



import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread
from numpy import array, uinta
from PIL import Image

from digital_image_processing import change_contrast as cc
from digital_image_processing import convert_to_negative as cn
from digital_image_processing import sepia as sp
from digital_image_processing.dithering import burkes as bs
from digital_image_processing.edge_detection import canny
from digital_image_processing.filters import convolve as conv
from digital_image_processing.filters import gaussian_filter as gg
from digital_image_processing.filters import local_binary_pattern as lbp
from digital_image_processing.filters import median_filter as med
from digital_image_processing.filters import sobel_filter as sob
from digital_image_processing.resize import resize as rs

A__								=						imread(r'''digital_image_processing/image_data/lena_small.jpg''')
A__								=						cvtColor(img, COLOR_BGR2GRAY)



def 			_lowerCAmelCase       (					)   ->					int:


				"""simple docstring"""

				snake_case__	:      List[Any]     		=	cn.convert_to_negative(__lowerCAmelCase      )
				# assert negative_img array for at least one True
				assert negative_img.any()



def 			_lowerCAmelCase       (					)   ->					Union[str, Any]:


				"""simple docstring"""

				with Image.open('''digital_image_processing/image_data/lena_small.jpg'''      ) as img:
								# Work around assertion for response
								assert str(cc.change_contrast(__lowerCAmelCase  ,  110      )      ).startswith(
								    '''<PIL.Image.Image image mode=RGB size=100x100 at'''      )



def 			_lowerCAmelCase       (					)   ->					List[str]:


				"""simple docstring"""

				snake_case__	:      Union[str, Any]     		=	canny.gen_gaussian_kernel(9  ,  sigma=1.4      )
				# Assert ambiguous array
				assert resp.all()



def 			_lowerCAmelCase       (					)   ->					Dict:


				"""simple docstring"""

				snake_case__	:      Optional[Any]     		=	imread('''digital_image_processing/image_data/lena_small.jpg'''  ,  0      )
				# assert ambiguous array for all == True
				assert canny_img.all()
				snake_case__	:      List[Any]     		=	canny.canny(__lowerCAmelCase      )
				# assert canny array for at least one True
				assert canny_array.any()



def 			_lowerCAmelCase       (					)   ->					Union[str, Any]:


				"""simple docstring"""

				assert gg.gaussian_filter(__lowerCAmelCase  ,  5  ,  sigma=0.9      ).all()



def 			_lowerCAmelCase       (					)   ->					Tuple:


				"""simple docstring"""

				snake_case__	:      List[str]     		=	array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]]      )
				snake_case__	:      List[Any]     		=	conv.img_convolve(__lowerCAmelCase  ,  __lowerCAmelCase      ).astype(__lowerCAmelCase      )
				assert res.any()



def 			_lowerCAmelCase       (					)   ->					Optional[Any]:


				"""simple docstring"""

				assert med.median_filter(__lowerCAmelCase  ,  3      ).any()



def 			_lowerCAmelCase       (					)   ->					int:


				"""simple docstring"""

				snake_case__		, snake_case__	:      List[Any]     		=	sob.sobel_filter(__lowerCAmelCase      )
				assert grad.any() and theta.any()



def 			_lowerCAmelCase       (					)   ->					List[str]:


				"""simple docstring"""

				snake_case__	:      Dict     		=	sp.make_sepia(__lowerCAmelCase  ,  20      )
				assert sepia.all()



def 			_lowerCAmelCase       (					__lowerCAmelCase = "digital_image_processing/image_data/lena_small.jpg"      )   ->					int:


				"""simple docstring"""

				snake_case__	:      int     		=	bs.Burkes(imread(__lowerCAmelCase  ,  1      )  ,  120      )
				burkes.process()
				assert burkes.output_img.any()



def 			_lowerCAmelCase       (					__lowerCAmelCase = "digital_image_processing/image_data/lena_small.jpg"  ,  )   ->					int:


				"""simple docstring"""

				snake_case__	:      Union[str, Any]     		=	rs.NearestNeighbour(imread(__lowerCAmelCase  ,  1      )  ,  400  ,  200      )
				nn.process()
				assert nn.output.any()





def 			_lowerCAmelCase       (					)   ->					Union[str, Any]:


				"""simple docstring"""

				snake_case__	:      List[str]     		=	'''digital_image_processing/image_data/lena.jpg'''

				# Reading the image and converting it to grayscale.
				snake_case__	:      Optional[int]     		=	imread(__lowerCAmelCase  ,  0      )

