



import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Value
from datasets.packaged_modules.json.json import Json


@pytest.fixture
def 	_UpperCAmelCase       (   snake_case    ):





					"""simple docstring"""

					_lowerCAmelCase      			=					tmp_path / """file.jsonl"""
					_lowerCAmelCase      			=					textwrap.dedent(
					    """\
        {\"col_1\": -1}
        {\"col_1\": 1, \"col_2\": 2}
        {\"col_1\": 10, \"col_2\": 20}
        """    )
					with open(__snake_case			,		"""w"""    ) as f:
										f.write(__snake_case    )
					return str(__snake_case    )


@pytest.fixture
def 	_UpperCAmelCase       (   snake_case    ):





					"""simple docstring"""

					_lowerCAmelCase      			=					tmp_path / """file_utf16_encoded.jsonl"""
					_lowerCAmelCase      			=					textwrap.dedent(
					    """\
        {\"col_1\": -1}
        {\"col_1\": 1, \"col_2\": 2}
        {\"col_1\": 10, \"col_2\": 20}
        """    )
					with open(__snake_case			,		"""w"""			,		encoding="""utf-16"""    ) as f:
										f.write(__snake_case    )
					return str(__snake_case    )


@pytest.fixture
def 	_UpperCAmelCase       (   snake_case    ):





					"""simple docstring"""

					_lowerCAmelCase      			=					tmp_path / """file_with_list_of_dicts.json"""
					_lowerCAmelCase      			=					textwrap.dedent(
					    """\
        [
            {\"col_1\": -1},
            {\"col_1\": 1, \"col_2\": 2},
            {\"col_1\": 10, \"col_2\": 20}
        ]
        """    )
					with open(__snake_case			,		"""w"""    ) as f:
										f.write(__snake_case    )
					return str(__snake_case    )


@pytest.fixture
def 	_UpperCAmelCase       (   snake_case    ):





					"""simple docstring"""

					_lowerCAmelCase      			=					tmp_path / """file_with_list_of_dicts_field.json"""
					_lowerCAmelCase      			=					textwrap.dedent(
					    """\
        {
            \"field1\": 1,
            \"field2\": \"aabb\",
            \"field3\": [
                {\"col_1\": -1},
                {\"col_1\": 1, \"col_2\": 2},
                {\"col_1\": 10, \"col_2\": 20}
            ]
        }
        """    )
					with open(__snake_case			,		"""w"""    ) as f:
										f.write(__snake_case    )
					return str(__snake_case    )


@pytest.mark.parametrize(
    """file_fixture, config_kwargs"""			,		[
        ("""jsonl_file""", {}),
        ("""jsonl_file_utf16_encoded""", {"""encoding""": """utf-16"""}),
        ("""json_file_with_list_of_dicts""", {}),
        ("""json_file_with_list_of_dicts_field""", {"""field""": """field3"""}),
    ]			,		)
def 	_UpperCAmelCase       (   snake_case			,		snake_case			,		snake_case    ):





					"""simple docstring"""

					_lowerCAmelCase      			=					Json(**__snake_case    )
					_lowerCAmelCase      			=					json._generate_tables([[request.getfixturevalue(__snake_case    )]]    )
					_lowerCAmelCase      			=					pa.concat_tables([table for _, table in generator]    )
					assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20]}


@pytest.mark.parametrize(
    """file_fixture, config_kwargs"""			,		[
        (
            """jsonl_file""",
            {"""features""": Features({"""col_1""": Value("""int64"""    ), """col_2""": Value("""int64"""    ), """missing_col""": Value("""string"""    )}    )},
        ),
        (
            """json_file_with_list_of_dicts""",
            {"""features""": Features({"""col_1""": Value("""int64"""    ), """col_2""": Value("""int64"""    ), """missing_col""": Value("""string"""    )}    )},
        ),
        (
            """json_file_with_list_of_dicts_field""",
            {
                """field""": """field3""",
                """features""": Features(
                    {"""col_1""": Value("""int64"""    ), """col_2""": Value("""int64"""    ), """missing_col""": Value("""string"""    )}    ),
            },
        ),
    ]			,		)
def 	_UpperCAmelCase       (   snake_case			,		snake_case			,		snake_case    ):





					"""simple docstring"""

					_lowerCAmelCase      			=					Json(**__snake_case    )
					_lowerCAmelCase      			=					json._generate_tables([[request.getfixturevalue(__snake_case    )]]    )
					_lowerCAmelCase      			=					pa.concat_tables([table for _, table in generator]    )
					assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20], "missing_col": [None, None, None]}








import cva
import numpy as np

from digital_image_processing.filters.convolve import img_convolve
from digital_image_processing.filters.sobel_filter import sobel_filter

A__			   = 1_80


def 	_UpperCAmelCase       (   snake_case			,		snake_case    ):





					"""simple docstring"""

