:666fa7b1bd0a3810a7f18f6d3a25ccd8866291fbbc3c9b912b917a6715874bb9", size = 520942, upload-time = "2025-05-21T12:44:25.915Z" }, + { url = "https://files.pythonhosted.org/packages/7c/f5/ee056966aeae401913d37befeeab57a4a43a4f00099e0a20297f17b8f00c/rpds_py-0.25.1-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:921954d7fbf3fccc7de8f717799304b14b6d9a45bbeec5a8d7408ccbf531faf5", size = 411330, upload-time = "2025-05-21T12:44:27.638Z" }, + { url = "https://files.pythonhosted.org/packages/ab/74/b2cffb46a097cefe5d17f94ede7a174184b9d158a0aeb195f39f2c0361e8/rpds_py-0.25.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3d86373ff19ca0441ebeb696ef64cb58b8b5cbacffcda5a0ec2f3911732a194", size = 387339, upload-time = "2025-05-21T12:44:29.292Z" }, + { url = "https://files.pythonhosted.org/packages/7f/9a/0ff0b375dcb5161c2b7054e7d0b7575f1680127505945f5cabaac890bc07/rpds_py-0.25.1-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c8980cde3bb8575e7c956a530f2c217c1d6aac453474bf3ea0f9c89868b531b6", size = 418077, upload-time = "2025-05-21T12:44:30.877Z" }, + { url = "https://files.pythonhosted.org/packages/0d/a1/fda629bf20d6b698ae84c7c840cfb0e9e4200f664fc96e1f456f00e4ad6e/rpds_py-0.25.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:8eb8c84ecea987a2523e057c0d950bcb3f789696c0499290b8d7b3107a719d78", size = 562441, upload-time = "2025-05-21T12:44:32.541Z" }, + { url = "https://files.pythonhosted.org/packages/20/15/ce4b5257f654132f326f4acd87268e1006cc071e2c59794c5bdf4bebbb51/rpds_py-0.25.1-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:e43a005671a9ed5a650f3bc39e4dbccd6d4326b24fb5ea8be5f3a43a6f576c72", size = 590750, upload-time = "2025-05-21T12:44:34.557Z" }, + { url = "https://files.pythonhosted.org/packages/fb/ab/e04bf58a8d375aeedb5268edcc835c6a660ebf79d4384d8e0889439448b0/rpds_py-0.25.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:58f77c60956501a4a627749a6dcb78dac522f249dd96b5c9f1c6af29bfacfb66", size = 558891, upload-time = "2025-05-21T12:44:37.358Z" }, + { url = "https://files.pythonhosted.org/packages/90/82/cb8c6028a6ef6cd2b7991e2e4ced01c854b6236ecf51e81b64b569c43d73/rpds_py-0.25.1-cp313-cp313t-win32.whl", hash = "sha256:2cb9e5b5e26fc02c8a4345048cd9998c2aca7c2712bd1b36da0c72ee969a3523", size = 218718, upload-time = "2025-05-21T12:44:38.969Z" }, + { url = "https://files.pythonhosted.org/packages/b6/97/5a4b59697111c89477d20ba8a44df9ca16b41e737fa569d5ae8bff99e650/rpds_py-0.25.1-cp313-cp313t-win_amd64.whl", hash = "sha256:401ca1c4a20cc0510d3435d89c069fe0a9ae2ee6495135ac46bdd49ec0495763", size = 232218, upload-time = "2025-05-21T12:44:40.512Z" }, + { url = "https://files.pythonhosted.org/packages/78/ff/566ce53529b12b4f10c0a348d316bd766970b7060b4fd50f888be3b3b281/rpds_py-0.25.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b24bf3cd93d5b6ecfbedec73b15f143596c88ee249fa98cefa9a9dc9d92c6f28", size = 373931, upload-time = "2025-05-21T12:45:05.01Z" }, + { url = "https://files.pythonhosted.org/packages/83/5d/deba18503f7c7878e26aa696e97f051175788e19d5336b3b0e76d3ef9256/rpds_py-0.25.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:0eb90e94f43e5085623932b68840b6f379f26db7b5c2e6bcef3179bd83c9330f", size = 359074, upload-time = "2025-05-21T12:45:06.714Z" }, + { url = "https://files.pythonhosted.org/packages/0d/74/313415c5627644eb114df49c56a27edba4d40cfd7c92bd90212b3604ca84/rpds_py-0.25.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d50e4864498a9ab639d6d8854b25e80642bd362ff104312d9770b05d66e5fb13", size = 387255, upload-time = "2025-05-21T12:45:08.669Z" }, + { url = "https://files.pythonhosted.org/packages/8c/c8/c723298ed6338963d94e05c0f12793acc9b91d04ed7c4ba7508e534b7385/rpds_py-0.25.1-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7c9409b47ba0650544b0bb3c188243b83654dfe55dcc173a86832314e1a6a35d", size = 400714, upload-time = "2025-05-21T12:45:10.39Z" }, + { url = "https://files.pythonhosted.org/packages/33/8a/51f1f6aa653c2e110ed482ef2ae94140d56c910378752a1b483af11019ee/rpds_py-0.25.1-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:796ad874c89127c91970652a4ee8b00d56368b7e00d3477f4415fe78164c8000", size = 523105, upload-time = "2025-05-21T12:45:12.273Z" }, + { url = "https://files.pythonhosted.org/packages/c7/a4/7873d15c088ad3bff36910b29ceb0f178e4b3232c2adbe9198de68a41e63/rpds_py-0.25.1-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:85608eb70a659bf4c1142b2781083d4b7c0c4e2c90eff11856a9754e965b2540", size = 411499, upload-time = "2025-05-21T12:45:13.95Z" }, + { url = "https://files.pythonhosted.org/packages/90/f3/0ce1437befe1410766d11d08239333ac1b2d940f8a64234ce48a7714669c/rpds_py-0.25.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4feb9211d15d9160bc85fa72fed46432cdc143eb9cf6d5ca377335a921ac37b", size = 387918, upload-time = "2025-05-21T12:45:15.649Z" }, + { url = "https://files.pythonhosted.org/packages/94/d4/5551247988b2a3566afb8a9dba3f1d4a3eea47793fd83000276c1a6c726e/rpds_py-0.25.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ccfa689b9246c48947d31dd9d8b16d89a0ecc8e0e26ea5253068efb6c542b76e", size = 421705, upload-time = "2025-05-21T12:45:17.788Z" }, + { url = "https://files.pythonhosted.org/packages/b0/25/5960f28f847bf736cc7ee3c545a7e1d2f3b5edaf82c96fb616c2f5ed52d0/rpds_py-0.25.1-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:3c5b317ecbd8226887994852e85de562f7177add602514d4ac40f87de3ae45a8", size = 564489, upload-time = "2025-05-21T12:45:19.466Z" }, + { url = "https://files.pythonhosted.org/packages/02/66/1c99884a0d44e8c2904d3c4ec302f995292d5dde892c3bf7685ac1930146/rpds_py-0.25.1-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:454601988aab2c6e8fd49e7634c65476b2b919647626208e376afcd22019eeb8", size = 592557, upload-time = "2025-05-21T12:45:21.362Z" }, + { url = "https://files.pythonhosted.org/packages/55/ae/4aeac84ebeffeac14abb05b3bb1d2f728d00adb55d3fb7b51c9fa772e760/rpds_py-0.25.1-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:1c0c434a53714358532d13539272db75a5ed9df75a4a090a753ac7173ec14e11", size = 558691, upload-time = "2025-05-21T12:45:23.084Z" }, + { url = "https://files.pythonhosted.org/packages/41/b3/728a08ff6f5e06fe3bb9af2e770e9d5fd20141af45cff8dfc62da4b2d0b3/rpds_py-0.25.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:f73ce1512e04fbe2bc97836e89830d6b4314c171587a99688082d090f934d20a", size = 231651, upload-time = "2025-05-21T12:45:24.72Z" }, + { url = "https://files.pythonhosted.org/packages/49/74/48f3df0715a585cbf5d34919c9c757a4c92c1a9eba059f2d334e72471f70/rpds_py-0.25.1-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ee86d81551ec68a5c25373c5643d343150cc54672b5e9a0cafc93c1870a53954", size = 374208, upload-time = "2025-05-21T12:45:26.306Z" }, + { url = "https://files.pythonhosted.org/packages/55/b0/9b01bb11ce01ec03d05e627249cc2c06039d6aa24ea5a22a39c312167c10/rpds_py-0.25.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:89c24300cd4a8e4a51e55c31a8ff3918e6651b241ee8876a42cc2b2a078533ba", size = 359262, upload-time = "2025-05-21T12:45:28.322Z" }, + { url = "https://files.pythonhosted.org/packages/a9/eb/5395621618f723ebd5116c53282052943a726dba111b49cd2071f785b665/rpds_py-0.25.1-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:771c16060ff4e79584dc48902a91ba79fd93eade3aa3a12d6d2a4aadaf7d542b", size = 387366, upload-time = "2025-05-21T12:45:30.42Z" }, + { url = "https://files.pythonhosted.org/packages/68/73/3d51442bdb246db619d75039a50ea1cf8b5b4ee250c3e5cd5c3af5981cd4/rpds_py-0.25.1-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:785ffacd0ee61c3e60bdfde93baa6d7c10d86f15655bd706c89da08068dc5038", size = 400759, upload-time = "2025-05-21T12:45:32.516Z" }, + { url = "https://files.pythonhosted.org/packages/b7/4c/3a32d5955d7e6cb117314597bc0f2224efc798428318b13073efe306512a/rpds_py-0.25.1-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2a40046a529cc15cef88ac5ab589f83f739e2d332cb4d7399072242400ed68c9", size = 523128, upload-time = "2025-05-21T12:45:34.396Z" }, + { url = "https://files.pythonhosted.org/packages/be/95/1ffccd3b0bb901ae60b1dd4b1be2ab98bb4eb834cd9b15199888f5702f7b/rpds_py-0.25.1-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:85fc223d9c76cabe5d0bff82214459189720dc135db45f9f66aa7cffbf9ff6c1", size = 411597, upload-time = "2025-05-21T12:45:36.164Z" }, + { url = "https://files.pythonhosted.org/packages/ef/6d/6e6cd310180689db8b0d2de7f7d1eabf3fb013f239e156ae0d5a1a85c27f/rpds_py-0.25.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b0be9965f93c222fb9b4cc254235b3b2b215796c03ef5ee64f995b1b69af0762", size = 388053, upload-time = "2025-05-21T12:45:38.45Z" }, + { url = "https://files.pythonhosted.org/packages/4a/87/ec4186b1fe6365ced6fa470960e68fc7804bafbe7c0cf5a36237aa240efa/rpds_py-0.25.1-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8378fa4a940f3fb509c081e06cb7f7f2adae8cf46ef258b0e0ed7519facd573e", size = 421821, upload-time = "2025-05-21T12:45:40.732Z" }, + { url = "https://files.pythonhosted.org/packages/7a/60/84f821f6bf4e0e710acc5039d91f8f594fae0d93fc368704920d8971680d/rpds_py-0.25.1-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:33358883a4490287e67a2c391dfaea4d9359860281db3292b6886bf0be3d8692", size = 564534, upload-time = "2025-05-21T12:45:42.672Z" }, + { url = "https://files.pythonhosted.org/packages/41/3a/bc654eb15d3b38f9330fe0f545016ba154d89cdabc6177b0295910cd0ebe/rpds_py-0.25.1-pp311-pypy311_pp73-musllinux_1_2_i686.whl", hash = "sha256:1d1fadd539298e70cac2f2cb36f5b8a65f742b9b9f1014dd4ea1f7785e2470bf", size = 592674, upload-time = "2025-05-21T12:45:44.533Z" }, + { url = "https://files.pythonhosted.org/packages/2e/ba/31239736f29e4dfc7a58a45955c5db852864c306131fd6320aea214d5437/rpds_py-0.25.1-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:9a46c2fb2545e21181445515960006e85d22025bd2fe6db23e76daec6eb689fe", size = 558781, upload-time = "2025-05-21T12:45:46.281Z" }, +] + +[[package]] +name = "safetensors" +version = "0.5.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/71/7e/2d5d6ee7b40c0682315367ec7475693d110f512922d582fef1bd4a63adc3/safetensors-0.5.3.tar.gz", hash = "sha256:b6b0d6ecacec39a4fdd99cc19f4576f5219ce858e6fd8dbe7609df0b8dc56965", size = 67210, upload-time = "2025-02-26T09:15:13.155Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/18/ae/88f6c49dbd0cc4da0e08610019a3c78a7d390879a919411a410a1876d03a/safetensors-0.5.3-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:bd20eb133db8ed15b40110b7c00c6df51655a2998132193de2f75f72d99c7073", size = 436917, upload-time = "2025-02-26T09:15:03.702Z" }, + { url = "https://files.pythonhosted.org/packages/b8/3b/11f1b4a2f5d2ab7da34ecc062b0bc301f2be024d110a6466726bec8c055c/safetensors-0.5.3-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:21d01c14ff6c415c485616b8b0bf961c46b3b343ca59110d38d744e577f9cce7", size = 418419, upload-time = "2025-02-26T09:15:01.765Z" }, + { url = "https://files.pythonhosted.org/packages/5d/9a/add3e6fef267658075c5a41573c26d42d80c935cdc992384dfae435feaef/safetensors-0.5.3-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:11bce6164887cd491ca75c2326a113ba934be596e22b28b1742ce27b1d076467", size = 459493, upload-time = "2025-02-26T09:14:51.812Z" }, + { url = "https://files.pythonhosted.org/packages/df/5c/bf2cae92222513cc23b3ff85c4a1bb2811a2c3583ac0f8e8d502751de934/safetensors-0.5.3-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4a243be3590bc3301c821da7a18d87224ef35cbd3e5f5727e4e0728b8172411e", size = 472400, upload-time = "2025-02-26T09:14:53.549Z" }, + { url = "https://files.pythonhosted.org/packages/58/11/7456afb740bd45782d0f4c8e8e1bb9e572f1bf82899fb6ace58af47b4282/safetensors-0.5.3-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8bd84b12b1670a6f8e50f01e28156422a2bc07fb16fc4e98bded13039d688a0d", size = 522891, upload-time = "2025-02-26T09:14:55.717Z" }, + { url = "https://files.pythonhosted.org/packages/57/3d/fe73a9d2ace487e7285f6e157afee2383bd1ddb911b7cb44a55cf812eae3/safetensors-0.5.3-cp38-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:391ac8cab7c829452175f871fcaf414aa1e292b5448bd02620f675a7f3e7abb9", size = 537694, upload-time = "2025-02-26T09:14:57.036Z" }, + { url = "https://files.pythonhosted.org/packages/a6/f8/dae3421624fcc87a89d42e1898a798bc7ff72c61f38973a65d60df8f124c/safetensors-0.5.3-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cead1fa41fc54b1e61089fa57452e8834f798cb1dc7a09ba3524f1eb08e0317a", size = 471642, upload-time = "2025-02-26T09:15:00.544Z" }, + { url = "https://files.pythonhosted.org/packages/ce/20/1fbe16f9b815f6c5a672f5b760951e20e17e43f67f231428f871909a37f6/safetensors-0.5.3-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1077f3e94182d72618357b04b5ced540ceb71c8a813d3319f1aba448e68a770d", size = 502241, upload-time = "2025-02-26T09:14:58.303Z" }, + { url = "https://files.pythonhosted.org/packages/5f/18/8e108846b506487aa4629fe4116b27db65c3dde922de2c8e0cc1133f3f29/safetensors-0.5.3-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:799021e78287bac619c7b3f3606730a22da4cda27759ddf55d37c8db7511c74b", size = 638001, upload-time = "2025-02-26T09:15:05.79Z" }, + { url = "https://files.pythonhosted.org/packages/82/5a/c116111d8291af6c8c8a8b40628fe833b9db97d8141c2a82359d14d9e078/safetensors-0.5.3-cp38-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:df26da01aaac504334644e1b7642fa000bfec820e7cef83aeac4e355e03195ff", size = 734013, upload-time = "2025-02-26T09:15:07.892Z" }, + { url = "https://files.pythonhosted.org/packages/7d/ff/41fcc4d3b7de837963622e8610d998710705bbde9a8a17221d85e5d0baad/safetensors-0.5.3-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:32c3ef2d7af8b9f52ff685ed0bc43913cdcde135089ae322ee576de93eae5135", size = 670687, upload-time = "2025-02-26T09:15:09.979Z" }, + { url = "https://files.pythonhosted.org/packages/40/ad/2b113098e69c985a3d8fbda4b902778eae4a35b7d5188859b4a63d30c161/safetensors-0.5.3-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:37f1521be045e56fc2b54c606d4455573e717b2d887c579ee1dbba5f868ece04", size = 643147, upload-time = "2025-02-26T09:15:11.185Z" }, + { url = "https://files.pythonhosted.org/packages/0a/0c/95aeb51d4246bd9a3242d3d8349c1112b4ee7611a4b40f0c5c93b05f001d/safetensors-0.5.3-cp38-abi3-win32.whl", hash = "sha256:cfc0ec0846dcf6763b0ed3d1846ff36008c6e7290683b61616c4b040f6a54ace", size = 296677, upload-time = "2025-02-26T09:15:16.554Z" }, + { url = "https://files.pythonhosted.org/packages/69/e2/b011c38e5394c4c18fb5500778a55ec43ad6106126e74723ffaee246f56e/safetensors-0.5.3-cp38-abi3-win_amd64.whl", hash = "sha256:836cbbc320b47e80acd40e44c8682db0e8ad7123209f69b093def21ec7cafd11", size = 308878, upload-time = "2025-02-26T09:15:14.99Z" }, +] + +[[package]] +name = "send2trash" +version = "1.8.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/fd/3a/aec9b02217bb79b87bbc1a21bc6abc51e3d5dcf65c30487ac96c0908c722/Send2Trash-1.8.3.tar.gz", hash = "sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf", size = 17394, upload-time = "2024-04-07T00:01:09.267Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/40/b0/4562db6223154aa4e22f939003cb92514c79f3d4dccca3444253fd17f902/Send2Trash-1.8.3-py3-none-any.whl", hash = "sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9", size = 18072, upload-time = "2024-04-07T00:01:07.438Z" }, +] + +[[package]] +name = "sentry-sdk" +version = "2.29.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "certifi" }, + { name = "urllib3" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/22/67/d552a5f8e5a6a56b2feea6529e2d8ccd54349084c84176d5a1f7295044bc/sentry_sdk-2.29.1.tar.gz", hash = "sha256:8d4a0206b95fa5fe85e5e7517ed662e3888374bdc342c00e435e10e6d831aa6d", size = 325518, upload-time = "2025-05-19T14:27:38.512Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f0/e5/da07b0bd832cefd52d16f2b9bbbe31624d57552602c06631686b93ccb1bd/sentry_sdk-2.29.1-py2.py3-none-any.whl", hash = "sha256:90862fe0616ded4572da6c9dadb363121a1ae49a49e21c418f0634e9d10b4c19", size = 341553, upload-time = "2025-05-19T14:27:36.882Z" }, +] + +[[package]] +name = "setproctitle" +version = "1.3.6" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/9e/af/56efe21c53ac81ac87e000b15e60b3d8104224b4313b6eacac3597bd183d/setproctitle-1.3.6.tar.gz", hash = "sha256:c9f32b96c700bb384f33f7cf07954bb609d35dd82752cef57fb2ee0968409169", size = 26889, upload-time = "2025-04-29T13:35:00.184Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7d/db/8214810cae49e2e474ea741aaa7d6111486f27377e864f0eb6d297c9be56/setproctitle-1.3.