import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__lowercase											=      get_tests_dir('''fixtures/test_sentencepiece.model''')


@require_sentencepiece
@require_tokenizers
class 			lowerCamelCase_  (     UpperCAmelCase_		,			unittest.TestCase				):






    '''simple docstring'''






    a__			:		List[str]      			=   XGLMTokenizer
    a__			:		int      			=   XGLMTokenizerFast
    a__			:		Tuple      			=   True
    a__			:		List[Any]      			=   True







    def     UpperCamelCase__     (			self) ->			List[Any]:
        super().setUp()

        # We have a SentencePiece fixture for testing
        __UpperCamelCase  :int    						=	XGLMTokenizer(__lowercase				,				keep_accents=__lowercase)
        tokenizer.save_pretrained(self.tmpdirname)







    def     UpperCamelCase__     (			self) ->			List[Any]:
        __UpperCamelCase  :str    						=	'''<pad>'''
        __UpperCamelCase  :Union[str, Any]    						=	1

        self.assertEqual(self.get_tokenizer()._convert_token_to_id(__lowercase)				,				__lowercase)
        self.assertEqual(self.get_tokenizer()._convert_id_to_token(__lowercase)				,				__lowercase)







    def     UpperCamelCase__     (			self) ->			int:
        __UpperCamelCase  :str    						=	list(self.get_tokenizer().get_vocab().keys())

        self.assertEqual(vocab_keys[0]				,				'''<s>''')
        self.assertEqual(vocab_keys[1]				,				'''<pad>''')
        self.assertEqual(len(__lowercase)				,				1_008)







    def     UpperCamelCase__     (			self) ->			Optional[int]:
        self.assertEqual(self.get_tokenizer().vocab_size				,				1_008)







    def     UpperCamelCase__     (			self) ->			Dict:
        __UpperCamelCase  :Optional[Any]    						=	XGLMTokenizer(__lowercase				,				keep_accents=__lowercase)

        __UpperCamelCase  :Optional[int]    						=	tokenizer.tokenize('''This is a test''')
        self.assertListEqual(__lowercase				,				['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est'''])

        self.assertListEqual(
            tokenizer.convert_tokens_to_ids(__lowercase)				,				[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]				,				)

        __UpperCamelCase  :str    						=	tokenizer.tokenize('''I was born in 92000, and this is falsé.''')
        self.assertListEqual(
            __lowercase				,				[
                SPIECE_UNDERLINE + '''I''',
                SPIECE_UNDERLINE + '''was''',
                SPIECE_UNDERLINE + '''b''',
                '''or''',
                '''n''',
                SPIECE_UNDERLINE + '''in''',
                SPIECE_UNDERLINE + '''''',
                '''9''',
                '''2''',
                '''0''',
                '''0''',
                '''0''',
                ''',''',
                SPIECE_UNDERLINE + '''and''',
                SPIECE_UNDERLINE + '''this''',
                SPIECE_UNDERLINE + '''is''',
                SPIECE_UNDERLINE + '''f''',
                '''al''',
                '''s''',
                '''é''',
                '''.''',
            ]				,				)
        __UpperCamelCase  :Optional[int]    						=	tokenizer.convert_tokens_to_ids(__lowercase)
        self.assertListEqual(
            __lowercase				,				[
                value + tokenizer.fairseq_offset
                for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
            ]				,				)

        __UpperCamelCase  :Union[str, Any]    						=	tokenizer.convert_ids_to_tokens(__lowercase)
        self.assertListEqual(
            __lowercase				,				[
                SPIECE_UNDERLINE + '''I''',
                SPIECE_UNDERLINE + '''was''',
                SPIECE_UNDERLINE + '''b''',
                '''or''',
                '''n''',
                SPIECE_UNDERLINE + '''in''',
                SPIECE_UNDERLINE + '''''',
                '''<unk>''',
                '''2''',
                '''0''',
                '''0''',
                '''0''',
                ''',''',
                SPIECE_UNDERLINE + '''and''',
                SPIECE_UNDERLINE + '''this''',
                SPIECE_UNDERLINE + '''is''',
                SPIECE_UNDERLINE + '''f''',
                '''al''',
                '''s''',
                '''<unk>''',
                '''.''',
            ]				,				)







