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6c1a433c4c
they might be thrown from third-party code (notably Ogre in the ovis module). While Linux is kind enough to print them, they cause instant termination on Windows. Arguably, they do not origin from OpenCV itself, but still this helps understanding what went wrong when calling an OpenCV function.
487 lines
26 KiB
Python
487 lines
26 KiB
Python
#!/usr/bin/env python
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from __future__ import print_function
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import ctypes
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from functools import partial
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from collections import namedtuple
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import numpy as np
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import cv2 as cv
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from tests_common import NewOpenCVTests, unittest
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def is_numeric(dtype):
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return np.issubdtype(dtype, np.integer) or np.issubdtype(dtype, np.floating)
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def get_limits(dtype):
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if not is_numeric(dtype):
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return None, None
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if np.issubdtype(dtype, np.integer):
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info = np.iinfo(dtype)
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else:
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info = np.finfo(dtype)
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return info.min, info.max
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def get_conversion_error_msg(value, expected, actual):
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return 'Conversion "{}" of type "{}" failed\nExpected: "{}" vs Actual "{}"'.format(
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value, type(value).__name__, expected, actual
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)
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def get_no_exception_msg(value):
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return 'Exception is not risen for {} of type {}'.format(value, type(value).__name__)
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class Bindings(NewOpenCVTests):
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def test_inheritance(self):
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bm = cv.StereoBM_create()
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bm.getPreFilterCap() # from StereoBM
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bm.getBlockSize() # from SteroMatcher
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boost = cv.ml.Boost_create()
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boost.getBoostType() # from ml::Boost
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boost.getMaxDepth() # from ml::DTrees
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boost.isClassifier() # from ml::StatModel
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def test_raiseGeneralException(self):
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with self.assertRaises((cv.error,),
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msg='C++ exception is not propagated to Python in the right way') as cm:
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cv.utils.testRaiseGeneralException()
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self.assertEqual(str(cm.exception), 'exception text')
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def test_redirectError(self):
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try:
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cv.imshow("", None) # This causes an assert
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self.assertEqual("Dead code", 0)
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except cv.error as _e:
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pass
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handler_called = [False]
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def test_error_handler(status, func_name, err_msg, file_name, line):
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handler_called[0] = True
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cv.redirectError(test_error_handler)
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try:
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cv.imshow("", None) # This causes an assert
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self.assertEqual("Dead code", 0)
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except cv.error as _e:
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self.assertEqual(handler_called[0], True)
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pass
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cv.redirectError(None)
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try:
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cv.imshow("", None) # This causes an assert
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self.assertEqual("Dead code", 0)
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except cv.error as _e:
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pass
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def test_overload_resolution_can_choose_correct_overload(self):