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ebcf34b69df4ca0eabaaaf4a3d890f637f355fed00ba806f7ebdd2d040658c26", size = 17412, upload-time = "2025-04-29T13:32:38.795Z" }, + { url = "https://files.pythonhosted.org/packages/a4/45/909b0dcd68b16d2e58de0e861c0c0b67748ccc87ff9b59136e9710b528b1/setproctitle-1.3.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1aa1935aa2195b76f377e5cb018290376b7bf085f0b53f5a95c0c21011b74367", size = 11966, upload-time = "2025-04-29T13:32:41.289Z" }, + { url = "https://files.pythonhosted.org/packages/8a/f4/f1cd54fedae1cdacf1d1db833dc096bfb1f029451f60e68563e4c26ed2f7/setproctitle-1.3.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:13624d9925bb481bc0ccfbc7f533da38bfbfe6e80652314f789abc78c2e513bd", size = 31350, upload-time = "2025-04-29T13:32:43.013Z" }, + { url = "https://files.pythonhosted.org/packages/5a/5f/f159b22d286a349633d4090090b8e6632fb84575a64f189b68e70a613c65/setproctitle-1.3.6-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:97a138fa875c6f281df7720dac742259e85518135cd0e3551aba1c628103d853", size = 32704, upload-time = "2025-04-29T13:32:44.215Z" }, + { url = "https://files.pythonhosted.org/packages/9c/25/e5ea2673d951dafc04b6544d7b33dd9283733d715c8f40e93d39ae35d6a0/setproctitle-1.3.6-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c86e9e82bfab579327dbe9b82c71475165fbc8b2134d24f9a3b2edaf200a5c3d", size = 29833, upload-time = "2025-04-29T13:32:45.882Z" }, + { url = "https://files.pythonhosted.org/packages/67/2b/c3cbd4a4462c1143465d8c151f1d51bbfb418e60a96a754329d28d416575/setproctitle-1.3.6-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6af330ddc2ec05a99c3933ab3cba9365357c0b8470a7f2fa054ee4b0984f57d1", size = 30884, upload-time = "2025-04-29T13:32:47.515Z" }, + { url = "https://files.pythonhosted.org/packages/27/04/b43a622a9fbf0f216a50b523067d3b07739ede2106a7226223e33abf6659/setproctitle-1.3.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:109fc07b1cd6cef9c245b2028e3e98e038283342b220def311d0239179810dbe", size = 30798, upload-time = "2025-04-29T13:32:48.717Z" }, + { url = "https://files.pythonhosted.org/packages/41/60/8eb197b56b0a3110eef2a1d2ddb61b3f5809dbab9d975aa40c86e5d4b312/setproctitle-1.3.6-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:7df5fcc48588f82b6cc8073db069609ddd48a49b1e9734a20d0efb32464753c4", size = 29758, upload-time = "2025-04-29T13:32:50.3Z" }, + { url = "https://files.pythonhosted.org/packages/db/1d/c394322a5425c12f4ada0696eb6d194768752d4e3acaca0c9d593025feb4/setproctitle-1.3.6-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:2407955dc359d735a20ac6e797ad160feb33d529a2ac50695c11a1ec680eafab", size = 32157, upload-time = "2025-04-29T13:32:52.026Z" }, + { url = "https://files.pythonhosted.org/packages/e7/24/ce080682b144f057814efbe95daac09149e90f7689e2515897817a941686/setproctitle-1.3.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:38ca045626af693da042ac35d7332e7b9dbd52e6351d6973b310612e3acee6d6", size = 30291, upload-time = "2025-04-29T13:32:53.737Z" }, + { url = "https://files.pythonhosted.org/packages/a7/4f/4db265493567865428dcec376f8142a9c65d27c10c3ac915d173b4053afb/setproctitle-1.3.6-cp310-cp310-win32.whl", hash = "sha256:9483aa336687463f5497dd37a070094f3dff55e2c888994f8440fcf426a1a844", size = 11492, upload-time = "2025-04-29T13:32:55.271Z" }, + { url = "https://files.pythonhosted.org/packages/38/b0/64c3948f7957db44b4c5edfe9c197de493144dc915ddf95cf36aeca0dc52/setproctitle-1.3.6-cp310-cp310-win_amd64.whl", hash = "sha256:4efc91b437f6ff2578e89e3f17d010c0a0ff01736606473d082913ecaf7859ba", size = 12204, upload-time = "2025-04-29T13:32:56.711Z" }, + { url = "https://files.pythonhosted.org/packages/27/3b/8288d0cd969a63500dd62fc2c99ce6980f9909ccef0770ab1f86c361e0bf/setproctitle-1.3.6-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a1d856b0f4e4a33e31cdab5f50d0a14998f3a2d726a3fd5cb7c4d45a57b28d1b", size = 17412, upload-time = "2025-04-29T13:32:58.135Z" }, + { url = "https://files.pythonhosted.org/packages/39/37/43a5a3e25ca1048dbbf4db0d88d346226f5f1acd131bb8e660f4bfe2799f/setproctitle-1.3.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:50706b9c0eda55f7de18695bfeead5f28b58aa42fd5219b3b1692d554ecbc9ec", size = 11963, upload-time = "2025-04-29T13:32:59.17Z" }, + { url = "https://files.pythonhosted.org/packages/5b/47/f103c40e133154783c91a10ab08ac9fc410ed835aa85bcf7107cb882f505/setproctitle-1.3.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:af188f3305f0a65c3217c30c6d4c06891e79144076a91e8b454f14256acc7279", size = 31718, upload-time = "2025-04-29T13:33:00.36Z" }, + { url = "https://files.pythonhosted.org/packages/1f/13/7325dd1c008dd6c0ebd370ddb7505977054a87e406f142318e395031a792/setproctitle-1.3.6-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cce0ed8b3f64c71c140f0ec244e5fdf8ecf78ddf8d2e591d4a8b6aa1c1214235", size = 33027, upload-time = "2025-04-29T13:33:01.499Z" }, + { url = "https://files.pythonhosted.org/packages/0c/0a/6075bfea05a71379d77af98a9ac61163e8b6e5ef1ae58cd2b05871b2079c/setproctitle-1.3.6-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:70100e2087fe05359f249a0b5f393127b3a1819bf34dec3a3e0d4941138650c9", size = 30223, upload-time = "2025-04-29T13:33:03.259Z" }, + { url = "https://files.pythonhosted.org/packages/cc/41/fbf57ec52f4f0776193bd94334a841f0bc9d17e745f89c7790f336420c65/setproctitle-1.3.6-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1065ed36bd03a3fd4186d6c6de5f19846650b015789f72e2dea2d77be99bdca1", size = 31204, upload-time = "2025-04-29T13:33:04.455Z" }, + { url = "https://files.pythonhosted.org/packages/97/b5/f799fb7a00de29fb0ac1dfd015528dea425b9e31a8f1068a0b3df52d317f/setproctitle-1.3.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:4adf6a0013fe4e0844e3ba7583ec203ca518b9394c6cc0d3354df2bf31d1c034", size = 31181, upload-time = "2025-04-29T13:33:05.697Z" }, + { url = "https://files.pythonhosted.org/packages/b5/b7/81f101b612014ec61723436022c31146178813d6ca6b947f7b9c84e9daf4/setproctitle-1.3.6-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:eb7452849f6615871eabed6560ffedfe56bc8af31a823b6be4ce1e6ff0ab72c5", size = 30101, upload-time = "2025-04-29T13:33:07.223Z" }, + { url = "https://files.pythonhosted.org/packages/67/23/681232eed7640eab96719daa8647cc99b639e3daff5c287bd270ef179a73/setproctitle-1.3.6-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:a094b7ce455ca341b59a0f6ce6be2e11411ba6e2860b9aa3dbb37468f23338f4", size = 32438, upload-time = "2025-04-29T13:33:08.538Z" }, + { url = "https://files.pythonhosted.org/packages/19/f8/4d075a7bdc3609ac71535b849775812455e4c40aedfbf0778a6f123b1774/setproctitle-1.3.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ad1c2c2baaba62823a7f348f469a967ece0062140ca39e7a48e4bbb1f20d54c4", size = 30625, upload-time = "2025-04-29T13:33:09.707Z" }, + { url = "https://files.pythonhosted.org/packages/5f/73/a2a8259ebee166aee1ca53eead75de0e190b3ddca4f716e5c7470ebb7ef6/setproctitle-1.3.6-cp311-cp311-win32.whl", hash = "sha256:8050c01331135f77ec99d99307bfbc6519ea24d2f92964b06f3222a804a3ff1f", size = 11488, upload-time = "2025-04-29T13:33:10.953Z" }, + { url = "https://files.pythonhosted.org/packages/c9/15/52cf5e1ff0727d53704cfdde2858eaf237ce523b0b04db65faa84ff83e13/setproctitle-1.3.6-cp311-cp311-win_amd64.whl", hash = "sha256:9b73cf0fe28009a04a35bb2522e4c5b5176cc148919431dcb73fdbdfaab15781", size = 12201, upload-time = "2025-04-29T13:33:12.389Z" }, + { url = "https://files.pythonhosted.org/packages/8f/fb/99456fd94d4207c5f6c40746a048a33a52b4239cd7d9c8d4889e2210ec82/setproctitle-1.3.6-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:af44bb7a1af163806bbb679eb8432fa7b4fb6d83a5d403b541b675dcd3798638", size = 17399, upload-time = "2025-04-29T13:33:13.406Z" }, + { url = "https://files.pythonhosted.org/packages/d5/48/9699191fe6062827683c43bfa9caac33a2c89f8781dd8c7253fa3dba85fd/setproctitle-1.3.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3cca16fd055316a48f0debfcbfb6af7cea715429fc31515ab3fcac05abd527d8", size = 11966, upload-time = "2025-04-29T13:33:14.976Z" }, + { url = "https://files.pythonhosted.org/packages/33/03/b085d192b9ecb9c7ce6ad6ef30ecf4110b7f39430b58a56245569827fcf4/setproctitle-1.3.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea002088d5554fd75e619742cefc78b84a212ba21632e59931b3501f0cfc8f67", size = 32017, upload-time = "2025-04-29T13:33:16.163Z" }, + { url = "https://files.pythonhosted.org/packages/ae/68/c53162e645816f97212002111420d1b2f75bf6d02632e37e961dc2cd6d8b/setproctitle-1.3.6-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bb465dd5825356c1191a038a86ee1b8166e3562d6e8add95eec04ab484cfb8a2", size = 33419, upload-time = "2025-04-29T13:33:18.239Z" }, + { url = "https://files.pythonhosted.org/packages/ac/0d/119a45d15a816a6cf5ccc61b19729f82620095b27a47e0a6838216a95fae/setproctitle-1.3.6-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d2c8e20487b3b73c1fa72c56f5c89430617296cd380373e7af3a538a82d4cd6d", size = 30711, upload-time = "2025-04-29T13:33:19.571Z" }, + { url = "https://files.pythonhosted.org/packages/e3/fb/5e9b5068df9e9f31a722a775a5e8322a29a638eaaa3eac5ea7f0b35e6314/setproctitle-1.3.6-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0d6252098e98129a1decb59b46920d4eca17b0395f3d71b0d327d086fefe77d", size = 31742, upload-time = "2025-04-29T13:33:21.172Z" }, + { url = "https://files.pythonhosted.org/packages/35/88/54de1e73e8fce87d587889c7eedb48fc4ee2bbe4e4ca6331690d03024f86/setproctitle-1.3.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:cf355fbf0d4275d86f9f57be705d8e5eaa7f8ddb12b24ced2ea6cbd68fdb14dc", size = 31925, upload-time = "2025-04-29T13:33:22.427Z" }, + { url = "https://files.pythonhosted.org/packages/f3/01/65948d7badd66e63e3db247b923143da142790fa293830fdecf832712c2d/setproctitle-1.3.6-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:e288f8a162d663916060beb5e8165a8551312b08efee9cf68302687471a6545d", size = 30981, upload-time = "2025-04-29T13:33:23.739Z" }, + { url = "https://files.pythonhosted.org/packages/22/20/c495e61786f1d38d5dc340b9d9077fee9be3dfc7e89f515afe12e1526dbc/setproctitle-1.3.6-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:b2e54f4a2dc6edf0f5ea5b1d0a608d2af3dcb5aa8c8eeab9c8841b23e1b054fe", size = 33209, upload-time = "2025-04-29T13:33:24.915Z" }, + { url = "https://files.pythonhosted.org/packages/98/3f/a457b8550fbd34d5b482fe20b8376b529e76bf1fbf9a474a6d9a641ab4ad/setproctitle-1.3.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b6f4abde9a2946f57e8daaf1160b2351bcf64274ef539e6675c1d945dbd75e2a", size = 31587, upload-time = "2025-04-29T13:33:26.123Z" }, + { url = "https://files.pythonhosted.org/packages/44/fe/743517340e5a635e3f1c4310baea20c16c66202f96a6f4cead222ffd6d84/setproctitle-1.3.6-cp312-cp312-win32.whl", hash = "sha256:db608db98ccc21248370d30044a60843b3f0f3d34781ceeea67067c508cd5a28", size = 11487, upload-time = "2025-04-29T13:33:27.403Z" }, + { url = "https://files.pythonhosted.org/packages/60/9a/d88f1c1f0f4efff1bd29d9233583ee341114dda7d9613941453984849674/setproctitle-1.3.6-cp312-cp312-win_amd64.whl", hash = "sha256:082413db8a96b1f021088e8ec23f0a61fec352e649aba20881895815388b66d3", size = 12208, upload-time = "2025-04-29T13:33:28.852Z" }, + { url = "https://files.pythonhosted.org/packages/89/76/f1a2fdbf9b9602945a7489ba5c52e9863de37381ef1a85a2b9ed0ff8bc79/setproctitle-1.3.6-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:e2a9e62647dc040a76d55563580bf3bb8fe1f5b6ead08447c2ed0d7786e5e794", size = 17392, upload-time = "2025-04-29T13:33:30.925Z" }, + { url = "https://files.pythonhosted.org/packages/5c/5b/4e0db8b10b4543afcb3dbc0827793d46e43ec1de6b377e313af3703d08e0/setproctitle-1.3.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:751ba352ed922e0af60458e961167fa7b732ac31c0ddd1476a2dfd30ab5958c5", size = 11951, upload-time = "2025-04-29T13:33:32.296Z" }, + { url = "https://files.pythonhosted.org/packages/dc/fe/d5d00aaa700fe1f6160b6e95c225b29c01f4d9292176d48fd968815163ea/setproctitle-1.3.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7890e291bf4708e3b61db9069ea39b3ab0651e42923a5e1f4d78a7b9e4b18301", size = 32087, upload-time = "2025-04-29T13:33:33.469Z" }, + { url = "https://files.pythonhosted.org/packages/9f/b3/894b827b93ef813c082479bebf88185860f01ac243df737823dd705e7fff/setproctitle-1.3.6-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b2b17855ed7f994f3f259cf2dfbfad78814538536fa1a91b50253d84d87fd88d", size = 33502, upload-time = "2025-04-29T13:33:34.831Z" }, + { url = "https://files.pythonhosted.org/packages/b2/cd/5330734cca1a4cfcb721432c22cb7899ff15a4101ba868b2ef452ffafea1/setproctitle-1.3.6-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2e51ec673513465663008ce402171192a053564865c2fc6dc840620871a9bd7c", size = 30713, upload-time = "2025-04-29T13:33:36.739Z" }, + { url = "https://files.pythonhosted.org/packages/fa/d3/c2590c5daa2e9a008d3f2b16c0f4a351826193be55f147cb32af49c6d814/setproctitle-1.3.6-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63cc10352dc6cf35a33951656aa660d99f25f574eb78132ce41a85001a638aa7", size = 31792, upload-time = "2025-04-29T13:33:37.974Z" }, + { url = "https://files.pythonhosted.org/packages/e6/b1/c553ed5af8cfcecd5ae7737e63af58a17a03d26f3d61868c7eb20bf7e3cf/setproctitle-1.3.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:0dba8faee2e4a96e934797c9f0f2d093f8239bf210406a99060b3eabe549628e", size = 31927, upload-time = "2025-04-29T13:33:39.203Z" }, + { url = "https://files.pythonhosted.org/packages/70/78/2d5385206540127a3dca0ff83225b1ac66873f5cc89d4a6d3806c92f5ae2/setproctitle-1.3.6-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:e3e44d08b61de0dd6f205528498f834a51a5c06689f8fb182fe26f3a3ce7dca9", size = 30981, upload-time = "2025-04-29T13:33:40.431Z" }, + { url = "https://files.pythonhosted.org/packages/31/62/e3e4a4e006d0e549748e53cded4ff3b667be0602860fc61b7de8b412b667/setproctitle-1.3.6-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:de004939fc3fd0c1200d26ea9264350bfe501ffbf46c8cf5dc7f345f2d87a7f1", size = 33244, upload-time = "2025-04-29T13:33:41.817Z" }, + { url = "https://files.pythonhosted.org/packages/aa/05/4b223fd4ef94e105dc7aff27fa502fb7200cf52be2bb0c064bd2406b5611/setproctitle-1.3.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:3f8194b4d631b003a1176a75d1acd545e04b1f54b821638e098a93e6e62830ef", size = 31630, upload-time = "2025-04-29T13:33:43.093Z" }, + { url = "https://files.pythonhosted.org/packages/1b/ba/5f68eb969f7336f54b54a599fd3ffbd7662f9733b080bc8598705971b3dd/setproctitle-1.3.6-cp313-cp313-win32.whl", hash = "sha256:d714e002dd3638170fe7376dc1b686dbac9cb712cde3f7224440af722cc9866a", size = 11480, upload-time = "2025-04-29T13:34:01.257Z" }, + { url = "https://files.pythonhosted.org/packages/ba/f5/7f47f0ca35c9c357f16187cee9229f3eda0237bc6fdd3061441336f361c0/setproctitle-1.3.6-cp313-cp313-win_amd64.whl", hash = "sha256:b70c07409d465f3a8b34d52f863871fb8a00755370791d2bd1d4f82b3cdaf3d5", size = 12198, upload-time = "2025-04-29T13:34:02.293Z" }, + { url = "https://files.pythonhosted.org/packages/39/ad/c3941b8fc6b32a976c9e2d9615a90ae793b69cd010ca8c3575dbc822104f/setproctitle-1.3.6-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:23a57d3b8f1549515c2dbe4a2880ebc1f27780dc126c5e064167563e015817f5", size = 17401, upload-time = "2025-04-29T13:33:44.186Z" }, + { url = "https://files.pythonhosted.org/packages/04/38/a184f857b988d3a9c401e470a4e38182a5c99ee77bf90432d7665e9d35a3/setproctitle-1.3.