



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 CLIPSegProcessor, ViTImageProcessor







@require_vision
class     __lowerCAmelCase					(    unittest.TestCase		):



			def 					_lowerCamelCase (		self     :						str)     ->					List[str]:



						"""simple docstring"""






						_UpperCAmelCase	 =     tempfile.mkdtemp()

						# fmt: off
						_UpperCAmelCase	 =     ['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
						_UpperCAmelCase	 =     dict(zip(A				,	range(len(A))))
						_UpperCAmelCase	 =     ['#version: 0.2', 'l o', 'lo w</w>', 'e r</w>', '']
						_UpperCAmelCase	 =     {'unk_token': '<unk>'}

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

						_UpperCAmelCase	 =     {
						    'do_resize': True,
						    'size': 20,
						    'do_center_crop': True,
						    'crop_size': 18,
						    'do_normalize': True,
						    'image_mean': [0.4_8_1_4_5_4_6_6, 0.4_5_7_8_2_7_5, 0.4_0_8_2_1_0_7_3],
						    'image_std': [0.2_6_8_6_2_9_5_4, 0.2_6_1_3_0_2_5_8, 0.2_7_5_7_7_7_1_1],
						}
						_UpperCAmelCase	 =     os.path.join(self.tmpdirname				,	A)
						with open(self.image_processor_file				,	'w'				,	encoding='utf-8') as fp:
									json.dump(A				,	A)



			def 					_lowerCamelCase (		self     :						Optional[Any]				,	**A     :						Tuple)     ->					Optional[int]:



						"""simple docstring"""






						return CLIPTokenizer.from_pretrained(self.tmpdirname				,	**A)



			def 					_lowerCamelCase (		self     :						List[Any]				,	**A     :						Union[str, Any])     ->					str:



						"""simple docstring"""






						return CLIPTokenizerFast.from_pretrained(self.tmpdirname				,	**A)



			def 					_lowerCamelCase (		self     :						Dict				,	**A     :						Any)     ->					Dict:



						"""simple docstring"""






						return ViTImageProcessor.from_pretrained(self.tmpdirname				,	**A)



			def 					_lowerCamelCase (		self     :						Dict)     ->					List[Any]:



						"""simple docstring"""






						shutil.rmtree(self.tmpdirname)



			def 					_lowerCamelCase (		self     :						Union[str, Any])     ->					Optional[int]:



						"""simple docstring"""






						_UpperCAmelCase	 =     [np.random.randint(2_55				,	size=(3, 30, 4_00)				,	dtype=np.uinta)]

						_UpperCAmelCase	 =     [Image.fromarray(np.moveaxis(A				,	0				,	-1)) for x in image_inputs]

						return image_inputs



			def 					_lowerCamelCase (		self     :						List[str])     ->					int:



						"""simple docstring"""






						_UpperCAmelCase	 =     self.get_tokenizer()
						_UpperCAmelCase	 =     self.get_rust_tokenizer()
						_UpperCAmelCase	 =     self.get_image_processor()

						_UpperCAmelCase	 =     CLIPSegProcessor(tokenizer=A				,	image_processor=A)
						processor_slow.save_pretrained(self.tmpdirname)
						_UpperCAmelCase	 =     CLIPSegProcessor.from_pretrained(self.tmpdirname				,	use_fast=A)

						_UpperCAmelCase	 =     CLIPSegProcessor(tokenizer=A				,	image_processor=A)
						processor_fast.save_pretrained(self.tmpdirname)
						_UpperCAmelCase	 =     CLIPSegProcessor.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				,	A)
						self.assertIsInstance(processor_fast.tokenizer				,	A)

						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				,	A)
						self.assertIsInstance(processor_fast.image_processor				,	A)



			def 					_lowerCamelCase (		self     :						Optional[int])     ->					Dict:



						"""simple docstring"""






						_UpperCAmelCase	 =     CLIPSegProcessor(tokenizer=self.get_tokenizer()				,	image_processor=self.get_image_processor())
						processor.save_pretrained(self.tmpdirname)

						_UpperCAmelCase	 =     self.get_tokenizer(bos_token='(BOS)'				,	eos_token='(EOS)')
						_UpperCAmelCase	 =     self.get_image_processor(do_normalize=A				,	padding_value=1.0)

						_UpperCAmelCase	 =     CLIPSegProcessor.from_pretrained(
						    self.tmpdirname				,	bos_token='(BOS)'				,	eos_token='(EOS)'				,	do_normalize=A				,	padding_value=1.0)

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

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



			def 					_lowerCamelCase (		self     :						Optional[Any])     ->					Optional[Any]:



						"""simple docstring"""






						_UpperCAmelCase	 =     self.get_image_processor()
						_UpperCAmelCase	 =     self.get_tokenizer()

						_UpperCAmelCase	 =     CLIPSegProcessor(tokenizer=A				,	image_processor=A)

						_UpperCAmelCase	 =     self.prepare_image_inputs()

						_UpperCAmelCase	 =     image_processor(A				,	return_tensors='np')
						_UpperCAmelCase	 =     processor(images=A				,	return_tensors='np')

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



			def 					_lowerCamelCase (		self     :						List[Any])     ->					Dict:



						"""simple docstring"""






						_UpperCAmelCase	 =     self.get_image_processor()
						_UpperCAmelCase	 =     self.get_tokenizer()

						_UpperCAmelCase	 =     CLIPSegProcessor(tokenizer=A				,	image_processor=A)