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val = 123
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point = (51, 165)
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self.assertEqual(cv.utils.testOverloadResolution(val, point),
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'overload (int={}, point=(x={}, y={}))'.format(val, *point),
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"Can't select first overload if all arguments are provided as positional")
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self.assertEqual(cv.utils.testOverloadResolution(val, point=point),
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'overload (int={}, point=(x={}, y={}))'.format(val, *point),
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"Can't select first overload if one of the arguments are provided as keyword")
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self.assertEqual(cv.utils.testOverloadResolution(val),
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'overload (int={}, point=(x=42, y=24))'.format(val),
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"Can't select first overload if one of the arguments has default value")
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rect = (1, 5, 10, 23)
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self.assertEqual(cv.utils.testOverloadResolution(rect),
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'overload (rect=(x={}, y={}, w={}, h={}))'.format(*rect),
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"Can't select second overload if all arguments are provided")
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def test_overload_resolution_fails(self):
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def test_overload_resolution(msg, *args, **kwargs):
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no_exception_msg = 'Overload resolution failed without any exception for: "{}"'.format(msg)
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wrong_exception_msg = 'Overload resolution failed with wrong exception type for: "{}"'.format(msg)
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with self.assertRaises((cv.error, Exception), msg=no_exception_msg) as cm:
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cv.utils.testOverloadResolution(*args, **kwargs)
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self.assertEqual(type(cm.exception), cv.error, wrong_exception_msg)
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test_overload_resolution('wrong second arg type (keyword arg)', 5, point=(1, 2, 3))
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test_overload_resolution('wrong second arg type', 5, 2)
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test_overload_resolution('wrong first arg', 3.4, (12, 21))
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test_overload_resolution('wrong first arg, no second arg', 4.5)
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test_overload_resolution('wrong args number for first overload', 3, (12, 21), 123)
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test_overload_resolution('wrong args number for second overload', (3, 12, 12, 1), (12, 21))
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# One of the common problems
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test_overload_resolution('rect with float coordinates', (4.5, 4, 2, 1))
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test_overload_resolution('rect with wrong number of coordinates', (4, 4, 1))
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class Arguments(NewOpenCVTests):
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def _try_to_convert(self, conversion, value):
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try:
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result = conversion(value).lower()
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except Exception as e:
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self.fail(
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'{} "{}" is risen for conversion {} of type {}'.format(
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type(e).__name__, e, value, type(value).__name__
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)
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)
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else:
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return result
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def test_InputArray(self):
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res1 = cv.utils.dumpInputArray(None)
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# self.assertEqual(res1, "InputArray: noArray()") # not supported
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self.assertEqual(res1, "InputArray: empty()=true kind=0x00010000 flags=0x01010000 total(-1)=0 dims(-1)=0 size(-1)=0x0 type(-1)=CV_8UC1")
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res2_1 = cv.utils.dumpInputArray((1, 2))
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self.assertEqual(res2_1, "InputArray: empty()=false kind=0x00010000 flags=0x01010000 total(-1)=2 dims(-1)=2 size(-1)=1x2 type(-1)=CV_64FC1")
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res2_2 = cv.utils.dumpInputArray(1.5) # Scalar(1.5, 1.5, 1.5, 1.5)
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self.assertEqual(res2_2, "InputArray: empty()=false kind=0x00010000 flags=0x01010000 total(-1)=4 dims(-1)=2 size(-1)=1x4 type(-1)=CV_64FC1")