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:81c443310831e29fabbd07b75ebbfa29d0740b56f5907c6af218482d51260431", size = 11959, upload-time = "2025-04-29T13:33:45.71Z" }, + { url = "https://files.pythonhosted.org/packages/b7/b9/4878ef9d8483adfd1edf6bf95151362aaec0d05aac306a97ff0383f491b5/setproctitle-1.3.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d88c63bd395c787b0aa81d8bbc22c1809f311032ce3e823a6517b711129818e4", size = 33463, upload-time = "2025-04-29T13:33:46.913Z" }, + { url = "https://files.pythonhosted.org/packages/cc/60/3ef49d1931aff2a36a7324a49cca10d77ef03e0278452fd468c33a52d7e3/setproctitle-1.3.6-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d73f14b86d0e2858ece6bf5807c9889670e392c001d414b4293d0d9b291942c3", size = 34959, upload-time = "2025-04-29T13:33:48.216Z" }, + { url = "https://files.pythonhosted.org/packages/81/c6/dee0a973acecefb0db6c9c2e0ea7f18b7e4db773a72e534741ebdee8bbb8/setproctitle-1.3.6-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3393859eb8f19f5804049a685bf286cb08d447e28ba5c6d8543c7bf5500d5970", size = 32055, upload-time = "2025-04-29T13:33:49.443Z" }, + { url = "https://files.pythonhosted.org/packages/ea/a5/5dd5c4192cf18d16349a32a07f728a9a48a2a05178e16966cabd6645903e/setproctitle-1.3.6-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:785cd210c0311d9be28a70e281a914486d62bfd44ac926fcd70cf0b4d65dff1c", size = 32986, upload-time = "2025-04-29T13:33:51.519Z" }, + { url = "https://files.pythonhosted.org/packages/df/a6/1508d37eb8008670d33f13fcdb91cbd8ef54697276469abbfdd3d4428c59/setproctitle-1.3.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c051f46ed1e13ba8214b334cbf21902102807582fbfaf0fef341b9e52f0fafbf", size = 32736, upload-time = "2025-04-29T13:33:52.852Z" }, + { url = "https://files.pythonhosted.org/packages/1a/73/c84ec8880d543766a12fcd6b65dbd013770974a40577889f357409b0441e/setproctitle-1.3.6-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:49498ebf68ca3e75321ffe634fcea5cc720502bfaa79bd6b03ded92ce0dc3c24", size = 31945, upload-time = "2025-04-29T13:33:54.665Z" }, + { url = "https://files.pythonhosted.org/packages/95/0a/126b9ff7a406a69a62825fe5bd6d1ba8671919a7018c4f9e2c63f49bfcb6/setproctitle-1.3.6-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:4431629c178193f23c538cb1de3da285a99ccc86b20ee91d81eb5f1a80e0d2ba", size = 34333, upload-time = "2025-04-29T13:33:56.101Z" }, + { url = "https://files.pythonhosted.org/packages/9a/fd/5474b04f1c013ff460129d2bc774557dd6e186da4667865efef9a83bf378/setproctitle-1.3.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:d136fbf8ad4321716e44d6d6b3d8dffb4872626010884e07a1db54b7450836cf", size = 32508, upload-time = "2025-04-29T13:33:57.43Z" }, + { url = "https://files.pythonhosted.org/packages/32/21/2503e38520cb076a7ecaef6a35d6a6fa89cf02af3541c84c811fd7500d20/setproctitle-1.3.6-cp313-cp313t-win32.whl", hash = "sha256:d483cc23cc56ab32911ea0baa0d2d9ea7aa065987f47de847a0a93a58bf57905", size = 11482, upload-time = "2025-04-29T13:33:58.602Z" }, + { url = "https://files.pythonhosted.org/packages/65/23/7833d75a27fba25ddc5cd3b54cd03c4bf8e18b8e2dbec622eb6326278ce8/setproctitle-1.3.6-cp313-cp313t-win_amd64.whl", hash = "sha256:74973aebea3543ad033b9103db30579ec2b950a466e09f9c2180089e8346e0ec", size = 12209, upload-time = "2025-04-29T13:33:59.727Z" }, + { url = "https://files.pythonhosted.org/packages/d0/2b/f19977b646b64c1440dade2c385c89c39f74ce5254defa102dfd9c163e0b/setproctitle-1.3.6-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:3cde5b83ec4915cd5e6ae271937fd60d14113c8f7769b4a20d51769fe70d8717", size = 11471, upload-time = "2025-04-29T13:34:42.665Z" }, + { url = "https://files.pythonhosted.org/packages/78/46/db58cf700f1408cf0f63d3f939f7b077bd450da8e037310f70e74c41262f/setproctitle-1.3.6-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:797f2846b546a8741413c57d9fb930ad5aa939d925c9c0fa6186d77580035af7", size = 13520, upload-time = "2025-04-29T13:34:44.287Z" }, + { url = "https://files.pythonhosted.org/packages/5c/46/0b89e7ebe77543e721c67077ad93fc8c7c3c31a8db3b12e00d02950f6adc/setproctitle-1.3.6-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4ac3eb04bcf0119aadc6235a2c162bae5ed5f740e3d42273a7228b915722de20", size = 13094, upload-time = "2025-04-29T13:34:45.605Z" }, + { url = "https://files.pythonhosted.org/packages/f7/78/03f2e42eb83bce6f853d7751ae95f8a3ae7408145a0b6cdd717be01497d7/setproctitle-1.3.6-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:0e6b5633c94c5111f7137f875e8f1ff48f53b991d5d5b90932f27dc8c1fa9ae4", size = 12241, upload-time = "2025-04-29T13:34:46.996Z" }, +] + +[[package]] +name = "setuptools" +version = "80.8.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/8d/d2/ec1acaaff45caed5c2dedb33b67055ba9d4e96b091094df90762e60135fe/setuptools-80.8.0.tar.gz", hash = "sha256:49f7af965996f26d43c8ae34539c8d99c5042fbff34302ea151eaa9c207cd257", size = 1319720, upload-time = "2025-05-20T14:02:53.503Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/58/29/93c53c098d301132196c3238c312825324740851d77a8500a2462c0fd888/setuptools-80.8.0-py3-none-any.whl", hash = "sha256:95a60484590d24103af13b686121328cc2736bee85de8936383111e421b9edc0", size = 1201470, upload-time = "2025-05-20T14:02:51.348Z" }, +] + +[[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 = "sniffio" +version = "1.3.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/a2/87/a6771e1546d97e7e041b6ae58d80074f81b7d5121207425c964ddf5cfdbd/sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc", size = 20372, upload-time = "2024-02-25T23:20:04.057Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e9/44/75a9c9421471a6c4805dbf2356f7c181a29c1879239abab1ea2cc8f38b40/sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2", size = 10235, upload-time = "2024-02-25T23:20:01.196Z" }, +] + +[[package]] +name = "soupsieve" +version = "2.7" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/3f/f4/4a80cd6ef364b2e8b65b15816a843c0980f7a5a2b4dc701fc574952aa19f/soupsieve-2.7.tar.gz", hash = "sha256:ad282f9b6926286d2ead4750552c8a6142bc4c783fd66b0293547c8fe6ae126a", size = 103418, upload-time = "2025-04-20T18:50:08.518Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e7/9c/0e6afc12c269578be5c0c1c9f4b49a8d32770a080260c333ac04cc1c832d/soupsieve-2.7-py3-none-any.whl", hash = "sha256:6e60cc5c1ffaf1cebcc12e8188320b72071e922c2e897f737cadce79ad5d30c4", size = 36677, upload-time = "2025-04-20T18:50:07.196Z" }, +] + +[[package]] +name = "stack-data" +version = "0.6.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "asttokens" }, + { name = "executing" }, + { name = "pure-eval" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/28/e3/55dcc2cfbc3ca9c29519eb6884dd1415ecb53b0e934862d3559ddcb7e20b/stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9", size = 44707, upload-time = "2023-09-30T13:58:05.479Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f1/7b/ce1eafaf1a76852e2ec9b22edecf1daa58175c090266e9f6c64afcd81d91/stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695", size = 24521, upload-time = "2023-09-30T13:58:03.53Z" }, +] + +[[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 = "tensorboard" +version = "2.19.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "absl-py" }, + { name = "grpcio" }, + { name = "markdown" }, + { name = "numpy" }, + { name = "packaging" }, + { name = "protobuf" }, + { name = "setuptools" }, + { name = "six" }, + { name = "tensorboard-data-server" }, + { name = "werkzeug" }, +] +wheels = [ + { url = "https://files.pythonhosted.org/packages/5d/12/4f70e8e2ba0dbe72ea978429d8530b0333f0ed2140cc571a48802878ef99/tensorboard-2.19.0-py3-none-any.whl", hash = "sha256:5e71b98663a641a7ce8a6e70b0be8e1a4c0c45d48760b076383ac4755c35b9a0", size = 5503412, upload-time = "2025-02-12T08:17:27.21Z" }, +] + +[[package]] +name = "tensorboard-data-server" +version = "0.7.2" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7a/13/e503968fefabd4c6b2650af21e110aa8466fe21432cd7c43a84577a89438/tensorboard_data_server-0.7.2-py3-none-any.whl", hash = "sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb", size = 2356, upload-time = "2023-10-23T21:23:32.16Z" }, + { url = "https://files.pythonhosted.org/packages/b7/85/dabeaf902892922777492e1d253bb7e1264cadce3cea932f7ff599e53fea/tensorboard_data_server-0.7.2-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60", size = 4823598, upload-time = "2023-10-23T21:23:33.714Z" }, + { url = "https://files.pythonhosted.org/packages/73/c6/825dab04195756cf8ff2e12698f22513b3db2f64925bdd41671bfb33aaa5/tensorboard_data_server-0.7.2-py3-none-manylinux_2_31_x86_64.whl", hash = "sha256:ef687163c24185ae9754ed5650eb5bc4d84ff257aabdc33f0cc6f74d8ba54530", size = 6590363, upload-time = "2023-10-23T21:23:35.583Z" }, +] + +[[package]] +name = "tensorboardx" +version = "2.6.2.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy" }, + { name = "packaging" }, + { name = "protobuf" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/02/9b/c2b5aba53f5e27ffcf249fc38485836119638f97d20b978664b15f97c8a6/tensorboardX-2.6.2.2.tar.gz", hash = "sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666", size = 4778030, upload-time = "2023-08-20T13:38:20.658Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/44/71/f3e7c9b2ab67e28c572ab4e9d5fa3499e0d252650f96d8a3a03e26677f53/tensorboardX-2.6.2.2-py2.py3-none-any.whl", hash = "sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8", size = 101700, upload-time = "2023-08-20T13:38:18.089Z" }, +] + +[[package]] +name = "terminado" +version = "0.18.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "ptyprocess", marker = "os_name != 'nt'" }, + { name = "pywinpty", marker = "os_name == 'nt' and sys_platform != 'linux'" }, + { name = "tornado" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/8a/11/965c6fd8e5cc254f1fe142d547387da17a8ebfd75a3455f637c663fb38a0/terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e", size = 32701, upload-time = "2024-03-12T14:34:39.026Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/6a/9e/2064975477fdc887e47ad42157e214526dcad8f317a948dee17e1659a62f/terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0", size = 14154, upload-time = "2024-03-12T14:34:36.569Z" }, +] + +[[package]] +name = "tinycss2" +version = "1.4.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "webencodings" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/7a/fd/7a5ee21fd08ff70d3d33a5781c255cbe779659bd03278feb98b19ee550f4/tinycss2-1.4.0.tar.gz", hash = "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7", size = 87085, upload-time = "2024-10-24T14:58:29.895Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e6/34/ebdc18bae6aa14fbee1a08b63c015c72b64868ff7dae68808ab500c492e2/tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289", size = 26610, upload-time = "2024-10-24T14:58:28.029Z" }, +] + +[[package]] +name = "tokenizers" +version = "0.21.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "huggingface-hub" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/92/76/5ac0c97f1117b91b7eb7323dcd61af80d72f790b4df71249a7850c195f30/tokenizers-0.21.1.tar.gz", hash = "sha256:a1bb04dc5b448985f86ecd4b05407f5a8d97cb2c0532199b2a302a604a0165ab", size = 343256, upload-time = "2025-03-13T10:51:18.189Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a5/1f/328aee25f9115bf04262e8b4e5a2050b7b7cf44b59c74e982db7270c7f30/tokenizers-0.21.1-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:e78e413e9e668ad790a29456e677d9d3aa50a9ad311a40905d6861ba7692cf41", size = 2780767, upload-time = "2025-03-13T10:51:09.459Z" }, + { url = "https://files.pythonhosted.org/packages/ae/1a/4526797f3719b0287853f12c5ad563a9be09d446c44ac784cdd7c50f76ab/tokenizers-0.21.1-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:cd51cd0a91ecc801633829fcd1fda9cf8682ed3477c6243b9a095539de4aecf3", size = 2650555, upload-time = "2025-03-13T10:51:07.692Z" }, + { url = "https://files.pythonhosted.org/packages/4d/7a/a209b29f971a9fdc1da86f917fe4524564924db50d13f0724feed37b2a4d/tokenizers-0.21.1-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28da6b72d4fb14ee200a1bd386ff74ade8992d7f725f2bde2c495a9a98cf4d9f", size = 2937541, upload-time = "2025-03-13T10:50:56.679Z" }, + { url = "https://files.pythonhosted.org/packages/3c/1e/b788b50ffc6191e0b1fc2b0d49df8cff16fe415302e5ceb89f619d12c5bc/tokenizers-0.21.1-cp39-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:34d8cfde551c9916cb92014e040806122295a6800914bab5865deb85623931cf", size = 2819058, upload-time = "2025-03-13T10:50:59.525Z" }, + { url = "https://files.pythonhosted.org/packages/36/aa/3626dfa09a0ecc5b57a8c58eeaeb7dd7ca9a37ad9dd681edab5acd55764c/tokenizers-0.21.1-cp39-abi3-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:aaa852d23e125b73d283c98f007e06d4595732104b65402f46e8ef24b588d9f8", size = 3133278, upload-time = "2025-03-13T10:51:04.678Z" }, + { url = "https://files.pythonhosted.org/packages/a4/4d/8fbc203838b3d26269f944a89459d94c858f5b3f9a9b6ee9728cdcf69161/tokenizers-0.21.1-cp39-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a21a15d5c8e603331b8a59548bbe113564136dc0f5ad8306dd5033459a226da0", size = 3144253, upload-time = "2025-03-13T10:51:01.261Z" }, + { url = "https://files.pythonhosted.org/packages/d8/1b/2bd062adeb7c7511b847b32e356024980c0ffcf35f28947792c2d8ad2288/tokenizers-0.21.1-cp39-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2fdbd4c067c60a0ac7eca14b6bd18a5bebace54eb757c706b47ea93204f7a37c", size = 3398225, upload-time = "2025-03-13T10:51:03.243Z" }, + { url = "https://files.pythonhosted.org/packages/8a/63/38be071b0c8e06840bc6046991636bcb30c27f6bb1e670f4f4bc87cf49cc/tokenizers-0.21.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2dd9a0061e403546f7377df940e866c3e678d7d4e9643d0461ea442b4f89e61a", size = 3038874, upload-time = "2025-03-13T10:51:06.235Z" }, + { url = "https://files.pythonhosted.org/packages/ec/83/afa94193c09246417c23a3c75a8a0a96bf44ab5630a3015538d0c316dd4b/tokenizers-0.21.1-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:db9484aeb2e200c43b915a1a0150ea885e35f357a5a8fabf7373af333dcc8dbf", size = 9014448, upload-time = "2025-03-13T10:51:10.927Z" }, + { url = "https://files.pythonhosted.org/packages/ae/b3/0e1a37d4f84c0f014d43701c11eb8072704f6efe8d8fc2dcdb79c47d76de/tokenizers-0.21.1-cp39-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:ed248ab5279e601a30a4d67bdb897ecbe955a50f1e7bb62bd99f07dd11c2f5b6", size = 8937877, upload-time = "2025-03-13T10:51:12.688Z" }, + { url = "https://files.pythonhosted.org/packages/ac/33/ff08f50e6d615eb180a4a328c65907feb6ded0b8f990ec923969759dc379/tokenizers-0.21.1-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:9ac78b12e541d4ce67b4dfd970e44c060a2147b9b2a21f509566d556a509c67d", size = 9186645, upload-time = "2025-03-13T10:51:14.723Z" }, + { url = "https://files.pythonhosted.org/packages/5f/aa/8ae85f69a9f6012c6f8011c6f4aa1c96154c816e9eea2e1b758601157833/tokenizers-0.21.1-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:e5a69c1a4496b81a5ee5d2c1f3f7fbdf95e90a0196101b0ee89ed9956b8a168f", size = 9384380, upload-time = "2025-03-13T10:51:16.526Z" }, + { url = "https://files.pythonhosted.org/packages/e8/5b/a5d98c89f747455e8b7a9504910c865d5e51da55e825a7ae641fb5ff0a58/tokenizers-0.21.1-cp39-abi3-win32.whl", hash = "sha256:1039a3a5734944e09de1d48761ade94e00d0fa760c0e0551151d4dd851ba63e3", size = 2239506, upload-time = "2025-03-13T10:51:20.643Z" }, + { url = "https://files.pythonhosted.org/packages/e6/b6/072a8e053ae600dcc2ac0da81a23548e3b523301a442a6ca900e92ac35be/tokenizers-0.21.1-cp39-abi3-win_amd64.whl", hash = "sha256:0f0dcbcc9f6e13e675a66d7a5f2f225a736745ce484c1a4e07476a89ccdad382", size = 2435481, upload-time = "2025-03-13T10:51:19.243Z" }, +] + +[[package]] +name = "tomli" +version = "2.2.