
"""simple docstring"""







import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
							from PIL import Image

							from transformers import CLIPImageProcessor, CLIPProcessor




@require_vision
class  A__       (	unittest.TestCase):

		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Union[str, Any]									=      tempfile.mkdtemp()

			# fmt: off
			__lowerCAmelCase			:						Optional[int]									=      ['''l''', '''o''', '''w''', '''e''', '''r''', '''s''', '''t''', '''i''', '''d''', '''n''', '''lo''', '''l</w>''', '''w</w>''', '''r</w>''', '''t</w>''', '''low</w>''', '''er</w>''', '''lowest</w>''', '''newer</w>''', '''wider''', '''<unk>''', '''<|startoftext|>''', '''<|endoftext|>''']
			# fmt: on
			__lowerCAmelCase			:						str									=      dict(zip(lowerCAmelCase__       ,		range(len(lowerCAmelCase__ ) ) ) )
			__lowerCAmelCase			:						Optional[int]									=      ['''#version: 0.2''', '''l o''', '''lo w</w>''', '''e r</w>''', '''''']
			__lowerCAmelCase			:						Optional[int]									=      {'''unk_token''': '''<unk>'''}

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

			__lowerCAmelCase			:						Tuple									=      {
			    '''do_resize''': True,
			    '''size''': 20,
			    '''do_center_crop''': True,
			    '''crop_size''': 18,
			    '''do_normalize''': True,
			    '''image_mean''': [0.4814_5466, 0.457_8275, 0.4082_1073],
			    '''image_std''': [0.2686_2954, 0.2613_0258, 0.2757_7711],
			}
			__lowerCAmelCase			:						Optional[int]									=      os.path.join(self.tmpdirname       ,		lowerCAmelCase__ )
			with open(self.image_processor_file       ,		'w'       ,		encoding='utf-8' ) as fp:
				json.dump(lowerCAmelCase__       ,		lowerCAmelCase__ )

		def 							__lowerCamelCase							(      self       ,		**_SCREAMING_SNAKE_CASE ):
			return CLIPTokenizer.from_pretrained(self.tmpdirname       ,		**lowerCAmelCase__ )

		def 							__lowerCamelCase							(      self       ,		**_SCREAMING_SNAKE_CASE ):
			return CLIPTokenizerFast.from_pretrained(self.tmpdirname       ,		**lowerCAmelCase__ )

		def 							__lowerCamelCase							(      self       ,		**_SCREAMING_SNAKE_CASE ):
			return CLIPImageProcessor.from_pretrained(self.tmpdirname       ,		**lowerCAmelCase__ )

		def 							__lowerCamelCase							(      self ):
			shutil.rmtree(self.tmpdirname )

		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Tuple									=      [np.random.randint(2_55       ,		size=(3, 30, 4_00)       ,		dtype=np.uinta )]

			__lowerCAmelCase			:						int									=      [Image.fromarray(np.moveaxis(lowerCAmelCase__       ,		0       ,		-1 ) ) for x in image_inputs]

			return image_inputs

		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						List[str]									=      self.get_tokenizer()
			__lowerCAmelCase			:						str									=      self.get_rust_tokenizer()
			__lowerCAmelCase			:						Optional[int]									=      self.get_image_processor()

			__lowerCAmelCase			:						str									=      CLIPProcessor(tokenizer=lowerCAmelCase__       ,		image_processor=lowerCAmelCase__ )
			processor_slow.save_pretrained(self.tmpdirname )
			__lowerCAmelCase			:						str									=      CLIPProcessor.from_pretrained(self.tmpdirname       ,		use_fast=lowerCAmelCase__ )

			__lowerCAmelCase			:						int									=      CLIPProcessor(tokenizer=lowerCAmelCase__       ,		image_processor=lowerCAmelCase__ )
			processor_fast.save_pretrained(self.tmpdirname )
			__lowerCAmelCase			:						Tuple									=      CLIPProcessor.from_pretrained(self.tmpdirname )

			self.assertEqual(processor_slow.tokenizer.get_vocab()       ,		tokenizer_slow.get_vocab() )
			self.assertEqual(processor_fast.tokenizer.get_vocab()       ,		tokenizer_fast.get_vocab() )
			self.assertEqual(tokenizer_slow.get_vocab()       ,		tokenizer_fast.get_vocab() )
			self.assertIsInstance(processor_slow.tokenizer       ,		lowerCAmelCase__ )
			self.assertIsInstance(processor_fast.tokenizer       ,		lowerCAmelCase__ )

			self.assertEqual(processor_slow.image_processor.to_json_string()       ,		image_processor.to_json_string() )
			self.assertEqual(processor_fast.image_processor.to_json_string()       ,		image_processor.to_json_string() )
			self.assertIsInstance(processor_slow.image_processor       ,		lowerCAmelCase__ )
			self.assertIsInstance(processor_fast.image_processor       ,		lowerCAmelCase__ )