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a = np.array([[1, 2], [3, 4], [5, 6]])
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res3 = cv.utils.dumpInputArray(a) # 32SC1
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self.assertEqual(res3, "InputArray: empty()=false kind=0x00010000 flags=0x01010000 total(-1)=6 dims(-1)=2 size(-1)=2x3 type(-1)=CV_32SC1")
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a = np.array([[[1, 2], [3, 4], [5, 6]]], dtype='f')
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res4 = cv.utils.dumpInputArray(a) # 32FC2
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self.assertEqual(res4, "InputArray: empty()=false kind=0x00010000 flags=0x01010000 total(-1)=3 dims(-1)=2 size(-1)=3x1 type(-1)=CV_32FC2")
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a = np.array([[[1, 2]], [[3, 4]], [[5, 6]]], dtype=float)
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res5 = cv.utils.dumpInputArray(a) # 64FC2
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self.assertEqual(res5, "InputArray: empty()=false kind=0x00010000 flags=0x01010000 total(-1)=3 dims(-1)=2 size(-1)=1x3 type(-1)=CV_64FC2")
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a = np.zeros((2,3,4), dtype='f')
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res6 = cv.utils.dumpInputArray(a)
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self.assertEqual(res6, "InputArray: empty()=false kind=0x00010000 flags=0x01010000 total(-1)=6 dims(-1)=2 size(-1)=3x2 type(-1)=CV_32FC4")
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a = np.zeros((2,3,4,5), dtype='f')
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res7 = cv.utils.dumpInputArray(a)
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self.assertEqual(res7, "InputArray: empty()=false kind=0x00010000 flags=0x01010000 total(-1)=120 dims(-1)=4 size(-1)=[2 3 4 5] type(-1)=CV_32FC1")
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def test_InputArrayOfArrays(self):
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res1 = cv.utils.dumpInputArrayOfArrays(None)
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# self.assertEqual(res1, "InputArray: noArray()") # not supported
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self.assertEqual(res1, "InputArrayOfArrays: empty()=true kind=0x00050000 flags=0x01050000 total(-1)=0 dims(-1)=1 size(-1)=0x0")
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res2_1 = cv.utils.dumpInputArrayOfArrays((1, 2)) # { Scalar:all(1), Scalar::all(2) }
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self.assertEqual(res2_1, "InputArrayOfArrays: empty()=false kind=0x00050000 flags=0x01050000 total(-1)=2 dims(-1)=1 size(-1)=2x1 type(0)=CV_64FC1 dims(0)=2 size(0)=1x4")
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res2_2 = cv.utils.dumpInputArrayOfArrays([1.5])
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self.assertEqual(res2_2, "InputArrayOfArrays: empty()=false kind=0x00050000 flags=0x01050000 total(-1)=1 dims(-1)=1 size(-1)=1x1 type(0)=CV_64FC1 dims(0)=2 size(0)=1x4")
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a = np.array([[1, 2], [3, 4], [5, 6]])
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b = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
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res3 = cv.utils.dumpInputArrayOfArrays([a, b])
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self.assertEqual(res3, "InputArrayOfArrays: empty()=false kind=0x00050000 flags=0x01050000 total(-1)=2 dims(-1)=1 size(-1)=2x1 type(0)=CV_32SC1 dims(0)=2 size(0)=2x3")
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c = np.array([[[1, 2], [3, 4], [5, 6]]], dtype='f')
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res4 = cv.utils.dumpInputArrayOfArrays([c, a, b])
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self.assertEqual(res4, "InputArrayOfArrays: empty()=false kind=0x00050000 flags=0x01050000 total(-1)=3 dims(-1)=1 size(-1)=3x1 type(0)=CV_32FC2 dims(0)=2 size(0)=3x1")
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a = np.zeros((2,3,4), dtype='f')
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res5 = cv.utils.dumpInputArrayOfArrays([a, b])
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self.assertEqual(res5, "InputArrayOfArrays: empty()=false kind=0x00050000 flags=0x01050000 total(-1)=2 dims(-1)=1 size(-1)=2x1 type(0)=CV_32FC4 dims(0)=2 size(0)=3x2")
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# TODO: fix conversion error
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#a = np.zeros((2,3,4,5), dtype='f')
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#res6 = cv.utils.dumpInputArray([a, b])
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#self.assertEqual(res6, "InputArrayOfArrays: empty()=false kind=0x00050000 flags=0x01050000 total(-1)=2 dims(-1)=1 size(-1)=2x1 type(0)=CV_32FC1 dims(0)=4 size(0)=[2 3 4 5]")
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def test_parse_to_bool_convertible(self):
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try_to_convert = partial(self._try_to_convert, cv.utils.dumpBool)
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for convertible_true in (True, 1, 64, np.bool(1), np.int8(123), np.int16(11), np.int32(2),
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np.int64(1), np.bool_(3), np.bool8(12)):
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actual = try_to_convert(convertible_true)