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/18/87/302344fed471e44a87289cf4967697d07e532f2421fdaf868a303cbae4ff/tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff", size = 17175, upload-time = "2024-11-27T22:38:36.873Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/43/ca/75707e6efa2b37c77dadb324ae7d9571cb424e61ea73fad7c56c2d14527f/tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249", size = 131077, upload-time = "2024-11-27T22:37:54.956Z" }, + { url = "https://files.pythonhosted.org/packages/c7/16/51ae563a8615d472fdbffc43a3f3d46588c264ac4f024f63f01283becfbb/tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6", size = 123429, upload-time = "2024-11-27T22:37:56.698Z" }, + { url = "https://files.pythonhosted.org/packages/f1/dd/4f6cd1e7b160041db83c694abc78e100473c15d54620083dbd5aae7b990e/tomli-2.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ece47d672db52ac607a3d9599a9d48dcb2f2f735c6c2d1f34130085bb12b112a", size = 226067, upload-time = "2024-11-27T22:37:57.63Z" }, + { url = "https://files.pythonhosted.org/packages/a9/6b/c54ede5dc70d648cc6361eaf429304b02f2871a345bbdd51e993d6cdf550/tomli-2.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6972ca9c9cc9f0acaa56a8ca1ff51e7af152a9f87fb64623e31d5c83700080ee", size = 236030, upload-time = "2024-11-27T22:37:59.344Z" }, + { url = "https://files.pythonhosted.org/packages/1f/47/999514fa49cfaf7a92c805a86c3c43f4215621855d151b61c602abb38091/tomli-2.2.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c954d2250168d28797dd4e3ac5cf812a406cd5a92674ee4c8f123c889786aa8e", size = 240898, upload-time = "2024-11-27T22:38:00.429Z" }, + { url = "https://files.pythonhosted.org/packages/73/41/0a01279a7ae09ee1573b423318e7934674ce06eb33f50936655071d81a24/tomli-2.2.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8dd28b3e155b80f4d54beb40a441d366adcfe740969820caf156c019fb5c7ec4", size = 229894, upload-time = "2024-11-27T22:38:02.094Z" }, + { url = "https://files.pythonhosted.org/packages/55/18/5d8bc5b0a0362311ce4d18830a5d28943667599a60d20118074ea1b01bb7/tomli-2.2.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:e59e304978767a54663af13c07b3d1af22ddee3bb2fb0618ca1593e4f593a106", size = 245319, upload-time = "2024-11-27T22:38:03.206Z" }, + { url = "https://files.pythonhosted.org/packages/92/a3/7ade0576d17f3cdf5ff44d61390d4b3febb8a9fc2b480c75c47ea048c646/tomli-2.2.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:33580bccab0338d00994d7f16f4c4ec25b776af3ffaac1ed74e0b3fc95e885a8", size = 238273, upload-time = "2024-11-27T22:38:04.217Z" }, + { url = "https://files.pythonhosted.org/packages/72/6f/fa64ef058ac1446a1e51110c375339b3ec6be245af9d14c87c4a6412dd32/tomli-2.2.1-cp311-cp311-win32.whl", hash = "sha256:465af0e0875402f1d226519c9904f37254b3045fc5084697cefb9bdde1ff99ff", size = 98310, upload-time = "2024-11-27T22:38:05.908Z" }, + { url = "https://files.pythonhosted.org/packages/6a/1c/4a2dcde4a51b81be3530565e92eda625d94dafb46dbeb15069df4caffc34/tomli-2.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:2d0f2fdd22b02c6d81637a3c95f8cd77f995846af7414c5c4b8d0545afa1bc4b", size = 108309, upload-time = "2024-11-27T22:38:06.812Z" }, + { url = "https://files.pythonhosted.org/packages/52/e1/f8af4c2fcde17500422858155aeb0d7e93477a0d59a98e56cbfe75070fd0/tomli-2.2.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4a8f6e44de52d5e6c657c9fe83b562f5f4256d8ebbfe4ff922c495620a7f6cea", size = 132762, upload-time = "2024-11-27T22:38:07.731Z" }, + { url = "https://files.pythonhosted.org/packages/03/b8/152c68bb84fc00396b83e7bbddd5ec0bd3dd409db4195e2a9b3e398ad2e3/tomli-2.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8d57ca8095a641b8237d5b079147646153d22552f1c637fd3ba7f4b0b29167a8", size = 123453, upload-time = "2024-11-27T22:38:09.384Z" }, + { url = "https://files.pythonhosted.org/packages/c8/d6/fc9267af9166f79ac528ff7e8c55c8181ded34eb4b0e93daa767b8841573/tomli-2.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e340144ad7ae1533cb897d406382b4b6fede8890a03738ff1683af800d54192", size = 233486, upload-time = "2024-11-27T22:38:10.329Z" }, + { url = "https://files.pythonhosted.org/packages/5c/51/51c3f2884d7bab89af25f678447ea7d297b53b5a3b5730a7cb2ef6069f07/tomli-2.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db2b95f9de79181805df90bedc5a5ab4c165e6ec3fe99f970d0e302f384ad222", size = 242349, upload-time = "2024-11-27T22:38:11.443Z" }, + { url = "https://files.pythonhosted.org/packages/ab/df/bfa89627d13a5cc22402e441e8a931ef2108403db390ff3345c05253935e/tomli-2.2.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40741994320b232529c802f8bc86da4e1aa9f413db394617b9a256ae0f9a7f77", size = 252159, upload-time = "2024-11-27T22:38:13.099Z" }, + { url = "https://files.pythonhosted.org/packages/9e/6e/fa2b916dced65763a5168c6ccb91066f7639bdc88b48adda990db10c8c0b/tomli-2.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:400e720fe168c0f8521520190686ef8ef033fb19fc493da09779e592861b78c6", size = 237243, upload-time = "2024-11-27T22:38:14.766Z" }, + { url = "https://files.pythonhosted.org/packages/b4/04/885d3b1f650e1153cbb93a6a9782c58a972b94ea4483ae4ac5cedd5e4a09/tomli-2.2.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:02abe224de6ae62c19f090f68da4e27b10af2b93213d36cf44e6e1c5abd19fdd", size = 259645, upload-time = "2024-11-27T22:38:15.843Z" }, + { url = "https://files.pythonhosted.org/packages/9c/de/6b432d66e986e501586da298e28ebeefd3edc2c780f3ad73d22566034239/tomli-2.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b82ebccc8c8a36f2094e969560a1b836758481f3dc360ce9a3277c65f374285e", size = 244584, upload-time = "2024-11-27T22:38:17.645Z" }, + { url = "https://files.pythonhosted.org/packages/1c/9a/47c0449b98e6e7d1be6cbac02f93dd79003234ddc4aaab6ba07a9a7482e2/tomli-2.2.1-cp312-cp312-win32.whl", hash = "sha256:889f80ef92701b9dbb224e49ec87c645ce5df3fa2cc548664eb8a25e03127a98", size = 98875, upload-time = "2024-11-27T22:38:19.159Z" }, + { url = "https://files.pythonhosted.org/packages/ef/60/9b9638f081c6f1261e2688bd487625cd1e660d0a85bd469e91d8db969734/tomli-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:7fc04e92e1d624a4a63c76474610238576942d6b8950a2d7f908a340494e67e4", size = 109418, upload-time = "2024-11-27T22:38:20.064Z" }, + { url = "https://files.pythonhosted.org/packages/04/90/2ee5f2e0362cb8a0b6499dc44f4d7d48f8fff06d28ba46e6f1eaa61a1388/tomli-2.2.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f4039b9cbc3048b2416cc57ab3bda989a6fcf9b36cf8937f01a6e731b64f80d7", size = 132708, upload-time = "2024-11-27T22:38:21.659Z" }, + { url = "https://files.pythonhosted.org/packages/c0/ec/46b4108816de6b385141f082ba99e315501ccd0a2ea23db4a100dd3990ea/tomli-2.2.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:286f0ca2ffeeb5b9bd4fcc8d6c330534323ec51b2f52da063b11c502da16f30c", size = 123582, upload-time = "2024-11-27T22:38:22.693Z" }, + { url = "https://files.pythonhosted.org/packages/a0/bd/b470466d0137b37b68d24556c38a0cc819e8febe392d5b199dcd7f578365/tomli-2.2.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a92ef1a44547e894e2a17d24e7557a5e85a9e1d0048b0b5e7541f76c5032cb13", size = 232543, upload-time = "2024-11-27T22:38:24.367Z" }, + { url = "https://files.pythonhosted.org/packages/d9/e5/82e80ff3b751373f7cead2815bcbe2d51c895b3c990686741a8e56ec42ab/tomli-2.2.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9316dc65bed1684c9a98ee68759ceaed29d229e985297003e494aa825ebb0281", size = 241691, upload-time = "2024-11-27T22:38:26.081Z" }, + { url = "https://files.pythonhosted.org/packages/05/7e/2a110bc2713557d6a1bfb06af23dd01e7dde52b6ee7dadc589868f9abfac/tomli-2.2.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e85e99945e688e32d5a35c1ff38ed0b3f41f43fad8df0bdf79f72b2ba7bc5272", size = 251170, upload-time = "2024-11-27T22:38:27.921Z" }, + { url = "https://files.pythonhosted.org/packages/64/7b/22d713946efe00e0adbcdfd6d1aa119ae03fd0b60ebed51ebb3fa9f5a2e5/tomli-2.2.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ac065718db92ca818f8d6141b5f66369833d4a80a9d74435a268c52bdfa73140", size = 236530, upload-time = "2024-11-27T22:38:29.591Z" }, + { url = "https://files.pythonhosted.org/packages/38/31/3a76f67da4b0cf37b742ca76beaf819dca0ebef26d78fc794a576e08accf/tomli-2.2.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:d920f33822747519673ee656a4b6ac33e382eca9d331c87770faa3eef562aeb2", size = 258666, upload-time = "2024-11-27T22:38:30.639Z" }, + { url = "https://files.pythonhosted.org/packages/07/10/5af1293da642aded87e8a988753945d0cf7e00a9452d3911dd3bb354c9e2/tomli-2.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a198f10c4d1b1375d7687bc25294306e551bf1abfa4eace6650070a5c1ae2744", size = 243954, upload-time = "2024-11-27T22:38:31.702Z" }, + { url = "https://files.pythonhosted.org/packages/5b/b9/1ed31d167be802da0fc95020d04cd27b7d7065cc6fbefdd2f9186f60d7bd/tomli-2.2.1-cp313-cp313-win32.whl", hash = "sha256:d3f5614314d758649ab2ab3a62d4f2004c825922f9e370b29416484086b264ec", size = 98724, upload-time = "2024-11-27T22:38:32.837Z" }, + { url = "https://files.pythonhosted.org/packages/c7/32/b0963458706accd9afcfeb867c0f9175a741bf7b19cd424230714d722198/tomli-2.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:a38aa0308e754b0e3c67e344754dff64999ff9b513e691d0e786265c93583c69", size = 109383, upload-time = "2024-11-27T22:38:34.455Z" }, + { url = "https://files.pythonhosted.org/packages/6e/c2/61d3e0f47e2b74ef40a68b9e6ad5984f6241a942f7cd3bbfbdbd03861ea9/tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc", size = 14257, upload-time = "2024-11-27T22:38:35.385Z" }, +] + +[[package]] +name = "torch" +version = "2.7.0" +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/46/c2/3fb87940fa160d956ee94d644d37b99a24b9c05a4222bf34f94c71880e28/torch-2.7.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:c9afea41b11e1a1ab1b258a5c31afbd646d6319042bfe4f231b408034b51128b", size = 99158447, upload-time = "2025-04-23T14:35:10.557Z" }, + { url = "https://files.pythonhosted.org/packages/cc/2c/91d1de65573fce563f5284e69d9c56b57289625cffbbb6d533d5d56c36a5/torch-2.7.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:0b9960183b6e5b71239a3e6c883d8852c304e691c0b2955f7045e8a6d05b9183", size = 865164221, upload-time = "2025-04-23T14:33:27.864Z" }, + { url = "https://files.pythonhosted.org/packages/7f/7e/1b1cc4e0e7cc2666cceb3d250eef47a205f0821c330392cf45eb08156ce5/torch-2.7.0-cp310-cp310-win_amd64.whl", hash = "sha256:2ad79d0d8c2a20a37c5df6052ec67c2078a2c4e9a96dd3a8b55daaff6d28ea29", size = 212521189, upload-time = "2025-04-23T14:34:53.898Z" }, + { url = "https://files.pythonhosted.org/packages/dc/0b/b2b83f30b8e84a51bf4f96aa3f5f65fdf7c31c591cc519310942339977e2/torch-2.7.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:34e0168ed6de99121612d72224e59b2a58a83dae64999990eada7260c5dd582d", size = 68559462, upload-time = "2025-04-23T14:35:39.889Z" }, + { url = "https://files.pythonhosted.org/packages/40/da/7378d16cc636697f2a94f791cb496939b60fb8580ddbbef22367db2c2274/torch-2.7.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2b7813e904757b125faf1a9a3154e1d50381d539ced34da1992f52440567c156", size = 99159397, upload-time = "2025-04-23T14:35:35.304Z" }, + { url = "https://files.pythonhosted.org/packages/0e/6b/87fcddd34df9f53880fa1f0c23af7b6b96c935856473faf3914323588c40/torch-2.7.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:fd5cfbb4c3bbadd57ad1b27d56a28008f8d8753733411a140fcfb84d7f933a25", size = 865183681, upload-time = "2025-04-23T14:34:21.802Z" }, + { url = "https://files.pythonhosted.org/packages/13/85/6c1092d4b06c3db1ed23d4106488750917156af0b24ab0a2d9951830b0e9/torch-2.7.0-cp311-cp311-win_amd64.whl", hash = "sha256:58df8d5c2eeb81305760282b5069ea4442791a6bbf0c74d9069b7b3304ff8a37", size = 212520100, upload-time = "2025-04-23T14:35:27.473Z" }, + { url = "https://files.pythonhosted.org/packages/aa/3f/85b56f7e2abcfa558c5fbf7b11eb02d78a4a63e6aeee2bbae3bb552abea5/torch-2.7.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:0a8d43caa342b9986101ec5feb5bbf1d86570b5caa01e9cb426378311258fdde", size = 68569377, upload-time = "2025-04-23T14:35:20.361Z" }, + { url = "https://files.pythonhosted.org/packages/aa/5e/ac759f4c0ab7c01feffa777bd68b43d2ac61560a9770eeac074b450f81d4/torch-2.7.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:36a6368c7ace41ad1c0f69f18056020b6a5ca47bedaca9a2f3b578f5a104c26c", size = 99013250, upload-time = "2025-04-23T14:35:15.589Z" }, + { url = "https://files.pythonhosted.org/packages/9c/58/2d245b6f1ef61cf11dfc4aceeaacbb40fea706ccebac3f863890c720ab73/torch-2.7.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:15aab3e31c16feb12ae0a88dba3434a458874636f360c567caa6a91f6bfba481", size = 865042157, upload-time = "2025-04-23T14:32:56.011Z" }, + { url = "https://files.pythonhosted.org/packages/44/80/b353c024e6b624cd9ce1d66dcb9d24e0294680f95b369f19280e241a0159/torch-2.7.0-cp312-cp312-win_amd64.whl", hash = "sha256:f56d4b2510934e072bab3ab8987e00e60e1262fb238176168f5e0c43a1320c6d", size = 212482262, upload-time = "2025-04-23T14:35:03.527Z" }, + { url = "https://files.pythonhosted.org/packages/ee/8d/b2939e5254be932db1a34b2bd099070c509e8887e0c5a90c498a917e4032/torch-2.7.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:30b7688a87239a7de83f269333651d8e582afffce6f591fff08c046f7787296e", size = 68574294, upload-time = "2025-04-23T14:34:47.098Z" }, + { url = "https://files.pythonhosted.org/packages/14/24/720ea9a66c29151b315ea6ba6f404650834af57a26b2a04af23ec246b2d5/torch-2.7.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:868ccdc11798535b5727509480cd1d86d74220cfdc42842c4617338c1109a205", size = 99015553, upload-time = "2025-04-23T14:34:41.075Z" }, + { url = "https://files.pythonhosted.org/packages/4b/27/285a8cf12bd7cd71f9f211a968516b07dcffed3ef0be585c6e823675ab91/torch-2.7.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:9b52347118116cf3dff2ab5a3c3dd97c719eb924ac658ca2a7335652076df708", size = 865046389, upload-time = "2025-04-23T14:32:01.16Z" }, + { url = "https://files.pythonhosted.org/packages/74/c8/2ab2b6eadc45554af8768ae99668c5a8a8552e2012c7238ded7e9e4395e1/torch-2.7.0-cp313-cp313-win_amd64.whl", hash = "sha256:434cf3b378340efc87c758f250e884f34460624c0523fe5c9b518d205c91dd1b", size = 212490304, upload-time = "2025-04-23T14:33:57.108Z" }, + { url = "https://files.pythonhosted.org/packages/28/fd/74ba6fde80e2b9eef4237fe668ffae302c76f0e4221759949a632ca13afa/torch-2.7.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:edad98dddd82220465b106506bb91ee5ce32bd075cddbcf2b443dfaa2cbd83bf", size = 68856166, upload-time = "2025-04-23T14:34:04.012Z" }, + { url = "https://files.pythonhosted.org/packages/cb/b4/8df3f9fe6bdf59e56a0e538592c308d18638eb5f5dc4b08d02abb173c9f0/torch-2.7.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:2a885fc25afefb6e6eb18a7d1e8bfa01cc153e92271d980a49243b250d5ab6d9", size = 99091348, upload-time = "2025-04-23T14:33:48.975Z" }, + { url = "https://files.pythonhosted.org/packages/9d/f5/0bd30e9da04c3036614aa1b935a9f7e505a9e4f1f731b15e165faf8a4c74/torch-2.7.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:176300ff5bc11a5f5b0784e40bde9e10a35c4ae9609beed96b4aeb46a27f5fae", size = 865104023, upload-time = "2025-04-23T14:30:40.537Z" }, + { url = "https://files.pythonhosted.org/packages/d1/b7/2235d0c3012c596df1c8d39a3f4afc1ee1b6e318d469eda4c8bb68566448/torch-2.7.0-cp313-cp313t-win_amd64.whl", hash = "sha256:d0ca446a93f474985d81dc866fcc8dccefb9460a29a456f79d99c29a78a66993", size = 212750916, upload-time = "2025-04-23T14:32:22.91Z" }, + { url = "https://files.pythonhosted.org/packages/90/48/7e6477cf40d48cc0a61fa0d41ee9582b9a316b12772fcac17bc1a40178e7/torch-2.7.0-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:27f5007bdf45f7bb7af7f11d1828d5c2487e030690afb3d89a651fd7036a390e", size = 68575074, upload-time = "2025-04-23T14:32:38.136Z" }, +] + +[[package]] +name = "torchmetrics" +version = "1.7.