# Improvements to Arcade TDK Error Handling
I tried my very best to not make any breaking changes in this PR. So,
you will notice various "Deprecation" notices throughout.
### Instructions for PR reviewers
1. Pull down this PR's branch
2. Pull down the Engine's tool error handling PR's branch
3. Update your installed arcadepy to have the following:
- In `arcadepy/resources/tools/tools.py`, if you want to test out
including stacktraces, then you need to update `ToolsResource.execute`
to accept a `include_error_stacktrace` argument and also include the
"include_error_stacktrace" argument to the POST to the Engine inside of
the function's execute method's body.
- In `arcadepy/types/execute_tool_response.py` add the following enum
```py
class ErrorKind(str, Enum):
"""Error kind that is comprised of
- the who (toolkit, tool, upstream)
- the when (load time, definition parsing time, runtime)
- the what (bad_definition, bad_input, bad_output, retry,
context_required, fatal, etc.)"""
TOOLKIT_LOAD_FAILED = "TOOLKIT_LOAD_FAILED"
TOOL_DEFINITION_BAD_DEFINITION = "TOOL_DEFINITION_BAD_DEFINITION"
TOOL_DEFINITION_BAD_INPUT_SCHEMA = "TOOL_DEFINITION_BAD_INPUT_SCHEMA"
TOOL_DEFINITION_BAD_OUTPUT_SCHEMA = "TOOL_DEFINITION_BAD_OUTPUT_SCHEMA"
TOOL_RUNTIME_BAD_INPUT_VALUE = "TOOL_RUNTIME_BAD_INPUT_VALUE"
TOOL_RUNTIME_BAD_OUTPUT_VALUE = "TOOL_RUNTIME_BAD_OUTPUT_VALUE"
TOOL_RUNTIME_RETRY = "TOOL_RUNTIME_RETRY"
TOOL_RUNTIME_CONTEXT_REQUIRED = "TOOL_RUNTIME_CONTEXT_REQUIRED"
TOOL_RUNTIME_FATAL = "TOOL_RUNTIME_FATAL"
UPSTREAM_RUNTIME_BAD_REQUEST = "UPSTREAM_RUNTIME_BAD_REQUEST"
UPSTREAM_RUNTIME_AUTH_ERROR = "UPSTREAM_RUNTIME_AUTH_ERROR"
UPSTREAM_RUNTIME_NOT_FOUND = "UPSTREAM_RUNTIME_NOT_FOUND"
UPSTREAM_RUNTIME_VALIDATION_ERROR = "UPSTREAM_RUNTIME_VALIDATION_ERROR"
UPSTREAM_RUNTIME_RATE_LIMIT = "UPSTREAM_RUNTIME_RATE_LIMIT"
UPSTREAM_RUNTIME_SERVER_ERROR = "UPSTREAM_RUNTIME_SERVER_ERROR"
UPSTREAM_RUNTIME_UNMAPPED = "UPSTREAM_RUNTIME_UNMAPPED"
UNKNOWN = "UNKNOWN"
```
- In `arcadepy/types/execute_tool_response.py` add the following fields
to OutputError:
```py
kind: ErrorKind
status_code: Optional[int] = None
stacktrace: Optional[str] = None
extra: Optional[dict[str, Any]] = None
```
### Example Client Usage
```py
# Example of handling an upstream rate limit
error = response.output.error
if error and error.kind == ErrorKind.UPSTREAM_RUNTIME_RATE_LIMIT:
sleep_time = error.retry_after_ms / 1000
time.sleep(sleep_time)
# and then execute again
```
```py
# Examples of determining what type of runtime error it is
error = response.output.error
if error:
is_retryable_error = error.kind == ErrorKind.TOOL_RUNTIME_RETRY
is_a_bug_in_the_tool = error.kind == ErrorKind.TOOL_RUNTIME_FATAL
is_additional_context_required = error.kind == ErrorKind.TOOL_RUNTIME_CONTEXT_REQUIRED
```
### Example Tool Usage
```py
# EXAMPLE 1 letting Arcade handle upstream error handling for you
reddit_client.post(params) # Arcade's httpx adapter will handle error handling for you!
# ------------------------------------
# EXAMPLE 2 handling upstream bad request yourself, but letting Arcade handle the rest
try:
reddit_client.post(params)
except httpx.HTTPStatusError as e:
if e.status_code == 400:
raise UpstreamError("My extra custom message) from e
raise
```
```py
# EXAMPLE 1 letting Arcade handle it for you
risky_element = my_risky_list[42] # Arcade will raise a FatalToolError for you
# ------------------------------------
# EXAMPLE 2 handling it yourself for extra flexibility
try:
risky_element = my_risky_list[42]
except IndexError as e:
raise FatalToolError("My extra custom message") from e
```
### Non-runtime Error Message Examples
Example ToolkitLoadError Messages:
```
- [TOOLKIT_LOAD_FAILED] ToolkitLoadError when loading toolkit 'sample_tool': Could not import module mock_module. Reason: Mock import error
- [TOOLKIT_LOAD_FAILED] ToolkitLoadError when loading toolkit 'test_toolkit': Tool 'ValidTool' in toolkit 'test_toolkit' already exists in the catalog.