						_UpperCAmelCase	 =     'lower newer'

						_UpperCAmelCase	 =     processor(text=A)

						_UpperCAmelCase	 =     tokenizer(A)

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



			def 					_lowerCamelCase (		self     :						Optional[Any])     ->					Optional[int]:



						"""simple docstring"""






						_UpperCAmelCase	 =     self.get_image_processor()
						_UpperCAmelCase	 =     self.get_tokenizer()

						_UpperCAmelCase	 =     CLIPSegProcessor(tokenizer=A				,	image_processor=A)

						_UpperCAmelCase	 =     'lower newer'
						_UpperCAmelCase	 =     self.prepare_image_inputs()

						_UpperCAmelCase	 =     processor(text=A				,	images=A)

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

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



			def 					_lowerCamelCase (		self     :						Optional[int])     ->					Union[str, Any]:



						"""simple docstring"""






						_UpperCAmelCase	 =     self.get_image_processor()
						_UpperCAmelCase	 =     self.get_tokenizer()

						_UpperCAmelCase	 =     CLIPSegProcessor(tokenizer=A				,	image_processor=A)

						_UpperCAmelCase	 =     self.prepare_image_inputs()
						_UpperCAmelCase	 =     self.prepare_image_inputs()

						_UpperCAmelCase	 =     processor(images=A				,	visual_prompt=A)

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

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



			def 					_lowerCamelCase (		self     :						Any)     ->					str:



						"""simple docstring"""






						_UpperCAmelCase	 =     self.get_image_processor()
						_UpperCAmelCase	 =     self.get_tokenizer()

						_UpperCAmelCase	 =     CLIPSegProcessor(tokenizer=A				,	image_processor=A)

						_UpperCAmelCase	 =     [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

						_UpperCAmelCase	 =     processor.batch_decode(A)
						_UpperCAmelCase	 =     tokenizer.batch_decode(A)

						self.assertListEqual(A				,	A)





import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class     __lowerCAmelCase					(    A       ,		unittest.TestCase		):
			UpperCamelCase           =  MgpstrTokenizer
			UpperCamelCase           =  False
			UpperCamelCase           =  {}
			UpperCamelCase           =  False



			def 					_lowerCamelCase (		self     :						int)     ->					List[Any]:



						"""simple docstring"""






						super().setUp()

						# fmt: off
						_UpperCAmelCase	 =     ['[GO]', '[s]', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
						# fmt: on
						_UpperCAmelCase	 =     dict(zip(A				,	range(len(A))))

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



			def 					_lowerCamelCase (		self     :						Dict				,	**A     :						List[Any])     ->					Optional[Any]:



						"""simple docstring"""






						return MgpstrTokenizer.from_pretrained(self.tmpdirname				,	**A)



			def 					_lowerCamelCase (		self     :						List[str]				,	A     :						Optional[int])     ->					Dict:



						"""simple docstring"""






						_UpperCAmelCase	 =     'tester'
						_UpperCAmelCase	 =     'tester'
						return input_text, output_text



			@unittest.skip('MGP-STR always lower cases letters.')
			def 					_lowerCamelCase (		self     :						Optional[Any])     ->					int:



						"""simple docstring"""






						pass



			def 					_lowerCamelCase (		self     :						Optional[int])     ->					Optional[int]:



						"""simple docstring"""






						_UpperCAmelCase	 =     self.get_tokenizers(do_lower_case=A)
						for tokenizer in tokenizers:
									with self.subTest(F"{tokenizer.__class__.__name__}"):
												_UpperCAmelCase	 =     '[SPECIAL_TOKEN]'

												tokenizer.add_special_tokens({'cls_token': special_token})
												_UpperCAmelCase	 =     tokenizer.encode([special_token]				,	add_special_tokens=A)
												self.assertEqual(len(A)				,	1)

												_UpperCAmelCase	 =     tokenizer.decode(A				,	skip_special_tokens=A)
												self.assertTrue(special_token not in decoded)



			def 					_lowerCamelCase (		self     :						Any)     ->					str:



						"""simple docstring"""






						_UpperCAmelCase	 =     self.get_tokenizers()
						for tokenizer in tokenizers:
									with self.subTest(F"{tokenizer.__class__.__name__}"):
												_UpperCAmelCase ,  _UpperCAmelCase	 =     self.get_input_output_texts(A)

												_UpperCAmelCase	 =     tokenizer.tokenize(A)
												_UpperCAmelCase	 =     tokenizer.convert_tokens_to_ids(A)
												_UpperCAmelCase	 =     tokenizer.encode(A				,	add_special_tokens=A)
												self.assertListEqual(A				,	A)

												_UpperCAmelCase	 =     tokenizer.convert_ids_to_tokens(A)
												self.assertNotEqual(len(A)				,	0)
												_UpperCAmelCase	 =     tokenizer.decode(A)
												self.assertIsInstance(A				,	A)

												self.assertEqual(text_a.replace(' '				,	'')				,	A)



			@unittest.skip('MGP-STR tokenizer only handles one sequence.')
			def 					_lowerCamelCase (		self     :						str)     ->					List[str]:



						"""simple docstring"""






						pass



			@unittest.skip('inputs cannot be pretokenized in MgpstrTokenizer')
			def 					_lowerCamelCase (		self     :						Dict)     ->					Tuple:



						"""simple docstring"""






						pass