		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Optional[Any]									=      CLIPProcessor(tokenizer=self.get_tokenizer()       ,		image_processor=self.get_image_processor() )
			processor.save_pretrained(self.tmpdirname )

			__lowerCAmelCase			:						Tuple									=      self.get_tokenizer(bos_token='(BOS)'       ,		eos_token='(EOS)' )
			__lowerCAmelCase			:						List[Any]									=      self.get_image_processor(do_normalize=lowerCAmelCase__       ,		padding_value=1.0 )

			__lowerCAmelCase			:						int									=      CLIPProcessor.from_pretrained(
			    self.tmpdirname       ,		bos_token='(BOS)'       ,		eos_token='(EOS)'       ,		do_normalize=lowerCAmelCase__       ,		padding_value=1.0 )

			self.assertEqual(processor.tokenizer.get_vocab()       ,		tokenizer_add_kwargs.get_vocab() )
			self.assertIsInstance(processor.tokenizer       ,		lowerCAmelCase__ )

			self.assertEqual(processor.image_processor.to_json_string()       ,		image_processor_add_kwargs.to_json_string() )
			self.assertIsInstance(processor.image_processor       ,		lowerCAmelCase__ )

		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Dict									=      self.get_image_processor()
			__lowerCAmelCase			:						List[Any]									=      self.get_tokenizer()

			__lowerCAmelCase			:						Dict									=      CLIPProcessor(tokenizer=lowerCAmelCase__       ,		image_processor=lowerCAmelCase__ )

			__lowerCAmelCase			:						Dict									=      self.prepare_image_inputs()

			__lowerCAmelCase			:						int									=      image_processor(lowerCAmelCase__       ,		return_tensors='np' )
			__lowerCAmelCase			:						Any									=      processor(images=lowerCAmelCase__       ,		return_tensors='np' )

			for key in input_image_proc.keys():
				self.assertAlmostEqual(input_image_proc[key].sum()       ,		input_processor[key].sum()       ,		delta=1E-2 )

		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Any									=      self.get_image_processor()
			__lowerCAmelCase			:						Optional[Any]									=      self.get_tokenizer()

			__lowerCAmelCase			:						List[Any]									=      CLIPProcessor(tokenizer=lowerCAmelCase__       ,		image_processor=lowerCAmelCase__ )

			__lowerCAmelCase			:						str									=      '''lower newer'''

			__lowerCAmelCase			:						List[str]									=      processor(text=lowerCAmelCase__ )

			__lowerCAmelCase			:						List[str]									=      tokenizer(lowerCAmelCase__ )

			for key in encoded_tok.keys():
				self.assertListEqual(encoded_tok[key]       ,		encoded_processor[key] )

		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Optional[Any]									=      self.get_image_processor()
			__lowerCAmelCase			:						Tuple									=      self.get_tokenizer()

			__lowerCAmelCase			:						List[Any]									=      CLIPProcessor(tokenizer=lowerCAmelCase__       ,		image_processor=lowerCAmelCase__ )

			__lowerCAmelCase			:						Optional[int]									=      '''lower newer'''
			__lowerCAmelCase			:						List[Any]									=      self.prepare_image_inputs()

			__lowerCAmelCase			:						str									=      processor(text=lowerCAmelCase__       ,		images=lowerCAmelCase__ )

			self.assertListEqual(list(inputs.keys() )       ,		['input_ids', 'attention_mask', 'pixel_values'] )

			# test if it raises when no input is passed
			with pytest.raises(lowerCAmelCase__ ):
				processor()

		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Union[str, Any]									=      self.get_image_processor()
			__lowerCAmelCase			:						Optional[Any]									=      self.get_tokenizer()

			__lowerCAmelCase			:						str									=      CLIPProcessor(tokenizer=lowerCAmelCase__       ,		image_processor=lowerCAmelCase__ )

			__lowerCAmelCase			:						List[str]									=      [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

			__lowerCAmelCase			:						Union[str, Any]									=      processor.batch_decode(lowerCAmelCase__ )
			__lowerCAmelCase			:						Any									=      tokenizer.batch_decode(lowerCAmelCase__ )

			self.assertListEqual(lowerCAmelCase__       ,		lowerCAmelCase__ )







		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Optional[Any]									=      self.get_image_processor()
			__lowerCAmelCase			:						Tuple									=      self.get_tokenizer()

			__lowerCAmelCase			:						int									=      CLIPProcessor(tokenizer=lowerCAmelCase__       ,		image_processor=lowerCAmelCase__ )

			__lowerCAmelCase			:						Optional[Any]									=      '''lower newer'''
			__lowerCAmelCase			:						Optional[int]									=      self.prepare_image_inputs()