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self.assertEqual('bool: true', actual,
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msg=get_conversion_error_msg(convertible_true, 'bool: true', actual))
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for convertible_false in (False, 0, np.uint8(0), np.bool_(0), np.int_(0)):
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actual = try_to_convert(convertible_false)
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self.assertEqual('bool: false', actual,
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msg=get_conversion_error_msg(convertible_false, 'bool: false', actual))
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def test_parse_to_bool_not_convertible(self):
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for not_convertible in (1.2, np.float(2.3), 's', 'str', (1, 2), [1, 2], complex(1, 1),
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complex(imag=2), complex(1.1), np.array([1, 0], dtype=np.bool)):
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with self.assertRaises((TypeError, OverflowError),
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msg=get_no_exception_msg(not_convertible)):
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_ = cv.utils.dumpBool(not_convertible)
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def test_parse_to_bool_convertible_extra(self):
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try_to_convert = partial(self._try_to_convert, cv.utils.dumpBool)
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_, max_size_t = get_limits(ctypes.c_size_t)
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for convertible_true in (-1, max_size_t):
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actual = try_to_convert(convertible_true)
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self.assertEqual('bool: true', actual,
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msg=get_conversion_error_msg(convertible_true, 'bool: true', actual))
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def test_parse_to_bool_not_convertible_extra(self):
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for not_convertible in (np.array([False]), np.array([True], dtype=np.bool)):
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with self.assertRaises((TypeError, OverflowError),
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msg=get_no_exception_msg(not_convertible)):
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_ = cv.utils.dumpBool(not_convertible)
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def test_parse_to_int_convertible(self):
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try_to_convert = partial(self._try_to_convert, cv.utils.dumpInt)
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min_int, max_int = get_limits(ctypes.c_int)
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for convertible in (-10, -1, 2, int(43.2), np.uint8(15), np.int8(33), np.int16(-13),
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np.int32(4), np.int64(345), (23), min_int, max_int, np.int_(33)):
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expected = 'int: {0:d}'.format(convertible)
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actual = try_to_convert(convertible)
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self.assertEqual(expected, actual,
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msg=get_conversion_error_msg(convertible, expected, actual))
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def test_parse_to_int_not_convertible(self):
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min_int, max_int = get_limits(ctypes.c_int)
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for not_convertible in (1.2, np.float(4), float(3), np.double(45), 's', 'str',
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np.array([1, 2]), (1,), [1, 2], min_int - 1, max_int + 1,
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complex(1, 1), complex(imag=2), complex(1.1)):
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with self.assertRaises((TypeError, OverflowError, ValueError),
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msg=get_no_exception_msg(not_convertible)):
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_ = cv.utils.dumpInt(not_convertible)
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def test_parse_to_int_not_convertible_extra(self):
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for not_convertible in (np.bool_(True), True, False, np.float32(2.3),
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np.array([3, ], dtype=int), np.array([-2, ], dtype=np.int32),
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np.array([1, ], dtype=np.int), np.array([11, ], dtype=np.uint8)):
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with self.assertRaises((TypeError, OverflowError),
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msg=get_no_exception_msg(not_convertible)):
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_ = cv.utils.dumpInt(not_convertible)
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def test_parse_to_size_t_convertible(self):
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try_to_convert = partial(self._try_to_convert, cv.utils.dumpSizeT)
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_, max_uint = get_limits(ctypes.c_uint)
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for convertible in (2, max_uint, (12), np.uint8(34), np.int8(12), np.int16(23),