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "lightning-utilities" }, + { name = "numpy" }, + { name = "packaging" }, + { name = "torch" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/28/c4/2d921ccf7433ee6d8d6edeaca238674cbbc74528120631c662014795c645/torchmetrics-1.7.1.tar.gz", hash = "sha256:0ac1a0e90d2375866ceb5d3868720c6df7d7d0c5729b7ad36e92c897c6af70c2", size = 565045, upload-time = "2025-04-07T19:39:52.577Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e0/ee/4d0a7213a6f412afb3483031009a3b970dd7bed3be24de95ab04fba1c05a/torchmetrics-1.7.1-py3-none-any.whl", hash = "sha256:9a4c45edbd0a1844cc1540c9e71bfbe0ee783a2ed997344d947fefecac90dbb9", size = 961489, upload-time = "2025-04-07T19:39:50.455Z" }, +] + +[[package]] +name = "tornado" +version = "6.5.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/51/89/c72771c81d25d53fe33e3dca61c233b665b2780f21820ba6fd2c6793c12b/tornado-6.5.1.tar.gz", hash = "sha256:84ceece391e8eb9b2b95578db65e920d2a61070260594819589609ba9bc6308c", size = 509934, upload-time = "2025-05-22T18:15:38.788Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/77/89/f4532dee6843c9e0ebc4e28d4be04c67f54f60813e4bf73d595fe7567452/tornado-6.5.1-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:d50065ba7fd11d3bd41bcad0825227cc9a95154bad83239357094c36708001f7", size = 441948, upload-time = "2025-05-22T18:15:20.862Z" }, + { url = "https://files.pythonhosted.org/packages/15/9a/557406b62cffa395d18772e0cdcf03bed2fff03b374677348eef9f6a3792/tornado-6.5.1-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:9e9ca370f717997cb85606d074b0e5b247282cf5e2e1611568b8821afe0342d6", size = 440112, upload-time = "2025-05-22T18:15:22.591Z" }, + { url = "https://files.pythonhosted.org/packages/55/82/7721b7319013a3cf881f4dffa4f60ceff07b31b394e459984e7a36dc99ec/tornado-6.5.1-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b77e9dfa7ed69754a54c89d82ef746398be82f749df69c4d3abe75c4d1ff4888", size = 443672, upload-time = "2025-05-22T18:15:24.027Z" }, + { url = "https://files.pythonhosted.org/packages/7d/42/d11c4376e7d101171b94e03cef0cbce43e823ed6567ceda571f54cf6e3ce/tornado-6.5.1-cp39-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:253b76040ee3bab8bcf7ba9feb136436a3787208717a1fb9f2c16b744fba7331", size = 443019, upload-time = "2025-05-22T18:15:25.735Z" }, + { url = "https://files.pythonhosted.org/packages/7d/f7/0c48ba992d875521ac761e6e04b0a1750f8150ae42ea26df1852d6a98942/tornado-6.5.1-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:308473f4cc5a76227157cdf904de33ac268af770b2c5f05ca6c1161d82fdd95e", size = 443252, upload-time = "2025-05-22T18:15:27.499Z" }, + { url = "https://files.pythonhosted.org/packages/89/46/d8d7413d11987e316df4ad42e16023cd62666a3c0dfa1518ffa30b8df06c/tornado-6.5.1-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:caec6314ce8a81cf69bd89909f4b633b9f523834dc1a352021775d45e51d9401", size = 443930, upload-time = "2025-05-22T18:15:29.299Z" }, + { url = "https://files.pythonhosted.org/packages/78/b2/f8049221c96a06df89bed68260e8ca94beca5ea532ffc63b1175ad31f9cc/tornado-6.5.1-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:13ce6e3396c24e2808774741331638ee6c2f50b114b97a55c5b442df65fd9692", size = 443351, upload-time = "2025-05-22T18:15:31.038Z" }, + { url = "https://files.pythonhosted.org/packages/76/ff/6a0079e65b326cc222a54720a748e04a4db246870c4da54ece4577bfa702/tornado-6.5.1-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:5cae6145f4cdf5ab24744526cc0f55a17d76f02c98f4cff9daa08ae9a217448a", size = 443328, upload-time = "2025-05-22T18:15:32.426Z" }, + { url = "https://files.pythonhosted.org/packages/49/18/e3f902a1d21f14035b5bc6246a8c0f51e0eef562ace3a2cea403c1fb7021/tornado-6.5.1-cp39-abi3-win32.whl", hash = "sha256:e0a36e1bc684dca10b1aa75a31df8bdfed656831489bc1e6a6ebed05dc1ec365", size = 444396, upload-time = "2025-05-22T18:15:34.205Z" }, + { url = "https://files.pythonhosted.org/packages/7b/09/6526e32bf1049ee7de3bebba81572673b19a2a8541f795d887e92af1a8bc/tornado-6.5.1-cp39-abi3-win_amd64.whl", hash = "sha256:908e7d64567cecd4c2b458075589a775063453aeb1d2a1853eedb806922f568b", size = 444840, upload-time = "2025-05-22T18:15:36.1Z" }, + { url = "https://files.pythonhosted.org/packages/55/a7/535c44c7bea4578e48281d83c615219f3ab19e6abc67625ef637c73987be/tornado-6.5.1-cp39-abi3-win_arm64.whl", hash = "sha256:02420a0eb7bf617257b9935e2b754d1b63897525d8a289c9d65690d580b4dcf7", size = 443596, upload-time = "2025-05-22T18:15:37.433Z" }, +] + +[[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 = "traitlets" +version = "5.14.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/eb/79/72064e6a701c2183016abbbfedaba506d81e30e232a68c9f0d6f6fcd1574/traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7", size = 161621, upload-time = "2024-04-19T11:11:49.746Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/00/c0/8f5d070730d7836adc9c9b6408dec68c6ced86b304a9b26a14df072a6e8c/traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f", size = 85359, upload-time = "2024-04-19T11:11:46.763Z" }, +] + +[[package]] +name = "transformers" +version = "4.51.3" +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/f1/11/7414d5bc07690002ce4d7553602107bf969af85144bbd02830f9fb471236/transformers-4.51.3.tar.gz", hash = "sha256:e292fcab3990c6defe6328f0f7d2004283ca81a7a07b2de9a46d67fd81ea1409", size = 8941266, upload-time = "2025-04-14T08:15:00.485Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a9/b6/5257d04ae327b44db31f15cce39e6020cc986333c715660b1315a9724d82/transformers-4.51.3-py3-none-any.whl", hash = "sha256:fd3279633ceb2b777013234bbf0b4f5c2d23c4626b05497691f00cfda55e8a83", size = 10383940, upload-time = "2025-04-14T08:13:43.023Z" }, +] + +[[package]] +name = "triton" +version = "3.3.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "setuptools" }, +] +wheels = [ + { url = "https://files.pythonhosted.org/packages/76/04/d54d3a6d077c646624dc9461b0059e23fd5d30e0dbe67471e3654aec81f9/triton-3.3.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fad99beafc860501d7fcc1fb7045d9496cbe2c882b1674640304949165a916e7", size = 156441993, upload-time = "2025-04-09T20:27:25.107Z" }, + { url = "https://files.pythonhosted.org/packages/3c/c5/4874a81131cc9e934d88377fbc9d24319ae1fb540f3333b4e9c696ebc607/triton-3.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3161a2bf073d6b22c4e2f33f951f3e5e3001462b2570e6df9cd57565bdec2984", size = 156528461, upload-time = "2025-04-09T20:27:32.599Z" }, + { url = "https://files.pythonhosted.org/packages/11/53/ce18470914ab6cfbec9384ee565d23c4d1c55f0548160b1c7b33000b11fd/triton-3.3.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b68c778f6c4218403a6bd01be7484f6dc9e20fe2083d22dd8aef33e3b87a10a3", size = 156504509, upload-time = "2025-04-09T20:27:40.413Z" }, + { url = "https://files.pythonhosted.org/packages/7d/74/4bf2702b65e93accaa20397b74da46fb7a0356452c1bb94dbabaf0582930/triton-3.3.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:47bc87ad66fa4ef17968299acacecaab71ce40a238890acc6ad197c3abe2b8f1", size = 156516468, upload-time = "2025-04-09T20:27:48.196Z" }, + { url = "https://files.pythonhosted.org/packages/0a/93/f28a696fa750b9b608baa236f8225dd3290e5aff27433b06143adc025961/triton-3.3.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ce4700fc14032af1e049005ae94ba908e71cd6c2df682239aed08e49bc71b742", size = 156580729, upload-time = "2025-04-09T20:27:55.424Z" }, +] + +[[package]] +name = "typeguard" +version = "4.4.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/70/60/8cd6a3d78d00ceeb2193c02b7ed08f063d5341ccdfb24df88e61f383048e/typeguard-4.4.2.tar.gz", hash = "sha256:a6f1065813e32ef365bc3b3f503af8a96f9dd4e0033a02c28c4a4983de8c6c49", size = 75746, upload-time = "2025-02-16T16:28:26.205Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/cf/4b/9a77dc721aa0b7f74440a42e4ef6f9a4fae7324e17f64f88b96f4c25cc05/typeguard-4.4.2-py3-none-any.whl", hash = "sha256:77a78f11f09777aeae7fa08585f33b5f4ef0e7335af40005b0c422ed398ff48c", size = 35801, upload-time = "2025-02-16T16:28:24.793Z" }, +] + +[[package]] +name = "types-python-dateutil" +version = "2.9.0.20250516" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ef/88/d65ed807393285204ab6e2801e5d11fbbea811adcaa979a2ed3b67a5ef41/types_python_dateutil-2.9.0.20250516.tar.gz", hash = "sha256:13e80d6c9c47df23ad773d54b2826bd52dbbb41be87c3f339381c1700ad21ee5", size = 13943, upload-time = "2025-05-16T03:06:58.385Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c5/3f/b0e8db149896005adc938a1e7f371d6d7e9eca4053a29b108978ed15e0c2/types_python_dateutil-2.9.0.20250516-py3-none-any.whl", hash = "sha256:2b2b3f57f9c6a61fba26a9c0ffb9ea5681c9b83e69cd897c6b5f668d9c0cab93", size = 14356, upload-time = "2025-05-16T03:06:57.249Z" }, +] + +[[package]] +name = "typing-extensions" +version = "4.13.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f6/37/23083fcd6e35492953e8d2aaaa68b860eb422b34627b13f2ce3eb6106061/typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef", size = 106967, upload-time = "2025-04-10T14:19:05.416Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8b/54/b1ae86c0973cc6f0210b53d508ca3641fb6d0c56823f288d108bc7ab3cc8/typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c", size = 45806, upload-time = "2025-04-10T14:19:03.967Z" }, +] + +[[package]] +name = "typing-inspection" +version = "0.4.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/f8/b1/0c11f5058406b3af7609f121aaa6b609744687f1d158b3c3a5bf4cc94238/typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28", size = 75726, upload-time = "2025-05-21T18:55:23.885Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/17/69/cd203477f944c353c31bade965f880aa1061fd6bf05ded0726ca845b6ff7/typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51", size = 14552, upload-time = "2025-05-21T18:55:22.152Z" }, +] + +[[package]] +name = "tzdata" +version = "2025.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/95/32/1a225d6164441be760d75c2c42e2780dc0873fe382da3e98a2e1e48361e5/tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9", size = 196380, upload-time = "2025-03-23T13:54:43.652Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5c/23/c7abc0ca0a1526a0774eca151daeb8de62ec457e77262b66b359c3c7679e/tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8", size = 347839, upload-time = "2025-03-23T13:54:41.845Z" }, +] + +[[package]] +name = "uri-template" +version = "1.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/31/c7/0336f2bd0bcbada6ccef7aaa25e443c118a704f828a0620c6fa0207c1b64/uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7", size = 21678, upload-time = "2023-06-21T01:49:05.374Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e7/00/3fca040d7cf8a32776d3d81a00c8ee7457e00f80c649f1e4a863c8321ae9/uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363", size = 11140, upload-time = "2023-06-21T01:49:03.467Z" }, +] + +[[package]] +name = "urllib3" +version = "2.4.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/8a/78/16493d9c386d8e60e442a35feac5e00f0913c0f4b7c217c11e8ec2ff53e0/urllib3-2.4.0.tar.gz", hash = "sha256:414bc6535b787febd7567804cc015fee39daab8ad86268f1310a9250697de466", size = 390672, upload-time = "2025-04-10T15:23:39.232Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/6b/11/cc635220681e93a0183390e26485430ca2c7b5f9d33b15c74c2861cb8091/urllib3-2.4.0-py3-none-any.whl", hash = "sha256:4e16665048960a0900c702d4a66415956a584919c03361cac9f1df5c5dd7e813", size = 128680, upload-time = "2025-04-10T15:23:37.377Z" }, +] + +[[package]] +name = "virtualenv" +version = "20.31.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "distlib" }, + { name = "filelock" }, + { name = "platformdirs" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/56/2c/444f465fb2c65f40c3a104fd0c495184c4f2336d65baf398e3c75d72ea94/virtualenv-20.31.2.tar.gz", hash = "sha256:e10c0a9d02835e592521be48b332b6caee6887f332c111aa79a09b9e79efc2af", size = 6076316, upload-time = "2025-05-08T17:58:23.811Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f3/40/b1c265d4b2b62b58576588510fc4d1fe60a86319c8de99fd8e9fec617d2c/virtualenv-20.31.2-py3-none-any.whl", hash = "sha256:36efd0d9650ee985f0cad72065001e66d49a6f24eb44d98980f630686243cf11", size = 6057982, upload-time = "2025-05-08T17:58:21.15Z" }, +] + +[[package]] +name = "wadler-lindig" +version = "0.1.6" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/4d/c8/e2112ecb627e01c9e2911f9b388167231c23a114946946d046f4e9535118/wadler_lindig-0.1.6.tar.gz", hash = "sha256:8b6adad9718291a7d82fb088a596b93659ce2346321ca76819810affbc66102b", size = 15812, upload-time = "2025-05-14T22:26:16.012Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d1/9a/937038f3efc70871fb26b0ee6148efcfcfb96643c517c2aaddd7ed07ad76/wadler_lindig-0.1.6-py3-none-any.whl", hash = "sha256:d707f63994c7d3e1e125e7fb7e196f4adb6f80f4a11beb955c6da937754026a3", size = 20483, upload-time = "2025-05-14T22:26:14.574Z" }, +] + +[[package]] +name = "wandb" +version = "0.19.11" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "click" }, + { name = "docker-pycreds" }, + { name = "gitpython" }, + { name = "platformdirs" }, + { name = "protobuf" }, + { name = "psutil" }, + { name = "pydantic" }, + { name = "pyyaml" }, + { name = "requests" }, + { name = "sentry-sdk" }, + { name = "setproctitle" }, + { name = "setuptools" }, + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/39/98/0ff2925a21b998d4b84731429f4554ca3d9b5cad42c09c075e7306c3aca0/wandb-0.19.11.tar.gz", hash = "sha256:3f50a27dfadbb25946a513ffe856c0e8e538b5626ef207aa50b00c3b0356bff8", size = 39511477, upload-time = "2025-05-07T20:50:01.341Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/4f/2c/f8bab58c73fdde4442f1baffd9ea5d1bb3113906a97a27e8d9ab72db7a69/wandb-0.19.11-py3-none-any.whl", hash = "sha256:ff3bf050ba25ebae7aedc9a775ffab90c28068832edfe5458423f488c2558f82", size = 6481327, upload-time = "2025-05-07T20:49:33.461Z" }, + { url = "https://files.pythonhosted.org/packages/45/4a/34b364280f690f4c6d7660f528fba9f13bdecabc4c869d266a4632cf836e/wandb-0.19.11-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:0823fd9aa6343f40c04e01959997ca8c6d6adf1bd81c8d45261fa4915f1c6b67", size = 20555751, upload-time = "2025-05-07T20:49:36.392Z" }, + { url = "https://files.pythonhosted.org/packages/d8/e6/a27868fdb83a60df37b9d15e52c3353dd88d74442f27ae48cf765c6b9554/wandb-0.19.11-py3-none-macosx_11_0_arm64.whl", hash = "sha256:c758ef5439599d9023db5b3cf1698477055d82f9fae48af2779f63f1d289167c", size = 20377587, upload-time = "2025-05-07T20:49:39.126Z" }, + { url = "https://files.pythonhosted.org/packages/21/f7/d5cf5b58c2b3015364c7b2b6af6a440cbeda4103b67332e1e64b30f6252d/wandb-0.19.11-py3-none-macosx_11_0_x86_64.whl", hash = "sha256:de2dfd4911e7691735e271654c735e7b90cdee9d29a3796fbf06e9e92d48f3d7", size = 20985041, upload-time = "2025-05-07T20:49:41.571Z" }, + { url = "https://files.pythonhosted.org/packages/68/06/8b827f16a0b8f18002d2fffa7c5a7fd447946e0d0c68aeec0dd7eb18cdd3/wandb-0.19.11-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfff738850770d26b13f8f3fe400a6456f1e39e87f3f29d5aa241b249476df95", size = 20017696, upload-time = "2025-05-07T20:49:44.04Z" }, + { url = "https://files.pythonhosted.org/packages/f9/31/eeb2878b26566c04c3e9b8b20b3ec3c54a2be50535088d36a37c008e07a3/wandb-0.19.11-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8ff673007448df11cc69379ae0df28ead866800dc1ec7bc151b402db0bbcf40", size = 21425857, upload-time = "2025-05-07T20:49:46.347Z" }, + { url = "https://files.pythonhosted.org/packages/10/30/08988360678ae78334bb16625c28260fcaba49f500b89f8766807cb74d71/wandb-0.19.11-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:858bc5023fa1b3285d89d15f62be78afdb28301064daa49ea3f4ebde5dcedad2", size = 20023145, upload-time = "2025-05-07T20:49:48.965Z" }, + { url = "https://files.pythonhosted.org/packages/c8/e9/a639c42c8ca517c4d25e8970d64d0c5a9bd35b784faed5f47d9cca3dcd12/wandb-0.19.11-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:90e4b57649896acb16c3dd41b3093df1a169c2f1d94ff15d76af86b8a60dcdac", size = 21504842, upload-time = "2025-05-07T20:49:51.628Z" }, + { url = "https://files.pythonhosted.org/packages/44/74/dbe9277dd935b77dd16939cdf15357766fec0813a6e336cf5f1d07eb016e/wandb-0.19.11-py3-none-win32.whl", hash = "sha256:38dea43c7926d8800405a73b80b9adfe81eb315fc6f2ac6885c77eb966634421", size = 20767584, upload-time = "2025-05-07T20:49:56.629Z" }, + { url = "https://files.pythonhosted.org/packages/36/d5/215cac3edec5c5ac6e7231beb9d22466d5d4e4a132fa3a1d044f7d682c15/wandb-0.19.11-py3-none-win_amd64.whl", hash = "sha256:73402003c56ddc2198878492ab2bff55bb49bce5587eae5960e737d27c0c48f7", size = 20767588, upload-time = "2025-05-07T20:49:58.85Z" }, +] + +[[package]] +name = "wcwidth" +version = "0.2.13" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/6c/63/53559446a878410fc5a5974feb13d31d78d752eb18aeba59c7fef1af7598/wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5", size = 101301, upload-time = "2024-01-06T02:10:57.829Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/fd/84/fd2ba7aafacbad3c4201d395674fc6348826569da3c0937e75505ead3528/wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859", size = 34166, upload-time = "2024-01-06T02:10:55.763Z" }, +] + +[[package]] +name = "webcolors" +version = "24.11.