




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


lowerCAmelCase_					    = get_tests_dir("""fixtures/test_sentencepiece.model""")

lowerCAmelCase_					    = {"""target_lang""": """fi""", """source_lang""": """en"""}
lowerCAmelCase_					    = """>>zh<<"""
lowerCAmelCase_					    = """Helsinki-NLP/"""

if is_torch_available():
     lowerCAmelCase_					    = """pt"""
elif is_tf_available():
     lowerCAmelCase_					    = """tf"""
else:
     lowerCAmelCase_					    = """jax"""






@require_sentencepiece
class  _lowerCAmelCase     (  __lowerCAmelCase    ,			unittest.TestCase	):
      A__		     =		MarianTokenizer
      A__		     =		False
      A__		     =		True

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

        lowerCAmelCase__				:  Union[str, Any]		       =     MarianTokenizer.from_pretrained(self.tmpdirname		)
        tokenizer.save_pretrained(self.tmpdirname		)

      def 	__magic_name__(   self      ,				**__UpperCAmelCase		):
        return MarianTokenizer.from_pretrained(self.tmpdirname      ,				**lowerCAmelCase_		)

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        return (
            "This is a test",
            "This is a test",
        )

      def 	__magic_name__(   self		):
        lowerCAmelCase__				:  Any		       =     '''</s>'''
        lowerCAmelCase__				:  Tuple		       =     0

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

      def 	__magic_name__(   self		):
        lowerCAmelCase__				:  Dict		       =     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(lowerCAmelCase_		)      ,				9		)

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

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

        lowerCAmelCase__				:  Optional[Any]		       =     tempfile.mkdtemp()
        en_de_tokenizer.save_pretrained(lowerCAmelCase_		)
        lowerCAmelCase__				:  Tuple		       =     [x.name for x in Path(lowerCAmelCase_		).glob('''*'''		)]
        self.assertIn('''source.spm'''      ,				lowerCAmelCase_		)
        MarianTokenizer.from_pretrained(lowerCAmelCase_		)

      def 	__magic_name__(   self		):
        lowerCAmelCase__				:  Any		       =     self.get_tokenizer()

        lowerCAmelCase__				:  Optional[Any]		       =     tok(
            ['''I am a small frog''' * 1000, '''I am a small frog''']      ,				padding=lowerCAmelCase_      ,				truncation=lowerCAmelCase_      ,				return_tensors=lowerCAmelCase_		)
        self.assertIsInstance(lowerCAmelCase_      ,				lowerCAmelCase_		)
        self.assertEqual(batch.input_ids.shape      ,				(2, 512)		)

      def 	__magic_name__(   self		):
        lowerCAmelCase__				:  Tuple		       =     self.get_tokenizer()
        lowerCAmelCase__				:  str		       =     tok(['''I am a tiny frog''', '''I am a small frog''']      ,				padding=lowerCAmelCase_      ,				return_tensors=lowerCAmelCase_		)
        self.assertIsInstance(lowerCAmelCase_      ,				lowerCAmelCase_		)
        self.assertEqual(batch_smaller.input_ids.shape      ,				(2, 10)		)

      @slow
      def 	__magic_name__(   self		):
        # fmt: off
        lowerCAmelCase__				:  Optional[Any]		       =     {'''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=lowerCAmelCase_      ,				model_name='''Helsinki-NLP/opus-mt-en-de'''      ,				revision='''1a8c2263da11e68e50938f97e10cd57820bd504c'''      ,				decode_kwargs={'''use_source_tokenizer''': True}      ,				)




      def 	__magic_name__(   self		):
        lowerCAmelCase__				:  Optional[Any]		       =     MarianTokenizer.from_pretrained('''hf-internal-testing/test-marian-two-vocabs'''		)

        lowerCAmelCase__				:  Any		       =     '''Tämä on testi'''
        lowerCAmelCase__				:  str		       =     '''This is a test'''

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

        lowerCAmelCase__				:  Any		       =     tokenizer(lowerCAmelCase_		).input_ids
        self.assertListEqual(lowerCAmelCase_      ,				lowerCAmelCase_		)

        lowerCAmelCase__				:  Union[str, Any]		       =     tokenizer(text_target=lowerCAmelCase_		).input_ids
        self.assertListEqual(lowerCAmelCase_      ,				lowerCAmelCase_		)

        lowerCAmelCase__				:  List[Any]		       =     tokenizer.decode(lowerCAmelCase_      ,				skip_special_tokens=lowerCAmelCase_		)
        self.assertEqual(lowerCAmelCase_      ,				lowerCAmelCase_		)







import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


lowerCAmelCase_					    = logging.get_logger(__name__)






class  _lowerCAmelCase     (  _lowercase	):

      def __init__(   self      ,				*__UpperCAmelCase      ,				**__UpperCAmelCase		):
        warnings.warn(
            '''The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
            ''' use OwlViTImageProcessor instead.'''      ,				__UpperCAmelCase      ,				)
        super().__init__(*__UpperCAmelCase      ,				**__UpperCAmelCase		)

