supervision/tests/utils/test_internal.py

200 lines
4.6 KiB
Python

from contextlib import ExitStack as DoesNotRaise
from dataclasses import dataclass, field
from typing import Any
import numpy as np
import pytest
from supervision.detection.core import Detections
from supervision.utils.internal import get_instance_variables
class MockClass:
def __init__(self):
self.public = 0
self._protected = 1
self.__private = 2
def public_method(self):
pass
def _protected_method(self):
pass
def __private_method(self):
pass
@property
def public_property(self):
return 0
@property
def _protected_property(self):
return 1
@property
def __private_property(self):
return 2
@dataclass
class MockDataclass:
public: int = 0
_protected: int = 1
__private: int = 2
public_field: int = field(default=0)
_protected_field: int = field(default=1)
__private_field: int = field(default=2)
public_field_with_factory: dict = field(default_factory=dict)
_protected_field_with_factory: dict = field(default_factory=dict)
__private_field_with_factory: dict = field(default_factory=dict)
def public_method(self):
pass
def _protected_method(self):
pass
def __private_method(self):
pass
@property
def public_property(self):
return 0
@property
def _protected_property(self):
return 1
@property
def __private_property(self):
return 2
@pytest.mark.parametrize(
("input_instance", "include_properties", "expected", "exception"),
[
(
MockClass,
False,
None,
pytest.raises(ValueError, match="Only class instances are supported"),
),
(
MockClass(),
False,
{"public"},
DoesNotRaise(),
),
(
MockClass(),
True,
{"public", "public_property"},
DoesNotRaise(),
),
(
MockDataclass(),
False,
{"public", "public_field", "public_field_with_factory"},
DoesNotRaise(),
),
(
MockDataclass(),
True,
{"public", "public_field", "public_field_with_factory", "public_property"},
DoesNotRaise(),
),
(
Detections,
False,
None,
pytest.raises(ValueError, match="Only class instances are supported"),
),
(
Detections,
True,
None,
pytest.raises(ValueError, match="Only class instances are supported"),
),
(
Detections.empty(),
False,
{
"xyxy",
"class_id",
"confidence",
"mask",
"tracker_id",
"data",
"metadata",
},
DoesNotRaise(),
),
(
Detections.empty(),
True,
{
"xyxy",
"class_id",
"confidence",
"mask",
"tracker_id",
"data",
"metadata",
"area",
"box_area",
"box_aspect_ratio",
},
DoesNotRaise(),
),
(
Detections(xyxy=np.array([[1, 2, 3, 4]])),
False,
{
"xyxy",
"class_id",
"confidence",
"mask",
"tracker_id",
"data",
"metadata",
},
DoesNotRaise(),
),
(
Detections(
xyxy=np.array([[1, 2, 3, 4], [5, 6, 7, 8]]),
class_id=np.array([1, 2]),
confidence=np.array([0.1, 0.2]),
mask=np.array([[[1]], [[2]]], dtype=bool),
tracker_id=np.array([1, 2]),
data={"key_1": [1, 2], "key_2": [3, 4]},
),
False,
{
"xyxy",
"class_id",
"confidence",
"mask",
"tracker_id",
"data",
"metadata",
},
DoesNotRaise(),
),
],
)
def test_get_instance_variables(
input_instance: Any,
include_properties: bool,
expected: set[str],
exception: Exception,
) -> None:
with exception:
result = get_instance_variables(
input_instance, include_properties=include_properties
)
assert result == expected