			__lowerCAmelCase			:						int									=      processor(text=lowerCAmelCase__       ,		images=lowerCAmelCase__ )

			self.assertListEqual(list(inputs.keys() )       ,		processor.model_input_names )



import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class        _lowercase      (			A__						,			unittest.TestCase       ):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE__				:			Optional[int]						=		TransfoXLTokenizer
				SCREAMING_SNAKE_CASE__				:			int						=		False
				SCREAMING_SNAKE_CASE__				:			Optional[Any]						=		False


				def 		__magic_name__(       self			:str	)		->			Dict:
										super().setUp()

										__SCREAMING_SNAKE_CASE						:     List[str]					=		[
										    '''<unk>''',
										    '''[CLS]''',
										    '''[SEP]''',
										    '''want''',
										    '''unwanted''',
										    '''wa''',
										    '''un''',
										    '''running''',
										    ''',''',
										    '''low''',
										    '''l''',
										]
										__SCREAMING_SNAKE_CASE						:     Any					=		os.path.join(self.tmpdirname			,			VOCAB_FILES_NAMES['''vocab_file''']	)
										with open(self.vocab_file			,			'''w'''			,			encoding='''utf-8'''	) as vocab_writer:
																vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]	)	)


				def 		__magic_name__(       self			:Any			,			**lowerCAmelCase__			:int	)		->			str:
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		True
										return TransfoXLTokenizer.from_pretrained(self.tmpdirname			,			**lowerCAmelCase__	)


				def 		__magic_name__(       self			:Union[str, Any]			,			lowerCAmelCase__			:List[Any]	)		->			Tuple:
										__SCREAMING_SNAKE_CASE						:     Dict					=		'''<unk> UNwanted , running'''
										__SCREAMING_SNAKE_CASE						:     List[str]					=		'''<unk> unwanted, running'''
										return input_text, output_text


				def 		__magic_name__(       self			:Any	)		->			Union[str, Any]:
										__SCREAMING_SNAKE_CASE						:     int					=		TransfoXLTokenizer(vocab_file=self.vocab_file			,			lower_case=lowerCAmelCase__	)

										__SCREAMING_SNAKE_CASE						:     int					=		tokenizer.tokenize('''<unk> UNwanted , running'''	)
										self.assertListEqual(lowerCAmelCase__			,			['''<unk>''', '''unwanted''', ''',''', '''running''']	)

										self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__	)			,			[0, 4, 8, 7]	)


				def 		__magic_name__(       self			:Tuple	)		->			Union[str, Any]:
										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		TransfoXLTokenizer(lower_case=lowerCAmelCase__	)

										self.assertListEqual(
										    tokenizer.tokenize(''' \tHeLLo ! how  \n Are yoU ?  '''	)			,			['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']	)


				def 		__magic_name__(       self			:Tuple	)		->			List[Any]:
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		TransfoXLTokenizer(lower_case=lowerCAmelCase__	)

										self.assertListEqual(
										    tokenizer.tokenize(''' \tHeLLo ! how  \n Are yoU ?  '''	)			,			['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']	)


				def 		__magic_name__(       self			:Dict	)		->			List[Any]:
										__SCREAMING_SNAKE_CASE						:     List[str]					=		TransfoXLTokenizer(lower_case=lowerCAmelCase__	)
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		'''Hello (bracket) and side-scrolled [and] Henry\'s $5,000 with 3.34 m. What\'s up!?'''
										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		[
										    '''Hello''',
										    '''(''',
										    '''bracket''',
										    ''')''',
										    '''and''',
										    '''side''',
										    '''@-@''',
										    '''scrolled''',
										    '''[''',
										    '''and''',
										    ''']''',
										    '''Henry''',
										    '''\'s''',
										    '''$''',
										    '''5''',
										    '''@,@''',
										    '''000''',
										    '''with''',
										    '''3''',
										    '''@.@''',
										    '''34''',
										    '''m''',
										    '''.''',
										    '''What''',
										    '''\'s''',
										    '''up''',
										    '''!''',
										    '''?''',
										]

										self.assertListEqual(tokenizer.tokenize(lowerCAmelCase__	)			,			lowerCAmelCase__	)

										self.assertEqual(tokenizer.convert_tokens_to_string(lowerCAmelCase__	)			,			lowerCAmelCase__	)



				def 		__magic_name__(       self			:str	)		->			int:
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		self.get_tokenizer()
										__SCREAMING_SNAKE_CASE						:     Any					=		len(lowerCAmelCase__	)

										tokenizer.add_tokens(['''new1''', '''new2''']	)
										tokenizer.move_added_token('''new1'''			,			1	)

										# Check that moved token is not copied (duplicate)
										self.assertEqual(len(lowerCAmelCase__	)			,			original_len + 2	)
										# Check that token is moved to specified id
										self.assertEqual(tokenizer.encode('''new1'''	)			,			[1]	)
										self.assertEqual(tokenizer.decode([1]	)			,			'''new1'''	)
