forked from phoenix-oss/llama-stack-mirror
build: format codebase imports using ruff linter (#1028)
# What does this PR do? - Configured ruff linter to automatically fix import sorting issues. - Set --exit-non-zero-on-fix to ensure non-zero exit code when fixes are applied. - Enabled the 'I' selection to focus on import-related linting rules. - Ran the linter, and formatted all codebase imports accordingly. - Removed the black dep from the "dev" group since we use ruff Signed-off-by: Sébastien Han <seb@redhat.com> [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan [Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.*] [//]: # (## Documentation) [//]: # (- [ ] Added a Changelog entry if the change is significant) Signed-off-by: Sébastien Han <seb@redhat.com>
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140 changed files with 139 additions and 243 deletions
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@ -29,9 +29,7 @@ from llama_stack.apis.scoring import (
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ScoringResultRow,
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)
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from llama_stack.apis.scoring_functions import ScoringFn, ScoringFnParams
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from llama_stack.distribution.datatypes import Api
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from llama_stack.distribution.request_headers import NeedsRequestProviderData
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from llama_stack.providers.datatypes import ScoringFunctionsProtocolPrivate
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from llama_stack.providers.utils.common.data_schema_validator import (
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@ -39,8 +37,8 @@ from llama_stack.providers.utils.common.data_schema_validator import (
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validate_dataset_schema,
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validate_row_schema,
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)
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from llama_stack.providers.utils.scoring.aggregation_utils import aggregate_metrics
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from .config import BraintrustScoringConfig
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from .scoring_fn.fn_defs.answer_correctness import answer_correctness_fn_def
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from .scoring_fn.fn_defs.answer_relevancy import answer_relevancy_fn_def
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@ -11,7 +11,6 @@ from llama_stack.apis.scoring_functions import (
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ScoringFn,
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)
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answer_correctness_fn_def = ScoringFn(
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identifier="braintrust::answer-correctness",
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description=(
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@ -11,7 +11,6 @@ from llama_stack.apis.scoring_functions import (
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ScoringFn,
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)
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factuality_fn_def = ScoringFn(
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identifier="braintrust::factuality",
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description=(
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