				# Test for get_neighbors_pixel function() return not None
				snake_case__	:      List[Any]     		=	0
				snake_case__	:      Union[str, Any]     		=	0
				snake_case__	:      Dict     		=	image[x_coordinate][y_coordinate]

				snake_case__	:      Dict     		=	lbp.get_neighbors_pixel(
				    __lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase      )

				assert neighbors_pixels is not None

				# Test for local_binary_pattern function()
				# Create a numpy array as the same height and width of read image
				snake_case__	:      str     		=	np.zeros((image.shape[0], image.shape[1])      )

				# Iterating through the image and calculating the local binary pattern value
				# for each pixel.
				for i in range(0  ,  image.shape[0]      ):
								for j in range(0  ,  image.shape[1]      ):
												snake_case__	:      List[str]     		=	lbp.local_binary_value(__lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase      )

				assert lbp_image.any()






import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


A__								=						'''http://www.mocksite.com/file1.txt'''
A__								=						'''"text": ["foo", "foo"]'''
A__								=						'''6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'''


class       a							:
		__lowerCAmelCase	:    Optional[int]											=					2_00
		__lowerCAmelCase	:    List[str]											=					{"""Content-Length""": """100"""}
		__lowerCAmelCase	:    Dict											=					{}



		def 	__lowerCamelCase			(     self     :Dict   ,**__lowercase     :List[Any]  ):
						return [bytes(__lowercase   ,'''utf-8'''  )]



def 			_lowerCAmelCase       (					*__lowerCAmelCase  ,  **__lowerCAmelCase      )   ->					Optional[Any]:


				"""simple docstring"""

				return MockResponse()



@pytest.mark.parametrize('''urls_type'''  ,  [str, list, dict]      )
def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase      )   ->					List[str]:


				"""simple docstring"""

				import requests

				monkeypatch.setattr(__lowerCAmelCase  ,  '''request'''  ,  __lowerCAmelCase      )

				snake_case__	:      Union[str, Any]     		=	URL
				if issubclass(__lowerCAmelCase  ,  __lowerCAmelCase      ):
								snake_case__	:      Optional[Any]     		=	url
				elif issubclass(__lowerCAmelCase  ,  __lowerCAmelCase      ):
								snake_case__	:      int     		=	[url]
				elif issubclass(__lowerCAmelCase  ,  __lowerCAmelCase      ):
								snake_case__	:      int     		=	{'''train''': url}
				snake_case__	:      Dict     		=	'''dummy'''
				snake_case__	:      Any     		=	'''downloads'''
				snake_case__	:      int     		=	tmp_path
				snake_case__	:      Any     		=	DownloadConfig(
				    cache_dir=os.path.join(__lowerCAmelCase  ,  __lowerCAmelCase      )  ,  use_etag=__lowerCAmelCase  ,  )
				snake_case__	:      Tuple     		=	DownloadManager(dataset_name=__lowerCAmelCase  ,  download_config=__lowerCAmelCase      )
				snake_case__	:      List[Any]     		=	dl_manager.download(__lowerCAmelCase      )
				snake_case__	:      Union[str, Any]     		=	urls
				for downloaded_paths in [downloaded_paths]:
								if isinstance(__lowerCAmelCase  ,  __lowerCAmelCase      ):
												snake_case__	:      Optional[int]     		=	[downloaded_paths]
												snake_case__	:      Dict     		=	[urls]
								elif isinstance(__lowerCAmelCase  ,  __lowerCAmelCase      ):
												assert "train" in downloaded_paths.keys()
												snake_case__	:      str     		=	downloaded_paths.values()
												snake_case__	:      List[str]     		=	urls.values()
								assert downloaded_paths
								for downloaded_path, input_url in zip(__lowerCAmelCase  ,  __lowerCAmelCase      ):
												assert downloaded_path == dl_manager.downloaded_paths[input_url]
												snake_case__	:      List[Any]     		=	Path(__lowerCAmelCase      )
												snake_case__	:      Any     		=	downloaded_path.parts
												assert parts[-1] == HASH
												assert parts[-2] == cache_subdir
												assert downloaded_path.exists()
												snake_case__	:      List[str]     		=	downloaded_path.read_text()
												assert content == CONTENT
												snake_case__	:      List[str]     		=	downloaded_path.with_suffix('''.json'''      )
												assert metadata_downloaded_path.exists()
												snake_case__	:      str     		=	json.loads(metadata_downloaded_path.read_text()      )
												assert metadata_content == {"url": URL, "etag": None}



@pytest.mark.parametrize('''paths_type'''  ,  [str, list, dict]      )
def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase      )   ->					Any:


