.pytype.toml

# config file for https://pypi.org/project/pytype/
# generated via `pytype --generate-config .pytype.toml`
# run via `pytype --config .pytype.toml`

# NOTE: All relative paths are relative to the location of this file.

[tool.pytype]

# Space-separated list of files or directories to exclude.
exclude = [
    '**/*_test.py',
    '**/test_*.py',
]

# Space-separated list of files or directories to process.
inputs = [
    'serializable',
    # 'tests/model.py'
]

# Keep going past errors to analyze as many files as possible.
keep_going = true

# Run N jobs in parallel. When 'auto' is used, this will be equivalent to the
# number of CPUs on the host system.
# jobs = 4

# All pytype output goes here.
output = '.pytype'

# Platform (e.g., "linux", "win32") that the target code runs on.
# platform = 'linux'

# Paths to source code directories, separated by ':'.
pythonpath = '.'

# Python version (major.minor) of the target code.
# python_version = '3.8'

# Enable parameter count checks for overriding methods. This flag is temporary
# and will be removed once this behavior is enabled by default.
overriding_parameter_count_checks = true

# Enable parameter count checks for overriding methods with renamed arguments.
# This flag is temporary and will be removed once this behavior is enabled by
# default.
overriding_renamed_parameter_count_checks = false

# Use the enum overlay for more precise enum checking. This flag is temporary
# and will be removed once this behavior is enabled by default.
use_enum_overlay = false

# Variables initialized as None retain their None binding. This flag is
# temporary and will be removed once this behavior is enabled by default.
strict_none_binding = false

# Support the third-party fiddle library. This flag is temporary and will be
# removed once this behavior is enabled by default.
use_fiddle_overlay = false

# Opt-in: Do not allow Any as a return type.
no_return_any = false

# Experimental: Infer precise return types even for invalid function calls.
precise_return = false

# Experimental: Solve unknown types to label with structural types.
protocols = false

# Experimental: Only load submodules that are explicitly imported.
strict_import = false

# Experimental: Enable exhaustive checking of function parameter types.
strict_parameter_checks = false

# Experimental: Emit errors for comparisons between incompatible primitive
# types.
strict_primitive_comparisons = false

# Experimental: Check that variables are defined in all possible code paths.
strict_undefined_checks = false

# Space-separated list of error names to ignore.
disable = [
    'pyi-error',
]

# Don't report errors.
report_errors = true