    @cached_property
    def     UpperCamelCase__     (			self) ->			Any:
        return XGLMTokenizer.from_pretrained('''facebook/xglm-564M''')







    def     UpperCamelCase__     (			self) ->			Tuple:
        with tempfile.NamedTemporaryFile() as f:
            shutil.copyfile(__lowercase				,				f.name)
            __UpperCamelCase  :Optional[Any]    						=	XGLMTokenizer(f.name				,				keep_accents=__lowercase)
            __UpperCamelCase  :int    						=	pickle.dumps(__lowercase)
        pickle.loads(__lowercase)







    def     UpperCamelCase__     (			self) ->			Tuple:
        if not self.test_rust_tokenizer:
            return

        __UpperCamelCase  :Any    						=	self.get_tokenizer()
        __UpperCamelCase  :List[str]    						=	self.get_rust_tokenizer()

        __UpperCamelCase  :Union[str, Any]    						=	'''I was born in 92000, and this is falsé.'''

        __UpperCamelCase  :str    						=	tokenizer.tokenize(__lowercase)
        __UpperCamelCase  :Union[str, Any]    						=	rust_tokenizer.tokenize(__lowercase)
        self.assertListEqual(__lowercase				,				__lowercase)

        __UpperCamelCase  :int    						=	tokenizer.encode(__lowercase				,				add_special_tokens=__lowercase)
        __UpperCamelCase  :Union[str, Any]    						=	rust_tokenizer.encode(__lowercase				,				add_special_tokens=__lowercase)
        self.assertListEqual(__lowercase				,				__lowercase)

        __UpperCamelCase  :Union[str, Any]    						=	self.get_rust_tokenizer()
        __UpperCamelCase  :Optional[Any]    						=	tokenizer.encode(__lowercase)
        __UpperCamelCase  :Dict    						=	rust_tokenizer.encode(__lowercase)
        self.assertListEqual(__lowercase				,				__lowercase)







    @slow
    def     UpperCamelCase__     (			self) ->			int:
        __UpperCamelCase  :Tuple    						=	'''Hello World!'''
        __UpperCamelCase  :Union[str, Any]    						=	[2, 31_227, 4_447, 35]

        self.assertListEqual(__lowercase				,				self.big_tokenizer.encode(__lowercase))







    @slow
    def     UpperCamelCase__     (			self) ->			Union[str, Any]:
        __UpperCamelCase  :Tuple    						=	(
            '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
            ''' add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth'''
        )
        # fmt: off
        __UpperCamelCase  :Any    						=	[2, 1_018, 67, 11, 1_988, 2_617, 5_631, 278, 11, 3_407, 48, 71_630, 28_085, 4, 3_234, 157, 13, 6, 5, 6, 4, 3_526, 768, 15, 659, 57, 298, 3_983, 864, 129, 21, 6, 5, 13_675, 377, 652, 7_580, 10_341, 155, 2_817, 422, 1_666, 7, 1_674, 53, 113, 202_277, 17_892, 33, 60, 87, 4, 3_234, 157, 61, 2_667, 52_376, 19, 88, 23, 735]
        # fmt: on

        self.assertListEqual(__lowercase				,				self.big_tokenizer.encode(__lowercase))







