


'''simple docstring'''


import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
				from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase_						:  List[str]				  =						get_tests_dir('fixtures/test_sentencepiece.model')

UpperCAmelCase_						:  List[Any]				  =						{'target_lang': 'fi', 'source_lang': 'en'}
UpperCAmelCase_						:  int				  =						'>>zh<<'
UpperCAmelCase_						:  int				  =						'Helsinki-NLP/'

if is_torch_available():
				UpperCAmelCase_						:  str				  =						'pt'
elif is_tf_available():
				UpperCAmelCase_						:  Optional[int]				  =						'tf'
else:
				UpperCAmelCase_						:  List[Any]				  =						'jax'





@require_sentencepiece
class        lowercase__    (		lowercase__	,	unittest.TestCase   ):





							'''simple docstring'''


							A_				: str       =    MarianTokenizer
							A_				: Tuple       =    False
							A_				: int       =    True






							def UpperCAmelCase_      (       self    ):
											super().setUp()
											_SCREAMING_SNAKE_CASE					:			List[str]							= ["""</s>""", """<unk>""", """▁This""", """▁is""", """▁a""", """▁t""", """est""", """\u0120""", """<pad>"""]
											_SCREAMING_SNAKE_CASE					:			Tuple							= dict(zip(lowercase_       ,   range(len(lowercase_    )    )    )    )
											_SCREAMING_SNAKE_CASE					:			List[Any]							= Path(self.tmpdirname    )
											save_json(lowercase_       ,   save_dir / VOCAB_FILES_NAMES["""vocab"""]    )
											save_json(lowercase_       ,   save_dir / VOCAB_FILES_NAMES["""tokenizer_config_file"""]    )
											if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
															copyfile(lowercase_       ,   save_dir / VOCAB_FILES_NAMES["""source_spm"""]    )
															copyfile(lowercase_       ,   save_dir / VOCAB_FILES_NAMES["""target_spm"""]    )

											_SCREAMING_SNAKE_CASE					:			List[str]							= MarianTokenizer.from_pretrained(self.tmpdirname    )
											tokenizer.save_pretrained(self.tmpdirname    )






							def UpperCAmelCase_      (       self       ,   **__snake_case    ):
											return MarianTokenizer.from_pretrained(self.tmpdirname       ,   **lowercase_    )






							def UpperCAmelCase_      (       self       ,   __snake_case    ):
											return (
											    "This is a test",
											    "This is a test",
											)






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE					:			Tuple							= """</s>"""
											_SCREAMING_SNAKE_CASE					:			str							= 0

											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    ):
											_SCREAMING_SNAKE_CASE					:			int							= list(self.get_tokenizer().get_vocab().keys()    )

											self.assertEqual(vocab_keys[0]       ,   """</s>"""    )
											self.assertEqual(vocab_keys[1]       ,   """<unk>"""    )
											self.assertEqual(vocab_keys[-1]       ,   """<pad>"""    )
											self.assertEqual(len(lowercase_    )       ,   9    )






							def UpperCAmelCase_      (       self    ):
											self.assertEqual(self.get_tokenizer().vocab_size       ,   9    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE					:			Optional[int]							= MarianTokenizer.from_pretrained(f"""{ORG_NAME}opus-mt-en-de"""    )
											_SCREAMING_SNAKE_CASE					:			int							= en_de_tokenizer(["""I am a small frog"""]       ,   return_tensors=lowercase_    )
											self.assertIsInstance(lowercase_       ,   lowercase_    )
											_SCREAMING_SNAKE_CASE					:			str							= [38, 121, 14, 697, 3_8848, 0]
											self.assertListEqual(lowercase_       ,   batch.input_ids[0]    )

											_SCREAMING_SNAKE_CASE					:			List[Any]							= tempfile.mkdtemp()
											en_de_tokenizer.save_pretrained(lowercase_    )
											_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= [x.name for x in Path(lowercase_    ).glob("""*"""    )]
											self.assertIn("""source.spm"""       ,   lowercase_    )
											MarianTokenizer.from_pretrained(lowercase_    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE					:			List[str]							= self.get_tokenizer()

											_SCREAMING_SNAKE_CASE					:			Optional[int]							= tok(
											    ["""I am a small frog""" * 1000, """I am a small frog"""]       ,   padding=lowercase_       ,   truncation=lowercase_       ,   return_tensors=lowercase_    )
											self.assertIsInstance(lowercase_       ,   lowercase_    )
											self.assertEqual(batch.input_ids.shape       ,   (2, 512)    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE					:			str							= self.get_tokenizer()
											_SCREAMING_SNAKE_CASE					:			Dict							= tok(["""I am a tiny frog""", """I am a small frog"""]       ,   padding=lowercase_       ,   return_tensors=lowercase_    )
											self.assertIsInstance(lowercase_       ,   lowercase_    )
											self.assertEqual(batch_smaller.input_ids.shape       ,   (2, 10)    )






