
"""simple docstring"""




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

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

def        _lowerCamelCase ( ):
		SCREAMING_SNAKE_CASE_						 = cn.convert_to_negative(a_    )
		# assert negative_img array for at least one True
		assert negative_img.any()

def        _lowerCamelCase ( ):






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

def        _lowerCamelCase ( ):
		SCREAMING_SNAKE_CASE_						 = canny.gen_gaussian_kernel(9,							sigma=1.4    )
		# Assert ambiguous array
		assert resp.all()

def        _lowerCamelCase ( ):
		SCREAMING_SNAKE_CASE_						 = imread('''digital_image_processing/image_data/lena_small.jpg''',							0    )
		# assert ambiguous array for all == True
		assert canny_img.all()
		SCREAMING_SNAKE_CASE_						 = canny.canny(a_    )
		# assert canny array for at least one True
		assert canny_array.any()

def        _lowerCamelCase ( ):
		assert gg.gaussian_filter(a_,							5,							sigma=0.9    ).all()

def        _lowerCamelCase ( ):
		SCREAMING_SNAKE_CASE_						 = array([[0.2_5, 0.5, 0.2_5], [0.5, -3, 0.5], [0.2_5, 0.5, 0.2_5]]    )
		SCREAMING_SNAKE_CASE_						 = conv.img_convolve(a_,							a_    ).astype(a_    )
		assert res.any()

def        _lowerCamelCase ( ):
		assert med.median_filter(a_,							3    ).any()

def        _lowerCamelCase ( ):
		SCREAMING_SNAKE_CASE_						 = sob.sobel_filter(a_    )
		assert grad.any() and theta.any()

def        _lowerCamelCase ( ):
		SCREAMING_SNAKE_CASE_						 = sp.make_sepia(a_,							20    )
		assert sepia.all()

def        _lowerCamelCase ( __a = "digital_image_processing/image_data/lena_small.jpg"    ):
		SCREAMING_SNAKE_CASE_						 = bs.Burkes(imread(a_,							1    ),							120    )
		burkes.process()
		assert burkes.output_img.any()

def        _lowerCamelCase ( __a = "digital_image_processing/image_data/lena_small.jpg",							):
		SCREAMING_SNAKE_CASE_						 = rs.NearestNeighbour(imread(a_,							1    ),							400,							200    )
		nn.process()
		assert nn.output.any()


def        _lowerCamelCase ( ):
		SCREAMING_SNAKE_CASE_						 = '''digital_image_processing/image_data/lena.jpg'''

		# Reading the image and converting it to grayscale.
		SCREAMING_SNAKE_CASE_						 = imread(a_,							0    )

		# Test for get_neighbors_pixel function() return not None
		SCREAMING_SNAKE_CASE_						 = 0
		SCREAMING_SNAKE_CASE_						 = 0
		SCREAMING_SNAKE_CASE_						 = image[x_coordinate][y_coordinate]

		SCREAMING_SNAKE_CASE_						 = lbp.get_neighbors_pixel(
		    a_,							a_,							a_,							a_    )

		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
		SCREAMING_SNAKE_CASE_						 = 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]    ):
						SCREAMING_SNAKE_CASE_						 = lbp.local_binary_value(a_,							a_,							a_    )

		assert lbp_image.any()

"""simple docstring"""




import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin





class  snake_case     (							__lowercase       ,			unittest.TestCase   ):
							UpperCAmelCase__						     =      CTRLTokenizer
							UpperCAmelCase__						     =      False
							UpperCAmelCase__						     =      False

							def _lowercase					(self    ):

									"""simple docstring"""







									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									SCREAMING_SNAKE_CASE_						 = ['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
									SCREAMING_SNAKE_CASE_						 = dict(zip(SCREAMING_SNAKE_CASE_       ,       range(len(SCREAMING_SNAKE_CASE_    )    )    )    )
									SCREAMING_SNAKE_CASE_						 = ['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
									SCREAMING_SNAKE_CASE_						 = {'''unk_token''': '''<unk>'''}

									SCREAMING_SNAKE_CASE_						 = os.path.join(self.tmpdirname       ,       VOCAB_FILES_NAMES['''vocab_file''']    )
									SCREAMING_SNAKE_CASE_						 = os.path.join(self.tmpdirname       ,       VOCAB_FILES_NAMES['''merges_file''']    )
									with open(self.vocab_file       ,       '''w'''       ,       encoding='''utf-8'''    ) as fp:
											fp.write(json.dumps(SCREAMING_SNAKE_CASE_    ) + '''\n'''    )
									with open(self.merges_file       ,       '''w'''       ,       encoding='''utf-8'''    ) as fp:
											fp.write('''\n'''.join(SCREAMING_SNAKE_CASE_    )    )

							def _lowercase					(self       ,       **SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									kwargs.update(self.special_tokens_map    )
									return CTRLTokenizer.from_pretrained(self.tmpdirname       ,       **SCREAMING_SNAKE_CASE_    )

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = '''adapt react readapt apt'''
									SCREAMING_SNAKE_CASE_						 = '''adapt react readapt apt'''
									return input_text, output_text







							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = CTRLTokenizer(self.vocab_file       ,       self.merges_file       ,       **self.special_tokens_map    )
									SCREAMING_SNAKE_CASE_						 = '''adapt react readapt apt'''
									SCREAMING_SNAKE_CASE_						 = '''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
									SCREAMING_SNAKE_CASE_						 = tokenizer.tokenize(SCREAMING_SNAKE_CASE_    )
									self.assertListEqual(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )

									SCREAMING_SNAKE_CASE_						 = tokens + [tokenizer.unk_token]

									SCREAMING_SNAKE_CASE_						 = [0, 1, 2, 4, 5, 1, 0, 3, 6]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_    )       ,       SCREAMING_SNAKE_CASE_    )