    @slow
    def     UpperCamelCase__     (			self) ->			List[str]:
        # fmt: off
        __UpperCamelCase  :Optional[int]    						=	{
            '''input_ids''': [[2, 108_825, 1_163, 15, 88_010, 473, 15_898, 157, 13_672, 1_857, 312, 8, 238_021, 1_163, 53, 13_672, 1_857, 312, 8, 53_283, 182_396, 8, 18_566, 16, 36_733, 4_101, 8, 230, 244_017, 122_553, 7, 15, 132_597, 4, 293, 12_511, 7_610, 4, 3_414, 132_597, 9, 4, 32_361, 362, 4, 734, 28_512, 32_569, 18, 4, 32_361, 26_096, 14_982, 73, 18_715, 21_433, 235_261, 15, 492, 12_427, 16, 53, 18_715, 21_433, 65_454, 15, 23_659, 563, 16, 278, 597, 2_843, 595, 7_931, 182_396, 64_186, 22, 886, 595, 132_981, 53, 25_540, 3_449, 43_982, 39_901, 5_951, 878, 330, 4, 27_694, 80_269, 312, 53, 6_517, 11_780, 611, 20_408, 5], [2, 6, 132_597, 67, 42_897, 33, 592, 8, 163_729, 25_540, 361, 136_997, 109_514, 173_230, 7, 501, 60, 102_913, 196, 5_631, 235, 63_243, 473, 6, 231_757, 74, 5_277, 7_905, 53, 3_095, 37_317, 22, 454, 183_874, 5], [2, 268, 31_298, 46_530, 6, 132_935, 43_831, 7, 597, 32, 24, 3_688, 9_865, 5]],
            '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
        }  # noqa: E501
        # fmt: on

        self.tokenizer_integration_test_util(
            expected_encoding=__lowercase				,				model_name='''facebook/xglm-564M'''				,				padding=__lowercase				,				)






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

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



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Optional[Any]    						=	cn.convert_to_negative(SCREAMING_SNAKE_CASE			)
    # assert negative_img array for at least one True
    assert negative_img.any()



def lowerCamelCase						(     ):
    '''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(SCREAMING_SNAKE_CASE						,    110			)			).startswith(
            '''<PIL.Image.Image image mode=RGB size=100x100 at'''			)



def lowerCamelCase						(     ):
    '''simple docstring'''







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



def lowerCamelCase						(     ):
    '''simple docstring'''







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



def lowerCamelCase						(     ):
    '''simple docstring'''







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



def lowerCamelCase						(     ):
    '''simple docstring'''







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



def lowerCamelCase						(     ):
    '''simple docstring'''







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



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase						, __UpperCamelCase  :Dict    						=	sob.sobel_filter(SCREAMING_SNAKE_CASE			)
    assert grad.any() and theta.any()



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Dict    						=	sp.make_sepia(SCREAMING_SNAKE_CASE						,    20			)
    assert sepia.all()



def lowerCamelCase						(     SCREAMING_SNAKE_CASE = "digital_image_processing/image_data/lena_small.jpg"			):
    '''simple docstring'''







    __UpperCamelCase  :Dict    						=	bs.Burkes(imread(SCREAMING_SNAKE_CASE						,    1			)						,    120			)
    burkes.process()
    assert burkes.output_img.any()



def lowerCamelCase						(     SCREAMING_SNAKE_CASE = "digital_image_processing/image_data/lena_small.jpg"						,    ):
    '''simple docstring'''







    __UpperCamelCase  :List[str]    						=	rs.NearestNeighbour(imread(SCREAMING_SNAKE_CASE						,    1			)						,    400						,    200			)
    nn.process()
    assert nn.output.any()



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Union[str, Any]    						=	'''digital_image_processing/image_data/lena.jpg'''

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

    # Test for get_neighbors_pixel function() return not None
    __UpperCamelCase  :Optional[int]    						=	0
    __UpperCamelCase  :List[Any]    						=	0
    __UpperCamelCase  :Dict    						=	image[x_coordinate][y_coordinate]

    __UpperCamelCase  :int    						=	lbp.get_neighbors_pixel(
        SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			)

    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
    __UpperCamelCase  :Tuple    						=	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]			):
            __UpperCamelCase  :Optional[int]    						=	lbp.local_binary_value(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			)

    assert lbp_image.any()