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/7b/29/061ec845fb58521848f3739e466efd8250b4b7b98c1b6c5bf4d40b419b7e/webcolors-24.11.1.tar.gz", hash = "sha256:ecb3d768f32202af770477b8b65f318fa4f566c22948673a977b00d589dd80f6", size = 45064, upload-time = "2024-11-11T07:43:24.224Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/60/e8/c0e05e4684d13459f93d312077a9a2efbe04d59c393bc2b8802248c908d4/webcolors-24.11.1-py3-none-any.whl", hash = "sha256:515291393b4cdf0eb19c155749a096f779f7d909f7cceea072791cb9095b92e9", size = 14934, upload-time = "2024-11-11T07:43:22.529Z" }, +] + +[[package]] +name = "webencodings" +version = "0.5.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/0b/02/ae6ceac1baeda530866a85075641cec12989bd8d31af6d5ab4a3e8c92f47/webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923", size = 9721, upload-time = "2017-04-05T20:21:34.189Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78", size = 11774, upload-time = "2017-04-05T20:21:32.581Z" }, +] + +[[package]] +name = "websocket-client" +version = "1.8.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/e6/30/fba0d96b4b5fbf5948ed3f4681f7da2f9f64512e1d303f94b4cc174c24a5/websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da", size = 54648, upload-time = "2024-04-23T22:16:16.976Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5a/84/44687a29792a70e111c5c477230a72c4b957d88d16141199bf9acb7537a3/websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526", size = 58826, upload-time = "2024-04-23T22:16:14.422Z" }, +] + +[[package]] +name = "werkzeug" +version = "3.1.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "markupsafe" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/9f/69/83029f1f6300c5fb2471d621ab06f6ec6b3324685a2ce0f9777fd4a8b71e/werkzeug-3.1.3.tar.gz", hash = "sha256:60723ce945c19328679790e3282cc758aa4a6040e4bb330f53d30fa546d44746", size = 806925, upload-time = "2024-11-08T15:52:18.093Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/52/24/ab44c871b0f07f491e5d2ad12c9bd7358e527510618cb1b803a88e986db1/werkzeug-3.1.3-py3-none-any.whl", hash = "sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e", size = 224498, upload-time = "2024-11-08T15:52:16.132Z" }, +] + +[[package]] +name = "widgetsnbextension" +version = "4.0.14" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/41/53/2e0253c5efd69c9656b1843892052a31c36d37ad42812b5da45c62191f7e/widgetsnbextension-4.0.14.tar.gz", hash = "sha256:a3629b04e3edb893212df862038c7232f62973373869db5084aed739b437b5af", size = 1097428, upload-time = "2025-04-10T13:01:25.628Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ca/51/5447876806d1088a0f8f71e16542bf350918128d0a69437df26047c8e46f/widgetsnbextension-4.0.14-py3-none-any.whl", hash = "sha256:4875a9eaf72fbf5079dc372a51a9f268fc38d46f767cbf85c43a36da5cb9b575", size = 2196503, upload-time = "2025-04-10T13:01:23.086Z" }, +] + +[[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/bb/8a/0e9feca390d512d293afd844d31670e25608c4a901e10202aa98785eab09/xxhash-3.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ece616532c499ee9afbb83078b1b952beffef121d989841f7f4b3dc5ac0fd212", size = 31970, upload-time = "2024-08-17T09:17:35.675Z" }, + { url = "https://files.pythonhosted.org/packages/16/e6/be5aa49580cd064a18200ab78e29b88b1127e1a8c7955eb8ecf81f2626eb/xxhash-3.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3171f693dbc2cef6477054a665dc255d996646b4023fe56cb4db80e26f4cc520", size = 30801, upload-time = "2024-08-17T09:17:37.353Z" }, + { url = "https://files.pythonhosted.org/packages/20/ee/b8a99ebbc6d1113b3a3f09e747fa318c3cde5b04bd9c197688fadf0eeae8/xxhash-3.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7c5d3e570ef46adaf93fc81b44aca6002b5a4d8ca11bd0580c07eac537f36680", size = 220927, upload-time = "2024-08-17T09:17:38.835Z" }, + { url = "https://files.pythonhosted.org/packages/58/62/15d10582ef159283a5c2b47f6d799fc3303fe3911d5bb0bcc820e1ef7ff4/xxhash-3.5.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7cb29a034301e2982df8b1fe6328a84f4b676106a13e9135a0d7e0c3e9f806da", size = 200360, upload-time = "2024-08-17T09:17:40.851Z" }, + { url = "https://files.pythonhosted.org/packages/23/41/61202663ea9b1bd8e53673b8ec9e2619989353dba8cfb68e59a9cbd9ffe3/xxhash-3.5.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5d0d307d27099bb0cbeea7260eb39ed4fdb99c5542e21e94bb6fd29e49c57a23", size = 428528, upload-time = "2024-08-17T09:17:42.545Z" }, + { url = "https://files.pythonhosted.org/packages/f2/07/d9a3059f702dec5b3b703737afb6dda32f304f6e9da181a229dafd052c29/xxhash-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0342aafd421795d740e514bc9858ebddfc705a75a8c5046ac56d85fe97bf196", size = 194149, upload-time = "2024-08-17T09:17:44.361Z" }, + { url = "https://files.pythonhosted.org/packages/eb/58/27caadf78226ecf1d62dbd0c01d152ed381c14c1ee4ad01f0d460fc40eac/xxhash-3.5.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3dbbd9892c5ebffeca1ed620cf0ade13eb55a0d8c84e0751a6653adc6ac40d0c", size = 207703, upload-time = "2024-08-17T09:17:46.656Z" }, + { url = "https://files.pythonhosted.org/packages/b1/08/32d558ce23e1e068453c39aed7b3c1cdc690c177873ec0ca3a90d5808765/xxhash-3.5.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4cc2d67fdb4d057730c75a64c5923abfa17775ae234a71b0200346bfb0a7f482", size = 216255, upload-time = "2024-08-17T09:17:48.031Z" }, + { url = "https://files.pythonhosted.org/packages/3f/d4/2b971e2d2b0a61045f842b622ef11e94096cf1f12cd448b6fd426e80e0e2/xxhash-3.5.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:ec28adb204b759306a3d64358a5e5c07d7b1dd0ccbce04aa76cb9377b7b70296", size = 202744, upload-time = "2024-08-17T09:17:50.045Z" }, + { url = "https://files.pythonhosted.org/packages/19/ae/6a6438864a8c4c39915d7b65effd85392ebe22710412902487e51769146d/xxhash-3.5.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:1328f6d8cca2b86acb14104e381225a3d7b42c92c4b86ceae814e5c400dbb415", size = 210115, upload-time = "2024-08-17T09:17:51.834Z" }, + { url = "https://files.pythonhosted.org/packages/48/7d/b3c27c27d1fc868094d02fe4498ccce8cec9fcc591825c01d6bcb0b4fc49/xxhash-3.5.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:8d47ebd9f5d9607fd039c1fbf4994e3b071ea23eff42f4ecef246ab2b7334198", size = 414247, upload-time = "2024-08-17T09:17:53.094Z" }, + { url = "https://files.pythonhosted.org/packages/a1/05/918f9e7d2fbbd334b829997045d341d6239b563c44e683b9a7ef8fe50f5d/xxhash-3.5.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b96d559e0fcddd3343c510a0fe2b127fbff16bf346dd76280b82292567523442", size = 191419, upload-time = "2024-08-17T09:17:54.906Z" }, + { url = "https://files.pythonhosted.org/packages/08/29/dfe393805b2f86bfc47c290b275f0b7c189dc2f4e136fd4754f32eb18a8d/xxhash-3.5.0-cp310-cp310-win32.whl", hash = "sha256:61c722ed8d49ac9bc26c7071eeaa1f6ff24053d553146d5df031802deffd03da", size = 30114, upload-time = "2024-08-17T09:17:56.566Z" }, + { url = "https://files.pythonhosted.org/packages/7b/d7/aa0b22c4ebb7c3ccb993d4c565132abc641cd11164f8952d89eb6a501909/xxhash-3.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:9bed5144c6923cc902cd14bb8963f2d5e034def4486ab0bbe1f58f03f042f9a9", size = 30003, upload-time = "2024-08-17T09:17:57.596Z" }, + { url = "https://files.pythonhosted.org/packages/69/12/f969b81541ee91b55f1ce469d7ab55079593c80d04fd01691b550e535000/xxhash-3.5.0-cp310-cp310-win_arm64.whl", hash = "sha256:893074d651cf25c1cc14e3bea4fceefd67f2921b1bb8e40fcfeba56820de80c6", size = 26773, upload-time = "2024-08-17T09:17:59.169Z" }, + { 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" }, + { url = "https://files.pythonhosted.org/packages/c9/b8/e4b3ad92d249be5c83fa72916c9091b0965cb0faeff05d9a0a3870ae6bff/xxhash-3.5.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:37889a0d13b0b7d739cfc128b1c902f04e32de17b33d74b637ad42f1c55101f6", size = 31795, upload-time = "2024-08-17T09:18:46.813Z" }, + { url = "https://files.pythonhosted.org/packages/fc/d8/b3627a0aebfbfa4c12a41e22af3742cf08c8ea84f5cc3367b5de2d039cce/xxhash-3.5.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:97a662338797c660178e682f3bc180277b9569a59abfb5925e8620fba00b9fc5", size = 30792, upload-time = "2024-08-17T09:18:47.862Z" }, + { url = "https://files.pythonhosted.org/packages/c3/cc/762312960691da989c7cd0545cb120ba2a4148741c6ba458aa723c00a3f8/xxhash-3.5.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7f85e0108d51092bdda90672476c7d909c04ada6923c14ff9d913c4f7dc8a3bc", size = 220950, upload-time = "2024-08-17T09:18:49.06Z" }, + { url = "https://files.pythonhosted.org/packages/fe/e9/cc266f1042c3c13750e86a535496b58beb12bf8c50a915c336136f6168dc/xxhash-3.5.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cd2fd827b0ba763ac919440042302315c564fdb797294d86e8cdd4578e3bc7f3", size = 199980, upload-time = "2024-08-17T09:18:50.445Z" }, + { url = "https://files.pythonhosted.org/packages/bf/85/a836cd0dc5cc20376de26b346858d0ac9656f8f730998ca4324921a010b9/xxhash-3.5.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:82085c2abec437abebf457c1d12fccb30cc8b3774a0814872511f0f0562c768c", size = 428324, upload-time = "2024-08-17T09:18:51.988Z" }, + { url = "https://files.pythonhosted.org/packages/b4/0e/15c243775342ce840b9ba34aceace06a1148fa1630cd8ca269e3223987f5/xxhash-3.5.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07fda5de378626e502b42b311b049848c2ef38784d0d67b6f30bb5008642f8eb", size = 194370, upload-time = "2024-08-17T09:18:54.164Z" }, + { url = "https://files.pythonhosted.org/packages/87/a1/b028bb02636dfdc190da01951d0703b3d904301ed0ef6094d948983bef0e/xxhash-3.5.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c279f0d2b34ef15f922b77966640ade58b4ccdfef1c4d94b20f2a364617a493f", size = 207911, upload-time = "2024-08-17T09:18:55.509Z" }, + { url = "https://files.pythonhosted.org/packages/80/d5/73c73b03fc0ac73dacf069fdf6036c9abad82de0a47549e9912c955ab449/xxhash-3.5.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:89e66ceed67b213dec5a773e2f7a9e8c58f64daeb38c7859d8815d2c89f39ad7", size = 216352, upload-time = "2024-08-17T09:18:57.073Z" }, + { url = "https://files.pythonhosted.org/packages/b6/2a/5043dba5ddbe35b4fe6ea0a111280ad9c3d4ba477dd0f2d1fe1129bda9d0/xxhash-3.5.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:bcd51708a633410737111e998ceb3b45d3dbc98c0931f743d9bb0a209033a326", size = 203410, upload-time = "2024-08-17T09:18:58.54Z" }, + { url = "https://files.pythonhosted.org/packages/a2/b2/9a8ded888b7b190aed75b484eb5c853ddd48aa2896e7b59bbfbce442f0a1/xxhash-3.5.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:3ff2c0a34eae7df88c868be53a8dd56fbdf592109e21d4bfa092a27b0bf4a7bf", size = 210322, upload-time = "2024-08-17T09:18:59.943Z" }, + { url = "https://files.pythonhosted.org/packages/98/62/440083fafbc917bf3e4b67c2ade621920dd905517e85631c10aac955c1d2/xxhash-3.5.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:4e28503dccc7d32e0b9817aa0cbfc1f45f563b2c995b7a66c4c8a0d232e840c7", size = 414725, upload-time = "2024-08-17T09:19:01.332Z" }, + { url = "https://files.pythonhosted.org/packages/75/db/009206f7076ad60a517e016bb0058381d96a007ce3f79fa91d3010f49cc2/xxhash-3.5.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a6c50017518329ed65a9e4829154626f008916d36295b6a3ba336e2458824c8c", size = 192070, upload-time = "2024-08-17T09:19:03.007Z" }, + { url = "https://files.pythonhosted.org/packages/1f/6d/c61e0668943a034abc3a569cdc5aeae37d686d9da7e39cf2ed621d533e36/xxhash-3.5.0-cp313-cp313-win32.whl", hash = "sha256:53a068fe70301ec30d868ece566ac90d873e3bb059cf83c32e76012c889b8637", size = 30172, upload-time = "2024-08-17T09:19:04.355Z" }, + { url = "https://files.pythonhosted.org/packages/96/14/8416dce965f35e3d24722cdf79361ae154fa23e2ab730e5323aa98d7919e/xxhash-3.5.0-cp313-cp313-win_amd64.whl", hash = "sha256:80babcc30e7a1a484eab952d76a4f4673ff601f54d5142c26826502740e70b43", size = 30041, upload-time = "2024-08-17T09:19:05.435Z" }, + { url = "https://files.pythonhosted.org/packages/27/ee/518b72faa2073f5aa8e3262408d284892cb79cf2754ba0c3a5870645ef73/xxhash-3.5.0-cp313-cp313-win_arm64.whl", hash = "sha256:4811336f1ce11cac89dcbd18f3a25c527c16311709a89313c3acaf771def2d4b", size = 26801, upload-time = "2024-08-17T09:19:06.547Z" }, + { url = "https://files.pythonhosted.org/packages/ab/9a/233606bada5bd6f50b2b72c45de3d9868ad551e83893d2ac86dc7bb8553a/xxhash-3.5.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:2014c5b3ff15e64feecb6b713af12093f75b7926049e26a580e94dcad3c73d8c", size = 29732, upload-time = "2024-08-17T09:20:11.175Z" }, + { url = "https://files.pythonhosted.org/packages/0c/67/f75276ca39e2c6604e3bee6c84e9db8a56a4973fde9bf35989787cf6e8aa/xxhash-3.5.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fab81ef75003eda96239a23eda4e4543cedc22e34c373edcaf744e721a163986", size = 36214, upload-time = "2024-08-17T09:20:12.335Z" }, + { url = "https://files.pythonhosted.org/packages/0f/f8/f6c61fd794229cc3848d144f73754a0c107854372d7261419dcbbd286299/xxhash-3.5.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e2febf914ace002132aa09169cc572e0d8959d0f305f93d5828c4836f9bc5a6", size = 32020, upload-time = "2024-08-17T09:20:13.537Z" }, + { url = "https://files.pythonhosted.org/packages/79/d3/c029c99801526f859e6b38d34ab87c08993bf3dcea34b11275775001638a/xxhash-3.5.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5d3a10609c51da2a1c0ea0293fc3968ca0a18bd73838455b5bca3069d7f8e32b", size = 40515, upload-time = "2024-08-17T09:20:14.669Z" }, + { url = "https://files.pythonhosted.org/packages/62/e3/bef7b82c1997579c94de9ac5ea7626d01ae5858aa22bf4fcb38bf220cb3e/xxhash-3.5.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:5a74f23335b9689b66eb6dbe2a931a88fcd7a4c2cc4b1cb0edba8ce381c7a1da", size = 30064, upload-time = "2024-08-17T09:20:15.925Z" }, +] + +[[package]] +name = "yarl" +version = "1.20.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "idna" }, + { name = "multidict" }, + { name = "propcache" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/62/51/c0edba5219027f6eab262e139f73e2417b0f4efffa23bf562f6e18f76ca5/yarl-1.20.0.tar.gz", hash = "sha256:686d51e51ee5dfe62dec86e4866ee0e9ed66df700d55c828a615640adc885307", size = 185258, upload-time = "2025-04-17T00:45:14.661Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/00/ab/66082639f99d7ef647a86b2ff4ca20f8ae13bd68a6237e6e166b8eb92edf/yarl-1.20.