```
Example ToolDefinitionError Messages
```
- [TOOL_DEFINITION_BAD_DEFINITION] ToolDefinitionError in definition of tool 'tool_missing_description': Tool 'tool_missing_description' is missing a description
- [TOOL_DEFINITION_BAD_DEFINITION] ToolDefinitionError in definition of tool 'tool_with_invalid_secret_type': Secret keys must be strings (error in tool ToolWithInvalidSecretType).
- [TOOL_DEFINITION_BAD_DEFINITION] ToolDefinitionError in definition of tool 'tool_with_empty_secret': Secrets must have a non-empty key (error in tool ToolWithEmptySecret).
- [TOOL_DEFINITION_BAD_DEFINITION] ToolDefinitionError in definition of tool 'tool_with_invalid_metadata_type': Metadata must be strings (error in tool ToolWithInvalidMetadataType).
- [TOOL_DEFINITION_BAD_DEFINITION] ToolDefinitionError in definition of tool 'tool_with_metadata_requiring_auth_without_auth': Tool ToolWithMetadataRequiringAuthWithoutAuth declares metadata key 'client_id', which requires that the tool has an auth requirement, but no auth requirement was provided. Please specify an auth requirement.
- [TOOL_DEFINITION_BAD_DEFINITION] ToolDefinitionError in definition of tool 'tool_with_empty_metadata': Metadata must have a non-empty key (error in tool ToolWithEmptyMetadata).
- [TOOL_DEFINITION_BAD_DEFINITION] ToolDefinitionError in definition of tool 'tool_with_unsupported_param_type': Unsupported parameter type: <class 'test_catalog.MyFancyTestClass'>
```
Example ToolInputSchemaError Messages
```
- [TOOL_DEFINITION_BAD_INPUT_SCHEMA] ToolInputSchemaError in definition of tool 'tool_with_missing_input_parameter_annotation': Parameter 'input_text' is missing a description
- [TOOL_DEFINITION_BAD_INPUT_SCHEMA] ToolInputSchemaError in definition of tool 'tool_with_no_type_annotation': Parameter param has no type annotation.
- [TOOL_DEFINITION_BAD_INPUT_SCHEMA] ToolInputSchemaError in definition of tool 'tool_with_invalid_param_name': Invalid parameter name: '123invalid' is not a valid identifier. Identifiers must start with a letter or underscore, and can only contain letters, digits, or underscores.
- [TOOL_DEFINITION_BAD_INPUT_SCHEMA] ToolInputSchemaError in definition of tool 'tool_with_too_many_annotations': Parameter param: Annotated[str, 'name', 'desc', 'extra'] has too many string annotations. Expected 0, 1, or 2, got 3.
- [TOOL_DEFINITION_BAD_INPUT_SCHEMA] ToolInputSchemaError in definition of tool 'tool_with_required_union_param': Parameter param is a union type. Only optional types are supported.
- [TOOL_DEFINITION_BAD_INPUT_SCHEMA] ToolInputSchemaError in definition of tool 'tool_with_non_callable_default_factory': Default factory for parameter param: Annotated[str, 'Parameter'] = FieldInfo(annotation=NoneType, required=False, default_factory=str) is not callable.
- [TOOL_DEFINITION_BAD_INPUT_SCHEMA] ToolInputSchemaError in definition of tool 'tool_with_multiple_tool_contexts': Only one ToolContext parameter is supported, but tool tool_with_multiple_tool_contexts has multiple.
```
Example ToolOutputSchemaError Messages
```
- [TOOL_DEFINITION_BAD_OUTPUT_SCHEMA] ToolOutputSchemaError in definition of tool 'tool_missing_return_type_hint': Tool 'ToolMissingReturnTypeHint' must have a return type
- [TOOL_DEFINITION_BAD_OUTPUT_SCHEMA] ToolOutputSchemaError in definition of tool 'tool_with_unsupported_output_type': Unsupported output type '<class 'test_catalog.MyFancyTestClass'>'. Only built-in Python types, TypedDicts, Pydantic models, and standard collections are supported as tool output types.
