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[pre-commit.ci] pre-commit autoupdate #1222

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Merged
wenhuach21 merged 2 commits into from
Jan 6, 2026
Merged

[pre-commit.ci] pre-commit autoupdate #1222

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22eb7cb
[pre-commit.ci] pre-commit autoupdate
pre-commit-ci[bot] Jan 5, 2026
e72d051
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jan 5, 2026
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8 changes: 4 additions & 4 deletions .pre-commit-config.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@ repos:
]

- repo: https://github.com/psf/black-pre-commit-mirror
rev: 25.9.0
rev: 25.12.0
hooks:
- id: black
files: (.*\.py)$
Expand All @@ -52,17 +52,17 @@ repos:
- tomli

- repo: https://github.com/crate-ci/typos
rev: v1.38.1
rev: v1
hooks:
- id: typos

- repo: https://github.com/pycqa/isort
rev: 6.1.0
rev: 7.0.0
hooks:
- id: isort

- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.14.0
rev: v0.14.10
hooks:
- id: ruff
args: [--fix, --exit-non-zero-on-fix, --no-cache]
4 changes: 2 additions & 2 deletions auto_round/compressors/mllm/dataset.py
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Expand Up @@ -68,7 +68,7 @@ def __init__(
self,
template,
model,
tokenzier,
tokenizer,
dataset_path,
extra_data_dir=None,
seqlen=512,
Expand All @@ -80,7 +80,7 @@ def __init__(
self.model = model
self.model_type = template.model_type
self.template = template
self.tokenizer = tokenzier
self.tokenizer = tokenizer
if os.path.exists(dataset_path):
logger.info(f"use dataset {dataset_path}, loading from disk...")
self.questions = json.load(open(dataset_path, "r"))
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4 changes: 2 additions & 2 deletions test/test_cpu/test_mllm.py
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Expand Up @@ -99,11 +99,11 @@ class Myclass:
model_type = None

dataset = MLLM_DATASET["liuhaotian/llava"](
template=Myclass(), model=None, tokenzier=None, dataset_path="liuhaotian/llava", seqlen=32, nsamples=32
template=Myclass(), model=None, tokenizer=None, dataset_path="liuhaotian/llava", seqlen=32, nsamples=32
)
assert len(dataset.questions) == 32
dataset = MLLM_DATASET["liuhaotian/llava"](
template=Myclass(), model=None, tokenzier=None, dataset_path="liuhaotian/llava", seqlen=2048, nsamples=512
template=Myclass(), model=None, tokenizer=None, dataset_path="liuhaotian/llava", seqlen=2048, nsamples=512
)
assert len(dataset.questions) == 512

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