How to Ignore Specific MyPy Errors
Ignoring errors with MyPy should be a precise, surgical process, not a broad suppression. The most effective way to handle known, persistent issues (like dynamically assigned attributes or known type inconsistencies in third-party libraries) is by using the # type: ignore comment combined with the exact MyPy Error Code.
An experienced developer always aims for the narrowest possible scope of suppression to maintain maximum type-checking coverage across the rest of the codebase.
1. The Core Technique: Line-Level Ignore with Error Codeβ
The best practice is to place the ignore comment on the line causing the error and specify the exact error code in square brackets ([...]).
Mechanism: # type: ignore[error-code]β
This approach is superior to a simple # type: ignore because:
- Clarity: It documents why the line is ignored.
- Safety: If the code changes and the original error code is fixed, MyPy will raise a new error saying the ignore tag is unused (if
warn_unused_ignores = Trueis set in your config), preventing redundant suppression.
Example A: Ignoring a Dynamic Attribute (attr-defined)β
This occurs when you assign an attribute to an object that wasn't explicitly defined in its class (a common dynamic Python pattern).
# Assume this class is defined elsewhere without slots
class DynamicObject:
pass
def process_data(data: dict):
# MyPy cannot know that 'status' will exist on obj.
obj = DynamicObject()
# β MyPy Error: "DynamicObject" has no attribute "status"
obj.status = data.get("status_code", 200) # type: ignore[attr-defined]
# This line is still checked for other errors!
return obj
Example B: Ignoring Untyped Call/Function (no-untyped-def)β
This occurs when calling a function from a legacy or third-party library that lacks type hints.
# Assume 'untyped_lib' has a function 'calculate_raw' without annotations
import untyped_lib
def process_result(x: float):
# β MyPy Error: Cannot infer type of 'calculate_raw'
# The return type might be unknown (Any)
raw_output = untyped_lib.calculate_raw(x) # type: ignore[no-untyped-call]
# We must explicitly cast or handle the type here if proceeding:
return int(raw_output)
2. Ignoring Specific Errors for an Entire Moduleβ
If an entire file relies on a highly dynamic pattern (e.g., a file dedicated to ORM reflection or metaprogramming) and generates dozens of a single type of error, you can suppress that error type at the module level via your configuration file (pyproject.toml or mypy.ini).
Mechanism: Configuration File Per-Module Settingsβ
This is far better than using line-level ignores everywhere in the file.
# pyproject.toml
[tool.mypy]
# Global settings...
# Target a specific module (e.g., my_project.dynamic_models)
[tool.mypy.my_project.dynamic_models]
# Tell MyPy to ignore all 'attr-defined' errors only in this file/module.
disable_error_codes = [
"attr-defined",
"operator", # e.g., if operators are overloaded in a way MyPy struggles with
]
Scope: The attr-defined error is now suppressed for the entire dynamic_models module, but all other MyPy checks (like ensuring int is not assigned to a str) remain active.
3. Ignoring Missing Imports for a Libraryβ
If a third-party library is not typed and is not included in the Typeshed stubs, MyPy will fail the build due to a "Cannot find implementation or library stub" error.
Mechanism: Per-Module ignore_missing_importsβ
This is the recommended way to silence these errors, as it keeps the global ignore_missing_imports flag off, which should generally be avoided.
# pyproject.toml
# Global settings...
[tool.mypy.untyped_vendor_lib]
# Ignore the "Cannot find module" error for this specific library
ignore_missing_imports = True
Summary Table of Ignore Techniquesβ
| Scope | Mechanism | Configuration | Best Use Case |
|---|---|---|---|
| Line-Level | # type: ignore[error-code] | Source Code Comment | Single, isolated dynamic code line. |
| Module-Level | disable_error_codes = [...] | pyproject.toml | Entire module relies on a dynamic pattern (e.g., ORM reflection). |
| Library-Level | ignore_missing_imports = True | pyproject.toml | External library lacks type stubs. |