					_lowerCAmelCase      			=					k_size // 2
					_lowerCAmelCase			,			_lowerCAmelCase      			=					np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
					_lowerCAmelCase      			=					(
					    1
					    / (2 * np.pi * sigma)
					    * np.exp(-(np.square(snake_case    ) + np.square(snake_case    )) / (2 * np.square(snake_case    ))    )
					)
					return g


def 	_UpperCAmelCase       (   snake_case			,		snake_case			,		snake_case    ):





					"""simple docstring"""

					_lowerCAmelCase      			=					np.zeros(snake_case    )

					for row in range(1			,		image_shape[0] - 1    ):
										for col in range(1			,		image_shape[1] - 1    ):
															_lowerCAmelCase      			=					gradient_direction[row, col]

															if (
															    0 <= direction < PI / 8
															    or 15 * PI / 8 <= direction <= 2 * PI
															    or 7 * PI / 8 <= direction <= 9 * PI / 8
															):
																				_lowerCAmelCase      			=					sobel_grad[row, col - 1]
																				_lowerCAmelCase      			=					sobel_grad[row, col + 1]
																				if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
																									_lowerCAmelCase      			=					sobel_grad[row, col]

															elif (
															    PI / 8 <= direction < 3 * PI / 8
															    or 9 * PI / 8 <= direction < 11 * PI / 8
															):
																				_lowerCAmelCase      			=					sobel_grad[row + 1, col - 1]
																				_lowerCAmelCase      			=					sobel_grad[row - 1, col + 1]
																				if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
																									_lowerCAmelCase      			=					sobel_grad[row, col]

															elif (
															    3 * PI / 8 <= direction < 5 * PI / 8
															    or 11 * PI / 8 <= direction < 13 * PI / 8
															):
																				_lowerCAmelCase      			=					sobel_grad[row - 1, col]
																				_lowerCAmelCase      			=					sobel_grad[row + 1, col]
																				if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
																									_lowerCAmelCase      			=					sobel_grad[row, col]

															elif (
															    5 * PI / 8 <= direction < 7 * PI / 8
															    or 13 * PI / 8 <= direction < 15 * PI / 8
															):
																				_lowerCAmelCase      			=					sobel_grad[row - 1, col - 1]
																				_lowerCAmelCase      			=					sobel_grad[row + 1, col + 1]
																				if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
																									_lowerCAmelCase      			=					sobel_grad[row, col]

					return destination


def 	_UpperCAmelCase       (   snake_case			,		snake_case			,		snake_case			,		snake_case			,		snake_case			,		snake_case    ):





					"""simple docstring"""

					for row in range(1			,		image_shape[0] - 1    ):
										for col in range(1			,		image_shape[1] - 1    ):
															if destination[row, col] >= threshold_high:
																				_lowerCAmelCase      			=					strong
															elif destination[row, col] <= threshold_low:
																				_lowerCAmelCase      			=					0
															else:
																				_lowerCAmelCase      			=					weak


def 	_UpperCAmelCase       (   snake_case			,		snake_case			,		snake_case			,		snake_case    ):





					"""simple docstring"""

					for row in range(1			,		image_shape[0]    ):
										for col in range(1			,		image_shape[1]    ):
															if destination[row, col] == weak:
																				if 2_55 in (
																				    destination[row, col + 1],
																				    destination[row, col - 1],
																				    destination[row - 1, col],
																				    destination[row + 1, col],
																				    destination[row - 1, col - 1],
																				    destination[row + 1, col - 1],
																				    destination[row - 1, col + 1],
																				    destination[row + 1, col + 1],
																				):
																									_lowerCAmelCase      			=					strong
																				else:
																									_lowerCAmelCase      			=					0


def 	_UpperCAmelCase       (   snake_case			,		snake_case=15			,		snake_case=30			,		snake_case=1_28			,		snake_case=2_55    ):





					"""simple docstring"""

					_lowerCAmelCase      			=					img_convolve(snake_case			,		gen_gaussian_kernel(9			,		sigma=1.4    )    )
					# get the gradient and degree by sobel_filter
					_lowerCAmelCase			,			_lowerCAmelCase      			=					sobel_filter(snake_case    )
					_lowerCAmelCase      			=					PI + np.radadeg(snake_case    )

					_lowerCAmelCase      			=					suppress_non_maximum(image.shape			,		snake_case			,		snake_case    )

					detect_high_low_threshold(
					    image.shape			,		snake_case			,		snake_case			,		snake_case			,		snake_case			,		snake_case    )

					track_edge(image.shape			,		snake_case			,		snake_case			,		snake_case    )

					return destination


if __name__ == "__main__":
	# read original image in gray mode
	A__			   = cva.imread(R"""../image_data/lena.jpg""", 0)
	# canny edge detection
	A__			   = canny(lena)
	cva.imshow("""canny""", canny_destination)
	cva.waitKey(0)