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np.int32(123), np.int64(344), np.uint64(3), np.uint16(2), np.uint32(5),
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np.uint(44)):
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expected = 'size_t: {0:d}'.format(convertible).lower()
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actual = try_to_convert(convertible)
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self.assertEqual(expected, actual,
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msg=get_conversion_error_msg(convertible, expected, actual))
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def test_parse_to_size_t_not_convertible(self):
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min_long, _ = get_limits(ctypes.c_long)
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for not_convertible in (1.2, True, False, np.bool_(True), np.float(4), float(3),
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np.double(45), 's', 'str', np.array([1, 2]), (1,), [1, 2],
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np.float64(6), complex(1, 1), complex(imag=2), complex(1.1),
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-1, min_long, np.int8(-35)):
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with self.assertRaises((TypeError, OverflowError),
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msg=get_no_exception_msg(not_convertible)):
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_ = cv.utils.dumpSizeT(not_convertible)
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def test_parse_to_size_t_convertible_extra(self):
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try_to_convert = partial(self._try_to_convert, cv.utils.dumpSizeT)
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_, max_size_t = get_limits(ctypes.c_size_t)
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for convertible in (max_size_t,):
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expected = 'size_t: {0:d}'.format(convertible).lower()
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actual = try_to_convert(convertible)
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self.assertEqual(expected, actual,
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msg=get_conversion_error_msg(convertible, expected, actual))
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def test_parse_to_size_t_not_convertible_extra(self):
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for not_convertible in (np.bool_(True), True, False, np.array([123, ], dtype=np.uint8),):
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with self.assertRaises((TypeError, OverflowError),
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msg=get_no_exception_msg(not_convertible)):
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_ = cv.utils.dumpSizeT(not_convertible)
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def test_parse_to_float_convertible(self):
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try_to_convert = partial(self._try_to_convert, cv.utils.dumpFloat)
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min_float, max_float = get_limits(ctypes.c_float)
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for convertible in (2, -13, 1.24, float(32), np.float(32.45), np.double(12.23),
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np.float32(-12.3), np.float64(3.22), np.float_(-1.5), min_float,
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max_float, np.inf, -np.inf, float('Inf'), -float('Inf'),
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np.double(np.inf), np.double(-np.inf), np.double(float('Inf')),
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np.double(-float('Inf'))):
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expected = 'Float: {0:.2f}'.format(convertible).lower()
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actual = try_to_convert(convertible)
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self.assertEqual(expected, actual,
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msg=get_conversion_error_msg(convertible, expected, actual))
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# Workaround for Windows NaN tests due to Visual C runtime
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# special floating point values (indefinite NaN)
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for nan in (float('NaN'), np.nan, np.float32(np.nan), np.double(np.nan),
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np.double(float('NaN'))):
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actual = try_to_convert(nan)
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self.assertIn('nan', actual, msg="Can't convert nan of type {} to float. "
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"Actual: {}".format(type(nan).__name__, actual))
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min_double, max_double = get_limits(ctypes.c_double)
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for inf in (min_float * 10, max_float * 10, min_double, max_double):
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expected = 'float: {}inf'.format('-' if inf < 0 else '')
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actual = try_to_convert(inf)
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self.assertEqual(expected, actual,
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msg=get_conversion_error_msg(inf, expected, actual))