```
### Runtime Error Message Examples
Example Tool Runtime Error Messages
```
- [TOOL_RUNTIME_FATAL] FatalToolError during execution of tool 'get_posts_in_subreddit': list index out of range
- [TOOL_RUNTIME_CONTEXT_REQUIRED] ContextRequiredToolError during execution of tool 'get_posts_in_subreddit': Ambiguous username. Please provide a more specific username
- [TOOL_RUNTIME_RETRY] RetryableToolError during execution of tool 'get_posts_in_subreddit': Retry with subreddit=learnpython or subreddit=learnprogramming
```
Example Upstream Runtime Error Messages
```
- [UPSTREAM_RUNTIME_RATE_LIMIT] UpstreamRateLimitError during execution of tool 'get_posts_in_subreddit': 429 Client Error: Too Many Requests
- [UPSTREAM_RUNTIME_BAD_REQUEST] UpstreamError during execution of tool 'get_posts_in_subreddit': 400 Client Error: Bad request. Missing 'id' parameter.
- [UPSTREAM_RUNTIME_BAD_REQUEST] UpstreamError during execution of tool 'search_files': Upstream Google API error: Invalid value '-23'. Values must be within the range: [value: 1\n, value: 1000\n]
```
152 lines
3.2 KiB
TOML
152 lines
3.2 KiB
TOML
[project]
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name = "arcade-ai"
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version = "2.2.0"
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description = "Arcade.dev - Tool Calling platform for Agents"
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readme = "README.md"
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license = {file = "LICENSE"}
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authors = [
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{name = "Arcade", email = "dev@arcade.dev"},
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]
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classifiers = [
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"Development Status :: 5 - Production/Stable",
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"Intended Audience :: Developers",
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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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]
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requires-python = ">=3.10"
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dependencies = [
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# CLI dependencies
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"arcade-core>=2.4.0,<3.0.0",
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"typer==0.10.0",
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"rich==13.9.4",
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"Jinja2==3.1.6",
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"arcadepy==1.5.0",
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"tqdm==4.67.1",
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"openai==1.82.1",
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"click==8.1.8",
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]
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[project.optional-dependencies]
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all = [
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# evals
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"scipy>=1.14.0",
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"numpy>=2.0.0",
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"scikit-learn>=1.5.0",
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"pytz>=2024.1",
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"python-dateutil>=2.8.2",
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# serve
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"arcade-serve>=2.1.0,<3.0.0",
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# tdk
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"arcade-tdk>=2.3.0,<3.0.0",
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]
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# Evals also depends on arcade-core and openai, but they are already required deps
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evals = [
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"scipy>=1.14.0",
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"numpy>=2.0.0",
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"scikit-learn>=1.5.0",
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"pytz>=2024.1",
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"python-dateutil>=2.8.2",
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]
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[tool.uv]
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dev-dependencies = [
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"pytest>=8.1.2",
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"pytest-cov>=4.0.0",
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"pytest-asyncio>=0.23.7",
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"mypy>=1.5.1",
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"pre-commit>=3.4.0",
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"ruff>=0.4.0",
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"types-PyYAML>=6.0.0",
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"types-python-dateutil>=2.8.2",
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"types-pytz>=2024.1",
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]
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# CLI entry point
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[project.scripts]
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arcade = "arcade_cli.main:cli"
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[tool.uv.sources]
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# Workspace member sources
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arcade-core = { workspace = true }
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arcade-tdk = { workspace = true }
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arcade-serve = { workspace = true }
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = [
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"libs/arcade-cli/arcade_cli",
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"libs/arcade-evals/arcade_evals",
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]
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[tool.uv.workspace]
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members = [
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"libs/arcade-core",
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"libs/arcade-tdk",
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"libs/arcade-serve",
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]
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[tool.mypy]
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python_version = "3.10"
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disallow_untyped_defs = true
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disallow_any_unimported = true
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no_implicit_optional = true
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check_untyped_defs = true
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warn_return_any = true
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warn_unused_ignores = true
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show_error_codes = true
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ignore_missing_imports = true
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exclude = [
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'.*{{.*}}.*' # Ignore files that have names that use Jinja template syntax
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]
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[tool.pytest.ini_options]
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testpaths = ["libs/tests"]
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python_files = ["test_*.py"]
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python_classes = ["Test*"]
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python_functions = ["test_*"]
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addopts = [
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"--strict-markers",
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"--strict-config",
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"--verbose",
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"--cov=libs",
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"--cov-report=term-missing",
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"--cov-report=html",
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"--cov-report=xml",
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]
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[tool.coverage.run]
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source = ["libs"]
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omit = [
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"*/tests/*",
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"*/test_*",
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"*/__pycache__/*",
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]
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[tool.coverage.report]
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exclude_lines = [
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"pragma: no cover",
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"def __repr__",
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"raise AssertionError",
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"raise NotImplementedError",
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"if __name__ == .__main__.:",
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"if TYPE_CHECKING:",
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]
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[tool.ruff]
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target-version = "py310"
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line-length = 100
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[tool.ruff.lint]
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select = ["E", "F", "I", "N", "UP", "RUF"]
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ignore = ["E501"]
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[tool.ruff.lint.per-file-ignores]
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"__init__.py" = ["F401"]
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