From f4ccf81b32e3afb10430ab794bc30f3da1bd7590 Mon Sep 17 00:00:00 2001 From: Isabel Zhong Date: Wed, 18 Dec 2024 11:41:36 -0800 Subject: [PATCH] up black ver --- poetry.lock | 4287 ++++++++++++++++++++------------------ pyproject.toml | 4 +- tests/test_prediction.py | 13 +- 3 files changed, 2307 insertions(+), 1997 deletions(-) diff --git a/poetry.lock b/poetry.lock index 6ab935b6..b727e753 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,14 +1,14 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. 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"scikit-learn", "scipy"] [metadata] lock-version = "2.0" -python-versions = ">=3.7,<4.0" -content-hash = "b3bb008292ce9ff72e09efd8098c50005ab80be2144cde1f2676be470cfd3eb4" +python-versions = ">=3.8,<4.0" +content-hash = "e25f07074f8a459ae373b7a898ec488348f318d770fb0e721e5a1f2f59c980f7" diff --git a/pyproject.toml b/pyproject.toml index ecad554e..72753d77 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,7 +36,7 @@ documentation = "https://dashboard.scale.com/nucleus/docs/api" packages = [{include="nucleus"}, {include="cli"}] [tool.poetry.dependencies] -python = ">=3.7,<4.0" +python = ">=3.8,<4.0" requests = "^2.23.0" tqdm = "^4.41.0" aiohttp = "^3.7.4" @@ -61,7 +61,7 @@ pytest = [ { version = ">=7.1.1", python = ">=3.7,<4.0" } ] pylint = ">=2.7.4" -black = "^23.3.0" +black = "^24.1.0" mypy = ">=0.812" coverage = "^5.5" pre-commit = ">=2.12.1" diff --git a/tests/test_prediction.py b/tests/test_prediction.py index af2406d5..718c2f6d 100644 --- a/tests/test_prediction.py +++ b/tests/test_prediction.py @@ -561,10 +561,9 @@ def test_default_category_pred_upload_update(model_run): # Copy so we don't modify the original. prediction_update_params = dict(TEST_DEFAULT_CATEGORY_PREDICTIONS[1]) - prediction_update_params[ - "reference_id" - ] = TEST_DEFAULT_CATEGORY_PREDICTIONS[0]["reference_id"] - + prediction_update_params["reference_id"] = ( + TEST_DEFAULT_CATEGORY_PREDICTIONS[0]["reference_id"] + ) prediction_update = CategoryPrediction.from_json(prediction_update_params) response = model_run.predict(annotations=[prediction_update], update=True) @@ -589,9 +588,9 @@ def test_default_category_pred_upload_ignore(model_run): # Copy so we don't modify the original. prediction_update_params = dict(TEST_DEFAULT_CATEGORY_PREDICTIONS[1]) - prediction_update_params[ - "reference_id" - ] = TEST_DEFAULT_CATEGORY_PREDICTIONS[0]["reference_id"] + prediction_update_params["reference_id"] = ( + TEST_DEFAULT_CATEGORY_PREDICTIONS[0]["reference_id"] + ) prediction_update = CategoryPrediction.from_json(prediction_update_params) # Default behavior is ignore.