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def test_parse_to_float_not_convertible(self):
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for not_convertible in ('s', 'str', (12,), [1, 2], np.array([1, 2], dtype=np.float),
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np.array([1, 2], dtype=np.double), complex(1, 1), complex(imag=2),
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complex(1.1)):
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with self.assertRaises((TypeError), msg=get_no_exception_msg(not_convertible)):
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_ = cv.utils.dumpFloat(not_convertible)
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def test_parse_to_float_not_convertible_extra(self):
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for not_convertible in (np.bool_(False), True, False, np.array([123, ], dtype=int),
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np.array([1., ]), np.array([False]),
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np.array([True], dtype=np.bool)):
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with self.assertRaises((TypeError, OverflowError),
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msg=get_no_exception_msg(not_convertible)):
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_ = cv.utils.dumpFloat(not_convertible)
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def test_parse_to_double_convertible(self):
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try_to_convert = partial(self._try_to_convert, cv.utils.dumpDouble)
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min_float, max_float = get_limits(ctypes.c_float)
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min_double, max_double = get_limits(ctypes.c_double)
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for convertible in (2, -13, 1.24, np.float(32.45), float(2), np.double(12.23),
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np.float32(-12.3), np.float64(3.22), np.float_(-1.5), min_float,
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max_float, min_double, max_double, np.inf, -np.inf, float('Inf'),
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-float('Inf'), np.double(np.inf), np.double(-np.inf),
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np.double(float('Inf')), np.double(-float('Inf'))):
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expected = 'Double: {0:.2f}'.format(convertible).lower()
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actual = try_to_convert(convertible)
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self.assertEqual(expected, actual,
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msg=get_conversion_error_msg(convertible, expected, actual))
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# Workaround for Windows NaN tests due to Visual C runtime
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# special floating point values (indefinite NaN)
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for nan in (float('NaN'), np.nan, np.double(np.nan),
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np.double(float('NaN'))):
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actual = try_to_convert(nan)
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self.assertIn('nan', actual, msg="Can't convert nan of type {} to double. "
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"Actual: {}".format(type(nan).__name__, actual))
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|
|
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def test_parse_to_double_not_convertible(self):
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for not_convertible in ('s', 'str', (12,), [1, 2], np.array([1, 2], dtype=np.float),
|
|
np.array([1, 2], dtype=np.double), complex(1, 1), complex(imag=2),
|
|
complex(1.1)):
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|
with self.assertRaises((TypeError), msg=get_no_exception_msg(not_convertible)):
|
|
_ = cv.utils.dumpDouble(not_convertible)
|
|
|
|
def test_parse_to_double_not_convertible_extra(self):
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for not_convertible in (np.bool_(False), True, False, np.array([123, ], dtype=int),
|
|
np.array([1., ]), np.array([False]),
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|
np.array([12.4], dtype=np.double), np.array([True], dtype=np.bool)):
|
|
with self.assertRaises((TypeError, OverflowError),
|
|
msg=get_no_exception_msg(not_convertible)):
|
|
_ = cv.utils.dumpDouble(not_convertible)
|
|
|
|
def test_parse_to_cstring_convertible(self):
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|
try_to_convert = partial(self._try_to_convert, cv.utils.dumpCString)
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|
for convertible in ('', 's', 'str', str(123), ('char'), np.str('test1'), np.str_('test2')):
|
|
expected = 'string: ' + convertible
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|
actual = try_to_convert(convertible)
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|
self.assertEqual(expected, actual,
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|
msg=get_conversion_error_msg(convertible, expected, actual))
|
|
|
|
def test_parse_to_cstring_not_convertible(self):
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|
for not_convertible in ((12,), ('t', 'e', 's', 't'), np.array(['123', ]),
|
|
np.array(['t', 'e', 's', 't']), 1, -1.4, True, False, None):
|
|
with self.assertRaises((TypeError), msg=get_no_exception_msg(not_convertible)):
|
|