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f1f6670b9ae3daedb325fa55fbe31c22c8228f6e0b513772c2e1c623caa6ab22", size = 145054, upload-time = "2025-04-17T00:41:27.071Z" }, + { url = "https://files.pythonhosted.org/packages/3d/c2/4e78185c453c3ca02bd11c7907394d0410d26215f9e4b7378648b3522a30/yarl-1.20.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:85a231fa250dfa3308f3c7896cc007a47bc76e9e8e8595c20b7426cac4884c62", size = 96811, upload-time = "2025-04-17T00:41:30.235Z" }, + { url = "https://files.pythonhosted.org/packages/c7/45/91e31dccdcf5b7232dcace78bd51a1bb2d7b4b96c65eece0078b620587d1/yarl-1.20.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1a06701b647c9939d7019acdfa7ebbfbb78ba6aa05985bb195ad716ea759a569", size = 94566, upload-time = "2025-04-17T00:41:32.023Z" }, + { url = "https://files.pythonhosted.org/packages/c8/21/e0aa650bcee881fb804331faa2c0f9a5d6be7609970b2b6e3cdd414e174b/yarl-1.20.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7595498d085becc8fb9203aa314b136ab0516c7abd97e7d74f7bb4eb95042abe", size = 327297, upload-time = "2025-04-17T00:41:34.03Z" }, + { url = "https://files.pythonhosted.org/packages/1a/a4/58f10870f5c17595c5a37da4c6a0b321589b7d7976e10570088d445d0f47/yarl-1.20.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:af5607159085dcdb055d5678fc2d34949bd75ae6ea6b4381e784bbab1c3aa195", size = 323578, upload-time = "2025-04-17T00:41:36.492Z" }, + { url = "https://files.pythonhosted.org/packages/07/df/2506b1382cc0c4bb0d22a535dc3e7ccd53da9a59b411079013a7904ac35c/yarl-1.20.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:95b50910e496567434cb77a577493c26bce0f31c8a305135f3bda6a2483b8e10", size = 343212, upload-time = "2025-04-17T00:41:38.396Z" }, + { url = "https://files.pythonhosted.org/packages/ba/4a/d1c901d0e2158ad06bb0b9a92473e32d992f98673b93c8a06293e091bab0/yarl-1.20.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b594113a301ad537766b4e16a5a6750fcbb1497dcc1bc8a4daae889e6402a634", size = 337956, upload-time = "2025-04-17T00:41:40.519Z" }, + { url = "https://files.pythonhosted.org/packages/8b/fd/10fcf7d86f49b1a11096d6846257485ef32e3d3d322e8a7fdea5b127880c/yarl-1.20.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:083ce0393ea173cd37834eb84df15b6853b555d20c52703e21fbababa8c129d2", size = 333889, upload-time = "2025-04-17T00:41:42.437Z" }, + { url = "https://files.pythonhosted.org/packages/e2/cd/bae926a25154ba31c5fd15f2aa6e50a545c840e08d85e2e2e0807197946b/yarl-1.20.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4f1a350a652bbbe12f666109fbddfdf049b3ff43696d18c9ab1531fbba1c977a", size = 322282, upload-time = "2025-04-17T00:41:44.641Z" }, + { url = "https://files.pythonhosted.org/packages/e2/c6/c3ac3597dfde746c63c637c5422cf3954ebf622a8de7f09892d20a68900d/yarl-1.20.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:fb0caeac4a164aadce342f1597297ec0ce261ec4532bbc5a9ca8da5622f53867", size = 336270, upload-time = "2025-04-17T00:41:46.812Z" }, + { url = "https://files.pythonhosted.org/packages/dd/42/417fd7b8da5846def29712370ea8916a4be2553de42a2c969815153717be/yarl-1.20.0-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:d88cc43e923f324203f6ec14434fa33b85c06d18d59c167a0637164863b8e995", size = 335500, upload-time = "2025-04-17T00:41:48.896Z" }, + { url = "https://files.pythonhosted.org/packages/37/aa/c2339683f8f05f4be16831b6ad58d04406cf1c7730e48a12f755da9f5ac5/yarl-1.20.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e52d6ed9ea8fd3abf4031325dc714aed5afcbfa19ee4a89898d663c9976eb487", size = 339672, upload-time = "2025-04-17T00:41:50.965Z" }, + { url = "https://files.pythonhosted.org/packages/be/12/ab6c4df95f00d7bc9502bf07a92d5354f11d9d3cb855222a6a8d2bd6e8da/yarl-1.20.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:ce360ae48a5e9961d0c730cf891d40698a82804e85f6e74658fb175207a77cb2", size = 351840, upload-time = "2025-04-17T00:41:53.074Z" }, + { url = "https://files.pythonhosted.org/packages/83/3c/08d58c51bbd3899be3e7e83cd7a691fdcf3b9f78b8699d663ecc2c090ab7/yarl-1.20.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:06d06c9d5b5bc3eb56542ceeba6658d31f54cf401e8468512447834856fb0e61", size = 359550, upload-time = "2025-04-17T00:41:55.517Z" }, + { url = "https://files.pythonhosted.org/packages/8a/15/de7906c506f85fb476f0edac4bd74569f49e5ffdcf98e246a0313bf593b9/yarl-1.20.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:c27d98f4e5c4060582f44e58309c1e55134880558f1add7a87c1bc36ecfade19", size = 351108, upload-time = "2025-04-17T00:41:57.582Z" }, + { url = "https://files.pythonhosted.org/packages/25/04/c6754f5ae2cdf057ac094ac01137c17875b629b1c29ed75354626a755375/yarl-1.20.0-cp310-cp310-win32.whl", hash = "sha256:f4d3fa9b9f013f7050326e165c3279e22850d02ae544ace285674cb6174b5d6d", size = 86733, upload-time = "2025-04-17T00:41:59.757Z" }, + { url = "https://files.pythonhosted.org/packages/db/1f/5c1952f3d983ac3f5fb079b5b13b62728f8a73fd27d03e1cef7e476addff/yarl-1.20.0-cp310-cp310-win_amd64.whl", hash = "sha256:bc906b636239631d42eb8a07df8359905da02704a868983265603887ed68c076", size = 92916, upload-time = "2025-04-17T00:42:02.177Z" }, + { url = "https://files.pythonhosted.org/packages/60/82/a59d8e21b20ffc836775fa7daedac51d16bb8f3010c4fcb495c4496aa922/yarl-1.20.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:fdb5204d17cb32b2de2d1e21c7461cabfacf17f3645e4b9039f210c5d3378bf3", size = 145178, upload-time = "2025-04-17T00:42:04.511Z" }, + { url = "https://files.pythonhosted.org/packages/ba/81/315a3f6f95947cfbf37c92d6fbce42a1a6207b6c38e8c2b452499ec7d449/yarl-1.20.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:eaddd7804d8e77d67c28d154ae5fab203163bd0998769569861258e525039d2a", size = 96859, upload-time = "2025-04-17T00:42:06.43Z" }, + { url = "https://files.pythonhosted.org/packages/ad/17/9b64e575583158551b72272a1023cdbd65af54fe13421d856b2850a6ddb7/yarl-1.20.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:634b7ba6b4a85cf67e9df7c13a7fb2e44fa37b5d34501038d174a63eaac25ee2", size = 94647, upload-time = "2025-04-17T00:42:07.976Z" }, + { url = "https://files.pythonhosted.org/packages/2c/29/8f291e7922a58a21349683f6120a85701aeefaa02e9f7c8a2dc24fe3f431/yarl-1.20.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d409e321e4addf7d97ee84162538c7258e53792eb7c6defd0c33647d754172e", size = 355788, upload-time = "2025-04-17T00:42:09.902Z" }, + { url = "https://files.pythonhosted.org/packages/26/6d/b4892c80b805c42c228c6d11e03cafabf81662d371b0853e7f0f513837d5/yarl-1.20.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:ea52f7328a36960ba3231c6677380fa67811b414798a6e071c7085c57b6d20a9", size = 344613, upload-time = "2025-04-17T00:42:11.768Z" }, + { url = "https://files.pythonhosted.org/packages/d7/0e/517aa28d3f848589bae9593717b063a544b86ba0a807d943c70f48fcf3bb/yarl-1.20.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c8703517b924463994c344dcdf99a2d5ce9eca2b6882bb640aa555fb5efc706a", size = 370953, upload-time = "2025-04-17T00:42:13.983Z" }, + { url = "https://files.pythonhosted.org/packages/5f/9b/5bd09d2f1ad6e6f7c2beae9e50db78edd2cca4d194d227b958955573e240/yarl-1.20.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:077989b09ffd2f48fb2d8f6a86c5fef02f63ffe6b1dd4824c76de7bb01e4f2e2", size = 369204, upload-time = "2025-04-17T00:42:16.386Z" }, + { url = "https://files.pythonhosted.org/packages/9c/85/d793a703cf4bd0d4cd04e4b13cc3d44149470f790230430331a0c1f52df5/yarl-1.20.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0acfaf1da020253f3533526e8b7dd212838fdc4109959a2c53cafc6db611bff2", size = 358108, upload-time = "2025-04-17T00:42:18.622Z" }, + { url = "https://files.pythonhosted.org/packages/6f/54/b6c71e13549c1f6048fbc14ce8d930ac5fb8bafe4f1a252e621a24f3f1f9/yarl-1.20.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b4230ac0b97ec5eeb91d96b324d66060a43fd0d2a9b603e3327ed65f084e41f8", size = 346610, upload-time = "2025-04-17T00:42:20.9Z" }, + { url = "https://files.pythonhosted.org/packages/a0/1a/d6087d58bdd0d8a2a37bbcdffac9d9721af6ebe50d85304d9f9b57dfd862/yarl-1.20.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:0a6a1e6ae21cdd84011c24c78d7a126425148b24d437b5702328e4ba640a8902", size = 365378, upload-time = "2025-04-17T00:42:22.926Z" }, + { url = "https://files.pythonhosted.org/packages/02/84/e25ddff4cbc001dbc4af76f8d41a3e23818212dd1f0a52044cbc60568872/yarl-1.20.0-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:86de313371ec04dd2531f30bc41a5a1a96f25a02823558ee0f2af0beaa7ca791", size = 356919, upload-time = "2025-04-17T00:42:25.145Z" }, + { url = "https://files.pythonhosted.org/packages/04/76/898ae362353bf8f64636495d222c8014c8e5267df39b1a9fe1e1572fb7d0/yarl-1.20.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:dd59c9dd58ae16eaa0f48c3d0cbe6be8ab4dc7247c3ff7db678edecbaf59327f", size = 364248, upload-time = "2025-04-17T00:42:27.475Z" }, + { url = "https://files.pythonhosted.org/packages/1b/b0/9d9198d83a622f1c40fdbf7bd13b224a6979f2e1fc2cf50bfb1d8773c495/yarl-1.20.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:a0bc5e05f457b7c1994cc29e83b58f540b76234ba6b9648a4971ddc7f6aa52da", size = 378418, upload-time = "2025-04-17T00:42:29.333Z" }, + { url = "https://files.pythonhosted.org/packages/c7/ce/1f50c1cc594cf5d3f5bf4a9b616fca68680deaec8ad349d928445ac52eb8/yarl-1.20.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:c9471ca18e6aeb0e03276b5e9b27b14a54c052d370a9c0c04a68cefbd1455eb4", size = 383850, upload-time = "2025-04-17T00:42:31.668Z" }, + { url = "https://files.pythonhosted.org/packages/89/1e/a59253a87b35bfec1a25bb5801fb69943330b67cfd266278eb07e0609012/yarl-1.20.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:40ed574b4df723583a26c04b298b283ff171bcc387bc34c2683235e2487a65a5", size = 381218, upload-time = "2025-04-17T00:42:33.523Z" }, + { url = "https://files.pythonhosted.org/packages/85/b0/26f87df2b3044b0ef1a7cf66d321102bdca091db64c5ae853fcb2171c031/yarl-1.20.0-cp311-cp311-win32.whl", hash = "sha256:db243357c6c2bf3cd7e17080034ade668d54ce304d820c2a58514a4e51d0cfd6", size = 86606, upload-time = "2025-04-17T00:42:35.873Z" }, + { url = "https://files.pythonhosted.org/packages/33/46/ca335c2e1f90446a77640a45eeb1cd8f6934f2c6e4df7db0f0f36ef9f025/yarl-1.20.0-cp311-cp311-win_amd64.whl", hash = "sha256:8c12cd754d9dbd14204c328915e23b0c361b88f3cffd124129955e60a4fbfcfb", size = 93374, upload-time = "2025-04-17T00:42:37.586Z" }, + { url = "https://files.pythonhosted.org/packages/c3/e8/3efdcb83073df978bb5b1a9cc0360ce596680e6c3fac01f2a994ccbb8939/yarl-1.20.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:e06b9f6cdd772f9b665e5ba8161968e11e403774114420737f7884b5bd7bdf6f", size = 147089, upload-time = "2025-04-17T00:42:39.602Z" }, + { url = "https://files.pythonhosted.org/packages/60/c3/9e776e98ea350f76f94dd80b408eaa54e5092643dbf65fd9babcffb60509/yarl-1.20.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b9ae2fbe54d859b3ade40290f60fe40e7f969d83d482e84d2c31b9bff03e359e", size = 97706, upload-time = "2025-04-17T00:42:41.469Z" }, + { url = "https://files.pythonhosted.org/packages/0c/5b/45cdfb64a3b855ce074ae607b9fc40bc82e7613b94e7612b030255c93a09/yarl-1.20.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6d12b8945250d80c67688602c891237994d203d42427cb14e36d1a732eda480e", size = 95719, upload-time = "2025-04-17T00:42:43.666Z" }, + { url = "https://files.pythonhosted.org/packages/2d/4e/929633b249611eeed04e2f861a14ed001acca3ef9ec2a984a757b1515889/yarl-1.20.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:087e9731884621b162a3e06dc0d2d626e1542a617f65ba7cc7aeab279d55ad33", size = 343972, upload-time = "2025-04-17T00:42:45.391Z" }, + { url = "https://files.pythonhosted.org/packages/49/fd/047535d326c913f1a90407a3baf7ff535b10098611eaef2c527e32e81ca1/yarl-1.20.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:69df35468b66c1a6e6556248e6443ef0ec5f11a7a4428cf1f6281f1879220f58", size = 339639, upload-time = "2025-04-17T00:42:47.552Z" }, + { url = "https://files.pythonhosted.org/packages/48/2f/11566f1176a78f4bafb0937c0072410b1b0d3640b297944a6a7a556e1d0b/yarl-1.20.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3b2992fe29002fd0d4cbaea9428b09af9b8686a9024c840b8a2b8f4ea4abc16f", size = 353745, upload-time = "2025-04-17T00:42:49.406Z" }, + { url = "https://files.pythonhosted.org/packages/26/17/07dfcf034d6ae8837b33988be66045dd52f878dfb1c4e8f80a7343f677be/yarl-1.20.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4c903e0b42aab48abfbac668b5a9d7b6938e721a6341751331bcd7553de2dcae", size = 354178, upload-time = "2025-04-17T00:42:51.588Z" }, + { url = "https://files.pythonhosted.org/packages/15/45/212604d3142d84b4065d5f8cab6582ed3d78e4cc250568ef2a36fe1cf0a5/yarl-1.20.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf099e2432131093cc611623e0b0bcc399b8cddd9a91eded8bfb50402ec35018", size = 349219, upload-time = "2025-04-17T00:42:53.674Z" }, + { url = "https://files.pythonhosted.org/packages/e6/e0/a10b30f294111c5f1c682461e9459935c17d467a760c21e1f7db400ff499/yarl-1.20.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8a7f62f5dc70a6c763bec9ebf922be52aa22863d9496a9a30124d65b489ea672", size = 337266, upload-time = "2025-04-17T00:42:55.49Z" }, + { url = "https://files.pythonhosted.org/packages/33/a6/6efa1d85a675d25a46a167f9f3e80104cde317dfdf7f53f112ae6b16a60a/yarl-1.20.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:54ac15a8b60382b2bcefd9a289ee26dc0920cf59b05368c9b2b72450751c6eb8", size = 360873, upload-time = "2025-04-17T00:42:57.895Z" }, + { url = "https://files.pythonhosted.org/packages/77/67/c8ab718cb98dfa2ae9ba0f97bf3cbb7d45d37f13fe1fbad25ac92940954e/yarl-1.20.0-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:25b3bc0763a7aca16a0f1b5e8ef0f23829df11fb539a1b70476dcab28bd83da7", size = 360524, upload-time = "2025-04-17T00:43:00.094Z" }, + { url = "https://files.pythonhosted.org/packages/bd/e8/c3f18660cea1bc73d9f8a2b3ef423def8dadbbae6c4afabdb920b73e0ead/yarl-1.20.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b2586e36dc070fc8fad6270f93242124df68b379c3a251af534030a4a33ef594", size = 365370, upload-time = "2025-04-17T00:43:02.242Z" }, + { url = "https://files.pythonhosted.org/packages/c9/99/33f3b97b065e62ff2d52817155a89cfa030a1a9b43fee7843ef560ad9603/yarl-1.20.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:866349da9d8c5290cfefb7fcc47721e94de3f315433613e01b435473be63daa6", size = 373297, upload-time = "2025-04-17T00:43:04.189Z" }, + { url = "https://files.pythonhosted.org/packages/3d/89/7519e79e264a5f08653d2446b26d4724b01198a93a74d2e259291d538ab1/yarl-1.20.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:33bb660b390a0554d41f8ebec5cd4475502d84104b27e9b42f5321c5192bfcd1", size = 378771, upload-time = "2025-04-17T00:43:06.609Z" }, + { url = "https://files.pythonhosted.org/packages/3a/58/6c460bbb884abd2917c3eef6f663a4a873f8dc6f498561fc0ad92231c113/yarl-1.20.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:737e9f171e5a07031cbee5e9180f6ce21a6c599b9d4b2c24d35df20a52fabf4b", size = 375000, upload-time = "2025-04-17T00:43:09.01Z" }, + { url = "https://files.pythonhosted.org/packages/3b/2a/dd7ed1aa23fea996834278d7ff178f215b24324ee527df53d45e34d21d28/yarl-1.20.0-cp312-cp312-win32.whl", hash = "sha256:839de4c574169b6598d47ad61534e6981979ca2c820ccb77bf70f4311dd2cc64", size = 86355, upload-time = "2025-04-17T00:43:11.311Z" }, + { url = "https://files.pythonhosted.org/packages/ca/c6/333fe0338305c0ac1c16d5aa7cc4841208d3252bbe62172e0051006b5445/yarl-1.20.0-cp312-cp312-win_amd64.whl", hash = "sha256:3d7dbbe44b443b0c4aa0971cb07dcb2c2060e4a9bf8d1301140a33a93c98e18c", size = 92904, upload-time = "2025-04-17T00:43:13.087Z" }, + { url = "https://files.pythonhosted.org/packages/0f/6f/514c9bff2900c22a4f10e06297714dbaf98707143b37ff0bcba65a956221/yarl-1.20.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:2137810a20b933b1b1b7e5cf06a64c3ed3b4747b0e5d79c9447c00db0e2f752f", size = 145030, upload-time = "2025-04-17T00:43:15.083Z" }, + { url = "https://files.pythonhosted.org/packages/4e/9d/f88da3fa319b8c9c813389bfb3463e8d777c62654c7168e580a13fadff05/yarl-1.20.