import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Image
from datasets.packaged_modules.text.text import Text

from ..utils import require_pil






@pytest.fixture
def    UpperCAmelCase__(						lowerCamelCase_  ):



			"""simple docstring"""





			_snake_case              =      tmp_path / "text.txt"
			_snake_case              =      textwrap.dedent(
			    "\\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n\n        Second paragraph:\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n        "  )
			with open(lowerCamelCase_							,	"w"							,	encoding="utf-8"  ) as f:
						f.write(lowerCamelCase_  )
			return str(lowerCamelCase_  )






@pytest.fixture
def    UpperCAmelCase__(						lowerCamelCase_							,	lowerCamelCase_  ):



			"""simple docstring"""





			_snake_case              =      tmp_path / "text_with_image.txt"
			with open(lowerCamelCase_							,	"w"							,	encoding="utf-8"  ) as f:
						f.write(lowerCamelCase_  )
			return str(lowerCamelCase_  )






@pytest.mark.parametrize("keep_linebreaks"							,	[True, False]  )
def    UpperCAmelCase__(						lowerCamelCase_							,	lowerCamelCase_  ):



			"""simple docstring"""





			with open(lowerCamelCase_							,	encoding="utf-8"  ) as f:
						_snake_case              =      f.read().splitlines(keepends=lowerCamelCase_  )
			_snake_case              =      Text(keep_linebreaks=lowerCamelCase_							,	encoding="utf-8"  )
			_snake_case              =      text._generate_tables([[text_file]]  )
			_snake_case              =      pa.concat_tables([table for _, table in generator]  ).to_pydict()["text"]
			assert generated_content == expected_content






@require_pil
def    UpperCAmelCase__(						lowerCamelCase_  ):



			"""simple docstring"""





			with open(lowerCamelCase_							,	encoding="utf-8"  ) as f:
						_snake_case              =      f.read().splitlines()[0]
			_snake_case              =      Text(encoding="utf-8"							,	features=Features({"image": Image()}  )  )
			_snake_case              =      text._generate_tables([[text_file_with_image]]  )
			_snake_case              =      pa.concat_tables([table for _, table in generator]  )
			assert pa_table.schema.field("image"  ).type == Image()()
			_snake_case              =      pa_table.to_pydict()["image"]
			assert generated_content == [{"path": image_file, "bytes": None}]







@pytest.mark.parametrize("sample_by"							,	["line", "paragraph", "document"]  )
def    UpperCAmelCase__(						lowerCamelCase_							,	lowerCamelCase_  ):



			"""simple docstring"""





			with open(lowerCamelCase_							,	encoding="utf-8"  ) as f:
						_snake_case              =      f.read()
			if sample_by == "line":
						_snake_case              =      expected_content.splitlines()
			elif sample_by == "paragraph":
						_snake_case              =      expected_content.split("\n\n"  )
			elif sample_by == "document":
						_snake_case              =      [expected_content]
			_snake_case              =      Text(sample_by=lowerCamelCase_							,	encoding="utf-8"							,	chunksize=100  )
			_snake_case              =      text._generate_tables([[text_file]]  )
			_snake_case              =      pa.concat_tables([table for _, table in generator]  ).to_pydict()["text"]
			assert generated_content == expected_content


import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey

class 	_SCREAMING_SNAKE_CASE							:






		"""simple docstring"""







		def __init__(			self    :				int  ,					__SCREAMING_SNAKE_CASE    :				List[Any]  ,					__SCREAMING_SNAKE_CASE    :				int   ):






					"""simple docstring"""
					_snake_case              =      0
					# max greyscale value for #FFFFFF
					_snake_case              =      int(self.get_greyscale(255  ,					255  ,					255   )   )

					if not self.min_threshold < threshold < self.max_threshold:
								_snake_case              =      F'Factor value should be from 0 to {self.max_threshold}'
								raise ValueError(__SCREAMING_SNAKE_CASE   )

					_snake_case              =      input_img
					_snake_case              =      threshold
					_snake_case       , _snake_case              =      self.input_img.shape[1], self.input_img.shape[0]

					# error table size (+4 columns and +1 row) greater than input image because of
					# lack of if statements
					_snake_case              =      [
					    [0 for _ in range(self.height + 4   )] for __ in range(self.width + 1   )
					]
					_snake_case              =      np.ones((self.width, self.height, 3)  ,					np.uinta   ) * 255



		@classmethod
		def 				_a				(			cls    :				Optional[int]  ,					__SCREAMING_SNAKE_CASE    :				int  ,					__SCREAMING_SNAKE_CASE    :				int  ,					__SCREAMING_SNAKE_CASE    :				int   ):






					"""simple docstring"""
					return 0.1_1_4 * blue + 0.5_8_7 * green + 0.2_1_2_6 * red







		def 				_a				(			self    :				Union[str, Any]   ):






					"""simple docstring"""
					for y in range(self.height   ):
								for x in range(self.width   ):
											_snake_case              =      int(self.get_greyscale(*self.input_img[y][x]   )   )
											if self.threshold > greyscale + self.error_table[y][x]:
														_snake_case              =      (0, 0, 0)
														_snake_case              =      greyscale + self.error_table[x][y]
											else:
														_snake_case              =      (255, 255, 255)
														_snake_case              =      greyscale + self.error_table[x][y] - 255
											self.error_table[y][x + 1] += int(8 / 32 * current_error   )
											self.error_table[y][x + 2] += int(4 / 32 * current_error   )
											self.error_table[y + 1][x] += int(8 / 32 * current_error   )
											self.error_table[y + 1][x + 1] += int(4 / 32 * current_error   )
											self.error_table[y + 1][x + 2] += int(2 / 32 * current_error   )
											self.error_table[y + 1][x - 1] += int(4 / 32 * current_error   )
											self.error_table[y + 1][x - 2] += int(2 / 32 * current_error   )


if __name__ == "__main__":
			# create Burke's instances with original images in greyscale
			_SCREAMING_SNAKE_CASE:						Tuple    	=       [
			    Burkes(imread('''image_data/lena.jpg''', 1), threshold)
			    for threshold in (1, 126, 130, 140)
			]

			for burkes in burkes_instances:
						burkes.process()

			for burkes in burkes_instances:
						imshow(
						    F"Original image with dithering threshold: {burkes.threshold}",
						    burkes.output_img,
						)

			waitKey(0)
			destroyAllWindows()