							@slow
							def UpperCAmelCase_      (       self    ):
											# fmt: off
											_SCREAMING_SNAKE_CASE					:			List[str]							= {"""input_ids""": [[4_3495, 462, 20, 4_2164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 3_8999, 6, 8, 464, 132, 1703, 492, 13, 4669, 3_7867, 13, 7525, 27, 1593, 988, 13, 3_3972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 1_2338, 2, 1_3958, 387, 2, 3629, 6953, 188, 2900, 2, 1_3958, 8011, 1_1501, 23, 8460, 4073, 3_4009, 20, 435, 1_1439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 3_7867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 2_6453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 1_0767, 6, 316, 304, 4239, 3, 0], [148, 1_5722, 19, 1839, 12, 1350, 13, 2_2327, 5082, 5418, 4_7567, 3_5938, 59, 318, 1_9552, 108, 2183, 54, 1_4976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 1_9088, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100], [36, 6395, 1_2570, 3_9147, 1_1597, 6, 266, 4, 4_5405, 7296, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100]], """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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
											# fmt: on

											self.tokenizer_integration_test_util(
											    expected_encoding=lowercase_       ,   model_name="""Helsinki-NLP/opus-mt-en-de"""       ,   revision="""1a8c2263da11e68e50938f97e10cd57820bd504c"""       ,   decode_kwargs={"""use_source_tokenizer""": True}       ,   )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= MarianTokenizer.from_pretrained("""hf-internal-testing/test-marian-two-vocabs"""    )

											_SCREAMING_SNAKE_CASE					:			List[Any]							= """Tämä on testi"""
											_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= """This is a test"""

											_SCREAMING_SNAKE_CASE					:			int							= [76, 7, 2047, 2]
											_SCREAMING_SNAKE_CASE					:			str							= [69, 12, 11, 940, 2]

											_SCREAMING_SNAKE_CASE					:			str							= tokenizer(lowercase_    ).input_ids
											self.assertListEqual(lowercase_       ,   lowercase_    )

											_SCREAMING_SNAKE_CASE					:			List[Any]							= tokenizer(text_target=lowercase_    ).input_ids
											self.assertListEqual(lowercase_       ,   lowercase_    )

											_SCREAMING_SNAKE_CASE					:			Tuple							= tokenizer.decode(lowercase_       ,   skip_special_tokens=lowercase_    )
											self.assertEqual(lowercase_       ,   lowercase_    )








import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
	from PIL import Image

	from transformers import AutoProcessor, BertTokenizer, BlipImageProcessor, BlipProcessor, PreTrainedTokenizerFast




@require_vision
class       lowercase_					(unittest.TestCase   ):





				def 						__UpperCamelCase    (				self)  -> int:
											a__      =tempfile.mkdtemp()

											a__      =BlipImageProcessor()
											a__      =BertTokenizer.from_pretrained('hf-internal-testing/tiny-random-BertModel')

											a__      =BlipProcessor(lowercase_       ,  lowercase_)

											processor.save_pretrained(self.tmpdirname)





				def 						__UpperCamelCase    (				self       ,  **lowercase_)  -> str:
											return AutoProcessor.from_pretrained(self.tmpdirname       ,  **lowercase_).tokenizer





				def 						__UpperCamelCase    (				self       ,  **lowercase_)  -> List[str]:
											return AutoProcessor.from_pretrained(self.tmpdirname       ,  **lowercase_).image_processor





				def 						__UpperCamelCase    (				self)  -> Optional[int]:
											shutil.rmtree(self.tmpdirname)





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =[np.random.randint(255       ,  size=(3, 30, 400)       ,  dtype=np.uinta)]

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

											return image_inputs





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =BlipProcessor(tokenizer=self.get_tokenizer()       ,  image_processor=self.get_image_processor())
											processor.save_pretrained(self.tmpdirname)

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

											a__      =BlipProcessor.from_pretrained(
											    self.tmpdirname       ,  bos_token='(BOS)'       ,  eos_token='(EOS)'       ,  do_normalize=lowercase_       ,  padding_value=1.0)

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

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





				def 						__UpperCamelCase    (				self)  -> int:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      =self.prepare_image_inputs()

											a__      =image_processor(lowercase_       ,  return_tensors='np')
											a__      =processor(images=lowercase_       ,  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 						__UpperCamelCase    (				self)  -> List[str]:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      ='lower newer'

											a__      =processor(text=lowercase_)

											a__      =tokenizer(lowercase_       ,  return_token_type_ids=lowercase_)

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





				def 						__UpperCamelCase    (				self)  -> int:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

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

											a__      =processor(text=lowercase_       ,  images=lowercase_)

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

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





				def 						__UpperCamelCase    (				self)  -> Tuple:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

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

											a__      =processor.batch_decode(lowercase_)
											a__      =tokenizer.batch_decode(lowercase_)

											self.assertListEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

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

											a__      =processor(text=lowercase_       ,  images=lowercase_)

											# For now the processor supports only ['pixel_values', 'input_ids', 'attention_mask']
											self.assertListEqual(list(inputs.keys())       ,  ['pixel_values', 'input_ids', 'attention_mask'])