				"""simple docstring"""

				snake_case__	:      Any     		=	str(__lowerCAmelCase      )
				if issubclass(__lowerCAmelCase  ,  __lowerCAmelCase      ):
								snake_case__	:      Tuple     		=	filename
				elif issubclass(__lowerCAmelCase  ,  __lowerCAmelCase      ):
								snake_case__	:      Dict     		=	[filename]
				elif issubclass(__lowerCAmelCase  ,  __lowerCAmelCase      ):
								snake_case__	:      Dict     		=	{'''train''': filename}
				snake_case__	:      Any     		=	'''dummy'''
				snake_case__	:      Any     		=	xz_file.parent
				snake_case__	:      List[str]     		=	'''extracted'''
				snake_case__	:      Dict     		=	DownloadConfig(
				    cache_dir=__lowerCAmelCase  ,  use_etag=__lowerCAmelCase  ,  )
				snake_case__	:      Dict     		=	DownloadManager(dataset_name=__lowerCAmelCase  ,  download_config=__lowerCAmelCase      )
				snake_case__	:      str     		=	dl_manager.extract(__lowerCAmelCase      )
				snake_case__	:      int     		=	paths
				for extracted_paths in [extracted_paths]:
								if isinstance(__lowerCAmelCase  ,  __lowerCAmelCase      ):
												snake_case__	:      Dict     		=	[extracted_paths]
												snake_case__	:      Optional[Any]     		=	[paths]
								elif isinstance(__lowerCAmelCase  ,  __lowerCAmelCase      ):
												assert "train" in extracted_paths.keys()
												snake_case__	:      int     		=	extracted_paths.values()
												snake_case__	:      int     		=	paths.values()
								assert extracted_paths
								for extracted_path, input_path in zip(__lowerCAmelCase  ,  __lowerCAmelCase      ):
												assert extracted_path == dl_manager.extracted_paths[input_path]
												snake_case__	:      Optional[int]     		=	Path(__lowerCAmelCase      )
												snake_case__	:      int     		=	extracted_path.parts
												assert parts[-1] == hash_url_to_filename(__lowerCAmelCase  ,  etag=__lowerCAmelCase      )
												assert parts[-2] == extracted_subdir
												assert extracted_path.exists()
												snake_case__	:      List[Any]     		=	extracted_path.read_text()
												snake_case__	:      List[str]     		=	text_file.read_text()
												assert extracted_file_content == expected_file_content



def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase      )   ->					List[Any]:


				"""simple docstring"""

				assert path.endswith('''.jsonl'''      )
				for num_items, line in enumerate(__lowerCAmelCase  ,  start=1      ):
								snake_case__	:      Any     		=	json.loads(line.decode('''utf-8'''      )      )
								assert item.keys() == {"col_1", "col_2", "col_3"}
				assert num_items == 4



@pytest.mark.parametrize('''archive_jsonl'''  ,  ['''tar_jsonl_path''', '''zip_jsonl_path''']      )
def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase      )   ->					Union[str, Any]:


				"""simple docstring"""

				snake_case__	:      Any     		=	request.getfixturevalue(__lowerCAmelCase      )
				snake_case__	:      Union[str, Any]     		=	DownloadManager()
				for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(__lowerCAmelCase      )  ,  start=1      ):
								_test_jsonl(__lowerCAmelCase  ,  __lowerCAmelCase      )
				assert num_jsonl == 2



@pytest.mark.parametrize('''archive_nested_jsonl'''  ,  ['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']      )
def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase      )   ->					List[str]:


				"""simple docstring"""

				snake_case__	:      Union[str, Any]     		=	request.getfixturevalue(__lowerCAmelCase      )
				snake_case__	:      Optional[int]     		=	DownloadManager()
				for num_tar, (path, file) in enumerate(dl_manager.iter_archive(__lowerCAmelCase      )  ,  start=1      ):
								for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(__lowerCAmelCase      )  ,  start=1      ):
												_test_jsonl(__lowerCAmelCase  ,  __lowerCAmelCase      )
				assert num_tar == 1
				assert num_jsonl == 2





def 			_lowerCAmelCase       (					__lowerCAmelCase      )   ->					str:


				"""simple docstring"""

				snake_case__	:      Any     		=	DownloadManager()
				for num_file, file in enumerate(dl_manager.iter_files(__lowerCAmelCase      )  ,  start=1      ):
								assert os.path.basename(__lowerCAmelCase      ) == ("test.txt" if num_file == 1 else "train.txt")
				assert num_file == 2