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:447c5eadd750db8389804030d15f43d30435ed47af1313303ed82a62388176d3", size = 96894, upload-time = "2025-04-17T00:43:17.372Z" }, + { url = "https://files.pythonhosted.org/packages/cd/57/92e83538580a6968b2451d6c89c5579938a7309d4785748e8ad42ddafdce/yarl-1.20.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:42fbe577272c203528d402eec8bf4b2d14fd49ecfec92272334270b850e9cd7d", size = 94457, upload-time = "2025-04-17T00:43:19.431Z" }, + { url = "https://files.pythonhosted.org/packages/e9/ee/7ee43bd4cf82dddd5da97fcaddb6fa541ab81f3ed564c42f146c83ae17ce/yarl-1.20.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:18e321617de4ab170226cd15006a565d0fa0d908f11f724a2c9142d6b2812ab0", size = 343070, upload-time = "2025-04-17T00:43:21.426Z" }, + { url = "https://files.pythonhosted.org/packages/4a/12/b5eccd1109e2097bcc494ba7dc5de156e41cf8309fab437ebb7c2b296ce3/yarl-1.20.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:4345f58719825bba29895011e8e3b545e6e00257abb984f9f27fe923afca2501", size = 337739, upload-time = "2025-04-17T00:43:23.634Z" }, + { url = "https://files.pythonhosted.org/packages/7d/6b/0eade8e49af9fc2585552f63c76fa59ef469c724cc05b29519b19aa3a6d5/yarl-1.20.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5d9b980d7234614bc4674468ab173ed77d678349c860c3af83b1fffb6a837ddc", size = 351338, upload-time = "2025-04-17T00:43:25.695Z" }, + { url = "https://files.pythonhosted.org/packages/45/cb/aaaa75d30087b5183c7b8a07b4fb16ae0682dd149a1719b3a28f54061754/yarl-1.20.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:af4baa8a445977831cbaa91a9a84cc09debb10bc8391f128da2f7bd070fc351d", size = 353636, upload-time = "2025-04-17T00:43:27.876Z" }, + { url = "https://files.pythonhosted.org/packages/98/9d/d9cb39ec68a91ba6e66fa86d97003f58570327d6713833edf7ad6ce9dde5/yarl-1.20.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:123393db7420e71d6ce40d24885a9e65eb1edefc7a5228db2d62bcab3386a5c0", size = 348061, upload-time = "2025-04-17T00:43:29.788Z" }, + { url = "https://files.pythonhosted.org/packages/72/6b/103940aae893d0cc770b4c36ce80e2ed86fcb863d48ea80a752b8bda9303/yarl-1.20.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ab47acc9332f3de1b39e9b702d9c916af7f02656b2a86a474d9db4e53ef8fd7a", size = 334150, upload-time = "2025-04-17T00:43:31.742Z" }, + { url = "https://files.pythonhosted.org/packages/ef/b2/986bd82aa222c3e6b211a69c9081ba46484cffa9fab2a5235e8d18ca7a27/yarl-1.20.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4a34c52ed158f89876cba9c600b2c964dfc1ca52ba7b3ab6deb722d1d8be6df2", size = 362207, upload-time = "2025-04-17T00:43:34.099Z" }, + { url = "https://files.pythonhosted.org/packages/14/7c/63f5922437b873795d9422cbe7eb2509d4b540c37ae5548a4bb68fd2c546/yarl-1.20.0-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:04d8cfb12714158abf2618f792c77bc5c3d8c5f37353e79509608be4f18705c9", size = 361277, upload-time = "2025-04-17T00:43:36.202Z" }, + { url = "https://files.pythonhosted.org/packages/81/83/450938cccf732466953406570bdb42c62b5ffb0ac7ac75a1f267773ab5c8/yarl-1.20.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:7dc63ad0d541c38b6ae2255aaa794434293964677d5c1ec5d0116b0e308031f5", size = 364990, upload-time = "2025-04-17T00:43:38.551Z" }, + { url = "https://files.pythonhosted.org/packages/b4/de/af47d3a47e4a833693b9ec8e87debb20f09d9fdc9139b207b09a3e6cbd5a/yarl-1.20.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:f9d02b591a64e4e6ca18c5e3d925f11b559c763b950184a64cf47d74d7e41877", size = 374684, upload-time = "2025-04-17T00:43:40.481Z" }, + { url = "https://files.pythonhosted.org/packages/62/0b/078bcc2d539f1faffdc7d32cb29a2d7caa65f1a6f7e40795d8485db21851/yarl-1.20.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:95fc9876f917cac7f757df80a5dda9de59d423568460fe75d128c813b9af558e", size = 382599, upload-time = "2025-04-17T00:43:42.463Z" }, + { url = "https://files.pythonhosted.org/packages/74/a9/4fdb1a7899f1fb47fd1371e7ba9e94bff73439ce87099d5dd26d285fffe0/yarl-1.20.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:bb769ae5760cd1c6a712135ee7915f9d43f11d9ef769cb3f75a23e398a92d384", size = 378573, upload-time = "2025-04-17T00:43:44.797Z" }, + { url = "https://files.pythonhosted.org/packages/fd/be/29f5156b7a319e4d2e5b51ce622b4dfb3aa8d8204cd2a8a339340fbfad40/yarl-1.20.0-cp313-cp313-win32.whl", hash = "sha256:70e0c580a0292c7414a1cead1e076c9786f685c1fc4757573d2967689b370e62", size = 86051, upload-time = "2025-04-17T00:43:47.076Z" }, + { url = "https://files.pythonhosted.org/packages/52/56/05fa52c32c301da77ec0b5f63d2d9605946fe29defacb2a7ebd473c23b81/yarl-1.20.0-cp313-cp313-win_amd64.whl", hash = "sha256:4c43030e4b0af775a85be1fa0433119b1565673266a70bf87ef68a9d5ba3174c", size = 92742, upload-time = "2025-04-17T00:43:49.193Z" }, + { url = "https://files.pythonhosted.org/packages/d4/2f/422546794196519152fc2e2f475f0e1d4d094a11995c81a465faf5673ffd/yarl-1.20.0-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:b6c4c3d0d6a0ae9b281e492b1465c72de433b782e6b5001c8e7249e085b69051", size = 163575, upload-time = "2025-04-17T00:43:51.533Z" }, + { url = "https://files.pythonhosted.org/packages/90/fc/67c64ddab6c0b4a169d03c637fb2d2a212b536e1989dec8e7e2c92211b7f/yarl-1.20.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:8681700f4e4df891eafa4f69a439a6e7d480d64e52bf460918f58e443bd3da7d", size = 106121, upload-time = "2025-04-17T00:43:53.506Z" }, + { url = "https://files.pythonhosted.org/packages/6d/00/29366b9eba7b6f6baed7d749f12add209b987c4cfbfa418404dbadc0f97c/yarl-1.20.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:84aeb556cb06c00652dbf87c17838eb6d92cfd317799a8092cee0e570ee11229", size = 103815, upload-time = "2025-04-17T00:43:55.41Z" }, + { url = "https://files.pythonhosted.org/packages/28/f4/a2a4c967c8323c03689383dff73396281ced3b35d0ed140580825c826af7/yarl-1.20.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f166eafa78810ddb383e930d62e623d288fb04ec566d1b4790099ae0f31485f1", size = 408231, upload-time = "2025-04-17T00:43:57.825Z" }, + { url = "https://files.pythonhosted.org/packages/0f/a1/66f7ffc0915877d726b70cc7a896ac30b6ac5d1d2760613603b022173635/yarl-1.20.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:5d3d6d14754aefc7a458261027a562f024d4f6b8a798adb472277f675857b1eb", size = 390221, upload-time = "2025-04-17T00:44:00.526Z" }, + { url = "https://files.pythonhosted.org/packages/41/15/cc248f0504610283271615e85bf38bc014224122498c2016d13a3a1b8426/yarl-1.20.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2a8f64df8ed5d04c51260dbae3cc82e5649834eebea9eadfd829837b8093eb00", size = 411400, upload-time = "2025-04-17T00:44:02.853Z" }, + { url = "https://files.pythonhosted.org/packages/5c/af/f0823d7e092bfb97d24fce6c7269d67fcd1aefade97d0a8189c4452e4d5e/yarl-1.20.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4d9949eaf05b4d30e93e4034a7790634bbb41b8be2d07edd26754f2e38e491de", size = 411714, upload-time = "2025-04-17T00:44:04.904Z" }, + { url = "https://files.pythonhosted.org/packages/83/70/be418329eae64b9f1b20ecdaac75d53aef098797d4c2299d82ae6f8e4663/yarl-1.20.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c366b254082d21cc4f08f522ac201d0d83a8b8447ab562732931d31d80eb2a5", size = 404279, upload-time = "2025-04-17T00:44:07.721Z" }, + { url = "https://files.pythonhosted.org/packages/19/f5/52e02f0075f65b4914eb890eea1ba97e6fd91dd821cc33a623aa707b2f67/yarl-1.20.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:91bc450c80a2e9685b10e34e41aef3d44ddf99b3a498717938926d05ca493f6a", size = 384044, upload-time = "2025-04-17T00:44:09.708Z" }, + { url = "https://files.pythonhosted.org/packages/6a/36/b0fa25226b03d3f769c68d46170b3e92b00ab3853d73127273ba22474697/yarl-1.20.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9c2aa4387de4bc3a5fe158080757748d16567119bef215bec643716b4fbf53f9", size = 416236, upload-time = "2025-04-17T00:44:11.734Z" }, + { url = "https://files.pythonhosted.org/packages/cb/3a/54c828dd35f6831dfdd5a79e6c6b4302ae2c5feca24232a83cb75132b205/yarl-1.20.0-cp313-cp313t-musllinux_1_2_armv7l.whl", hash = "sha256:d2cbca6760a541189cf87ee54ff891e1d9ea6406079c66341008f7ef6ab61145", size = 402034, upload-time = "2025-04-17T00:44:13.975Z" }, + { url = "https://files.pythonhosted.org/packages/10/97/c7bf5fba488f7e049f9ad69c1b8fdfe3daa2e8916b3d321aa049e361a55a/yarl-1.20.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:798a5074e656f06b9fad1a162be5a32da45237ce19d07884d0b67a0aa9d5fdda", size = 407943, upload-time = "2025-04-17T00:44:16.052Z" }, + { url = "https://files.pythonhosted.org/packages/fd/a4/022d2555c1e8fcff08ad7f0f43e4df3aba34f135bff04dd35d5526ce54ab/yarl-1.20.0-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:f106e75c454288472dbe615accef8248c686958c2e7dd3b8d8ee2669770d020f", size = 423058, upload-time = "2025-04-17T00:44:18.547Z" }, + { url = "https://files.pythonhosted.org/packages/4c/f6/0873a05563e5df29ccf35345a6ae0ac9e66588b41fdb7043a65848f03139/yarl-1.20.0-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:3b60a86551669c23dc5445010534d2c5d8a4e012163218fc9114e857c0586fdd", size = 423792, upload-time = "2025-04-17T00:44:20.639Z" }, + { url = "https://files.pythonhosted.org/packages/9e/35/43fbbd082708fa42e923f314c24f8277a28483d219e049552e5007a9aaca/yarl-1.20.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:3e429857e341d5e8e15806118e0294f8073ba9c4580637e59ab7b238afca836f", size = 422242, upload-time = "2025-04-17T00:44:22.851Z" }, + { url = "https://files.pythonhosted.org/packages/ed/f7/f0f2500cf0c469beb2050b522c7815c575811627e6d3eb9ec7550ddd0bfe/yarl-1.20.0-cp313-cp313t-win32.whl", hash = "sha256:65a4053580fe88a63e8e4056b427224cd01edfb5f951498bfefca4052f0ce0ac", size = 93816, upload-time = "2025-04-17T00:44:25.491Z" }, + { url = "https://files.pythonhosted.org/packages/3f/93/f73b61353b2a699d489e782c3f5998b59f974ec3156a2050a52dfd7e8946/yarl-1.20.0-cp313-cp313t-win_amd64.whl", hash = "sha256:53b2da3a6ca0a541c1ae799c349788d480e5144cac47dba0266c7cb6c76151fe", size = 101093, upload-time = "2025-04-17T00:44:27.418Z" }, + { url = "https://files.pythonhosted.org/packages/ea/1f/70c57b3d7278e94ed22d85e09685d3f0a38ebdd8c5c73b65ba4c0d0fe002/yarl-1.20.0-py3-none-any.whl", hash = "sha256:5d0fe6af927a47a230f31e6004621fd0959eaa915fc62acfafa67ff7229a3124", size = 46124, upload-time = "2025-04-17T00:45:12.199Z" }, +] diff --git a/watcher.py b/watcher.py index 179a963..794adcb 100644 --- a/watcher.py +++ b/watcher.py @@ -2,23 +2,19 @@ # not using watchdog because there are too many saved files # but we want to just watch when these files are created # */checkpoints/it_*/hypermod.pt (for HyperLoRA) -import itertools -import shutil -import time -import os import argparse import gc +import itertools +import os +import time from glob import glob -import numpy as np -import pandas as pd -import wandb -import yaml import torch +import yaml +import wandb from eval import evaluate - CP_PATTERN = "train_outputs/runs/*/checkpoint*/pytorch_model.bin" @@ -55,11 +51,13 @@ class Watcher: def load_state(self): if not os.path.exists("watcher_state.yaml"): return - with open("watcher_state.yaml", "r") as f: + with open("watcher_state.yaml") as f: state = yaml.safe_load(f) self.last_files = state["last_files"] +# TODO: run eval on "validation" split during training +# using function from `src/ctx-to-lora/eval.py` if __name__ == "__main__": os.environ["TRANSFORMERS_NO_ADVISORY_WARNINGS"] = "true" os.environ["FLASH_ATTENTION_DETERMINISTIC"] = "1" @@ -94,9 +92,7 @@ if __name__ == "__main__": run_dir = file.split("/checkpoint")[0] cur_it = int(file.split("checkpoint-")[1].split("/")[0]) checkpoint_dir = os.path.dirname(file) - args = argparse.Namespace( - **yaml.unsafe_load(open(f"{run_dir}/args.yaml", "r")) - ) + args = argparse.Namespace(**yaml.unsafe_load(open(f"{run_dir}/args.yaml"))) args.output_dir = f"{run_dir}/eval-results-{cur_it}" args.logging_dir = f"{run_dir}/eval-results-{cur_it}" args.run_name = run_dir.split("/")[-1] diff --git a/webui/app.py b/webui/app.py index 1d035f3..970ba05 100644 --- a/webui/app.py +++ b/webui/app.py @@ -1,14 +1,13 @@ import json import os -import re from glob import glob import torch import yaml from flask import Flask, abort, jsonify, render_template, request -from transformers import pipeline, AutoTokenizer +from transformers import pipeline -from ctx_to_lora.data_utils import tokenize_ctx_text +from ctx_to_lora.data.processing import tokenize_ctx_text from ctx_to_lora.model_loading import get_tokenizer app = Flask(__name__) @@ -132,11 +131,9 @@ def get_generated_text_data(run_path: str) -> dict: generated_data = {} # Find all *_generated_text.jsonl files in the current directory, excluding _no_context_ variants files = sorted( - [ - f - for f in glob(os.path.join(run_path, "*_generated_text.jsonl")) - if "_no_context_generated_text.jsonl" not in os.path.basename(f) - ] + f + for f in glob(os.path.join(run_path, "*_generated_text.jsonl")) + if "_no_context_generated_text.jsonl" not in os.path.basename(f) ) print(f"Processing generated text files from {run_path}: {files}") @@ -159,11 +156,9 @@ def get_generated_text_data(run_path: str) -> dict: ]: subdir_name = os.path.basename(subdir_path) subdir_files = sorted( - [ - f - for f in glob(os.path.join(subdir_path, "*_generated_text.jsonl")) - if "_no_context_generated_text.jsonl" not in os.path.basename(f) - ] + f + for f in glob(os.path.join(subdir_path, "*_generated_text.jsonl")) + if "_no_context_generated_text.jsonl" not in os.path.basename(f) ) print( f"Processing generated text files from subdirectory {subdir_path}: {subdir_files}" @@ -259,7 +254,7 @@ def get_available_checkpoints(run): return [] checkpoints = sorted( - [d for d in glob(os.path.join(logdir, "checkpoint-*")) if os.path.isdir(d)], + (d for d in glob(os.path.join(logdir, "checkpoint-*")) if os.path.isdir(d)), key=lambda d: int(d.split("-")[-1]), ) @@ -282,7 +277,7 @@ def load_custom_chat_template(tokenizer, model_name): if "gemma" in model_name.lower(): template_path = "chat_templates/google/gemma-2-2b-it.jinja" if os.path.exists(template_path): - with open(template_path, "r") as f: + with open(template_path) as f: template_content = f.read() tokenizer.chat_template = template_content print(f"Loaded custom chat template from {template_path}") @@ -292,7 +287,7 @@ def load_custom_chat_template(tokenizer, model_name): elif "meta-llama" in model_name.lower() or "llama" in model_name.lower(): template_path = "chat_templates/meta-llama/llama-2-7b-chat.jinja" if os.path.exists(template_path): - with open(template_path, "r") as f: + with open(template_path) as f: template_content = f.read() tokenizer.chat_template = template_content print(f"Loaded custom chat template from {template_path}") @@ -478,7 +473,7 @@ def load_checkpoint(): # Unload the regular chat model to avoid confusion chat_generator = None - from ctx_to_lora.modeling_utils import ModulatedPretrainedModel + from ctx_to_lora.modeling.hypernet import ModulatedPretrainedModel run = request.form["run"] checkpoint = request.form["checkpoint"] @@ -592,8 +587,6 @@ def chat(): # Process context and generate LoRA for the response ctx_tokenizer = None with torch.inference_mode(), torch.amp.autocast(str(device)): - from transformers import AutoTokenizer - # Get the contexts and tokenize them contexts = request.form.getlist("contexts[]") if not contexts: @@ -603,7 +596,9 @@ def chat(): if len(contexts) == 1 and not contexts[0].strip(): contexts = [""] - print(f"Processing {len(contexts)} contexts for response generation") + print( + f"Processing {len(contexts)} contexts for response generation" + ) print(f"Contexts: {contexts}") ctx_encoder_model_name_or_path = ( modulated_model.ctx_encoder_args.ctx_encoder_model_name_or_path