_ = cv.utils.dumpCString(not_convertible)
|
|
|
|
def test_parse_to_string_convertible(self):
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|
try_to_convert = partial(self._try_to_convert, cv.utils.dumpString)
|
|
for convertible in (None, '', 's', 'str', str(123), np.str('test1'), np.str_('test2')):
|
|
expected = 'string: ' + (convertible if convertible else '')
|
|
actual = try_to_convert(convertible)
|
|
self.assertEqual(expected, actual,
|
|
msg=get_conversion_error_msg(convertible, expected, actual))
|
|
|
|
def test_parse_to_string_not_convertible(self):
|
|
for not_convertible in ((12,), ('t', 'e', 's', 't'), np.array(['123', ]),
|
|
np.array(['t', 'e', 's', 't']), 1, True, False):
|
|
with self.assertRaises((TypeError), msg=get_no_exception_msg(not_convertible)):
|
|
_ = cv.utils.dumpString(not_convertible)
|
|
|
|
def test_parse_to_rect_convertible(self):
|
|
Rect = namedtuple('Rect', ('x', 'y', 'w', 'h'))
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|
try_to_convert = partial(self._try_to_convert, cv.utils.dumpRect)
|
|
for convertible in ((1, 2, 4, 5), [5, 3, 10, 20], np.array([10, 20, 23, 10]),
|
|
Rect(10, 30, 40, 55), tuple(np.array([40, 20, 24, 20])),
|
|
list(np.array([20, 40, 30, 35]))):
|
|
expected = 'rect: (x={}, y={}, w={}, h={})'.format(*convertible)
|
|
actual = try_to_convert(convertible)
|
|
self.assertEqual(expected, actual,
|
|
msg=get_conversion_error_msg(convertible, expected, actual))
|
|
|
|
def test_parse_to_rect_not_convertible(self):
|
|
for not_convertible in (np.empty(shape=(4, 1)), (), [], np.array([]), (12, ),
|
|
[3, 4, 5, 10, 123], {1: 2, 3:4, 5:10, 6:30},
|
|
'1234', np.array([1, 2, 3, 4], dtype=np.float32),
|
|
np.array([[1, 2], [3, 4], [5, 6], [6, 8]]), (1, 2, 5, 1.5)):
|
|
with self.assertRaises((TypeError), msg=get_no_exception_msg(not_convertible)):
|
|
_ = cv.utils.dumpRect(not_convertible)
|
|
|
|
def test_parse_to_rotated_rect_convertible(self):
|
|
RotatedRect = namedtuple('RotatedRect', ('center', 'size', 'angle'))
|
|
try_to_convert = partial(self._try_to_convert, cv.utils.dumpRotatedRect)
|
|
for convertible in (((2.5, 2.5), (10., 20.), 12.5), [[1.5, 10.5], (12.5, 51.5), 10],
|
|
RotatedRect((10, 40), np.array([10.5, 20.5]), 5),
|
|
np.array([[10, 6], [50, 50], 5.5], dtype=object)):
|
|
center, size, angle = convertible
|
|
expected = 'rotated_rect: (c_x={:.6f}, c_y={:.6f}, w={:.6f},' \
|
|
' h={:.6f}, a={:.6f})'.format(center[0], center[1],
|
|
size[0], size[1], angle)
|
|
actual = try_to_convert(convertible)
|
|
self.assertEqual(expected, actual,
|
|
msg=get_conversion_error_msg(convertible, expected, actual))
|
|
|
|
def test_parse_to_rotated_rect_not_convertible(self):
|
|
for not_convertible in ([], (), np.array([]), (123, (45, 34), 1), {1: 2, 3: 4}, 123,
|
|
np.array([[123, 123, 14], [1, 3], 56], dtype=object), '123'):
|
|
with self.assertRaises((TypeError), msg=get_no_exception_msg(not_convertible)):
|
|
_ = cv.utils.dumpRotatedRect(not_convertible)
|
|
|
|
def test_parse_to_term_criteria_convertible(self):
|
|
TermCriteria = namedtuple('TermCriteria', ('type', 'max_count', 'epsilon'))
|
|
try_to_convert = partial(self._try_to_convert, cv.utils.dumpTermCriteria)
|
|
for convertible in ((1, 10, 1e-3), [2, 30, 1e-1], np.array([10, 20, 0.5], dtype=object),
|
|
TermCriteria(0, 5, 0.1)):
|
|
expected = 'term_criteria: (type={}, max_count={}, epsilon={:.6f}'.format(*convertible)
|
|
actual = try_to_convert(convertible)
|
|
self.assertEqual(expected, actual,
|
|
msg=get_conversion_error_msg(convertible, expected, actual))
|
|
|
|
def test_parse_to_term_criteria_not_convertible(self):
|
|
for not_convertible in ([], (), np.array([]), [1, 4], (10,), (1.5, 34, 0.1),
|
|
{1: 5, 3: 5, 10: 10}, '145'):
|
|
with self.assertRaises((TypeError), msg=get_no_exception_msg(not_convertible)):
|
|
_ = cv.utils.dumpTermCriteria(not_convertible)
|
|
|
|
def test_parse_to_range_convertible_to_all(self):
|
|
try_to_convert = partial(self._try_to_convert, cv.utils.dumpRange)
|
|
for convertible in ((), [], np.array([])):
|
|
expected = 'range: all'
|
|
actual = try_to_convert(convertible)
|
|
self.assertEqual(expected, actual,
|
|
msg=get_conversion_error_msg(convertible, expected, actual))
|
|
|
|
def test_parse_to_range_convertible(self):
|
|
Range = namedtuple('Range', ('start', 'end'))
|
|
try_to_convert = partial(self._try_to_convert, cv.utils.dumpRange)
|
|
for convertible in ((10, 20), [-1, 3], np.array([10, 24]), Range(-4, 6)):
|
|
expected = 'range: (s={}, e={})'.format(*convertible)
|
|
actual = try_to_convert(convertible)
|
|
self.assertEqual(expected, actual,
|
|
msg=get_conversion_error_msg(convertible, expected, actual))
|
|
|
|
def test_parse_to_range_not_convertible(self):
|
|
for not_convertible in ((1, ), [40, ], np.array([1, 4, 6]), {'a': 1, 'b': 40},
|
|
(1.5, 13.5), [3, 6.7], np.array([6.3, 2.1]), '14, 4'):
|
|
with self.assertRaises((TypeError), msg=get_no_exception_msg(not_convertible)):
|
|
_ = cv.utils.dumpRange(not_convertible)
|
|
|
|
|
|
class SamplesFindFile(NewOpenCVTests):
|
|
|
|
def test_ExistedFile(self):
|
|
res = cv.samples.findFile('lena.jpg', False)
|
|
self.assertNotEqual(res, '')
|
|
|
|
def test_MissingFile(self):
|
|
res = cv.samples.findFile('non_existed.file', False)
|
|
self.assertEqual(res, '')
|
|
|
|
def test_MissingFileException(self):
|
|
try:
|
|
_res = cv.samples.findFile('non_existed.file', True)
|
|
self.assertEqual("Dead code", 0)
|
|
except cv.error as _e:
|
|
pass
|
|
|
|
|
|
if __name__ == '__main__':
|
|
NewOpenCVTests.bootstrap()
|