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


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

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

if is_torch_available():
    _SCREAMING_SNAKE_CASE										=						'pt'
elif is_tf_available():
    _SCREAMING_SNAKE_CASE										=						'tf'
else:
    _SCREAMING_SNAKE_CASE										=						'jax'



@require_sentencepiece
class 				a							(			__lowerCAmelCase       ,			unittest.TestCase       ):







 """simple docstring"""






 lowerCamelCase	:Tuple    			=		MarianTokenizer
 lowerCamelCase	:Dict    			=		False
 lowerCamelCase	:Dict    			=		True



 def      UpperCAmelCase							(					self							)  ->					List[str]:
        super().setUp()
        _A        =  ["""</s>""", """<unk>""", """▁This""", """▁is""", """▁a""", """▁t""", """est""", """\u0120""", """<pad>"""]
        _A        =  dict(zip(lowerCAmelCase_		,				range(len(lowerCAmelCase_							)							)							)							)
        _A        =  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"""]							)

        _A        =  MarianTokenizer.from_pretrained(self.tmpdirname							)
        tokenizer.save_pretrained(self.tmpdirname							)



 def      UpperCAmelCase							(					self		,				**lowerCAmelCase_							)  ->					MarianTokenizer:
        return MarianTokenizer.from_pretrained(self.tmpdirname		,				**lowerCAmelCase_							)



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					Any:
        return (
            "This is a test",
            "This is a test",
        )



 def      UpperCAmelCase							(					self							)  ->					List[Any]:
        _A        =  """</s>"""
        _A        =  0

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



 def      UpperCAmelCase							(					self							)  ->					Union[str, Any]:
        _A        =  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      UpperCAmelCase							(					self							)  ->					Union[str, Any]:
        self.assertEqual(self.get_tokenizer().vocab_size		,				9							)



 def      UpperCAmelCase							(					self							)  ->					Tuple:
        _A        =  MarianTokenizer.from_pretrained(F'''{ORG_NAME}opus-mt-en-de'''							)
        _A        =  en_de_tokenizer(["""I am a small frog"""]		,				return_tensors=lowerCAmelCase_							)
        self.assertIsInstance(lowerCAmelCase_		,				lowerCAmelCase_							)
        _A        =  [38, 1_21, 14, 6_97, 3_88_48, 0]
        self.assertListEqual(lowerCAmelCase_		,				batch.input_ids[0]							)

        _A        =  tempfile.mkdtemp()
        en_de_tokenizer.save_pretrained(lowerCAmelCase_							)
        _A        =  [x.name for x in Path(lowerCAmelCase_							).glob("""*"""							)]
        self.assertIn("""source.spm"""		,				lowerCAmelCase_							)
        MarianTokenizer.from_pretrained(lowerCAmelCase_							)



 def      UpperCAmelCase							(					self							)  ->					str:
        _A        =  self.get_tokenizer()

        _A        =  tok(
            ["""I am a small frog""" * 10_00, """I am a small frog"""]		,				padding=lowerCAmelCase_		,				truncation=lowerCAmelCase_		,				return_tensors=lowerCAmelCase_							)
        self.assertIsInstance(lowerCAmelCase_		,				lowerCAmelCase_							)
        self.assertEqual(batch.input_ids.shape		,				(2, 5_12)							)



 def      UpperCAmelCase							(					self							)  ->					Union[str, Any]:
        _A        =  self.get_tokenizer()
        _A        =  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      UpperCAmelCase							(					self							)  ->					Tuple:
        # fmt: off
        _A        =  {"""input_ids""": [[4_34_95, 4_62, 20, 4_21_64, 13_69, 52, 4_64, 1_32, 17_03, 4_92, 13, 74_91, 3_89_99, 6, 8, 4_64, 1_32, 17_03, 4_92, 13, 46_69, 3_78_67, 13, 75_25, 27, 15_93, 9_88, 13, 3_39_72, 70_29, 6, 20, 82_51, 3_83, 2, 2_70, 58_66, 37_88, 2, 23_53, 82_51, 1_23_38, 2, 1_39_58, 3_87, 2, 36_29, 69_53, 1_88, 29_00, 2, 1_39_58, 80_11, 1_15_01, 23, 84_60, 40_73, 3_40_09, 20, 4_35, 1_14_39, 27, 8, 84_60, 40_73, 60_04, 20, 99_88, 3_75, 27, 33, 2_66, 19_45, 10_76, 13_50, 3_78_67, 32_88, 5, 5_77, 10_76, 43_74, 8, 50_82, 5, 2_64_53, 2_57, 5_56, 4_03, 2, 2_42, 1_32, 3_83, 3_16, 4_92, 8, 1_07_67, 6, 3_16, 3_04, 42_39, 3, 0], [1_48, 1_57_22, 19, 18_39, 12, 13_50, 13, 2_23_27, 50_82, 54_18, 4_75_67, 3_59_38, 59, 3_18, 1_95_52, 1_08, 21_83, 54, 1_49_76, 48_35, 32, 5_47, 11_14, 8, 3_15, 24_17, 5, 92, 1_90_88, 3, 0, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00], [36, 63_95, 1_25_70, 3_91_47, 1_15_97, 6, 2_66, 4, 4_54_05, 72_96, 3, 0, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00]], """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      UpperCAmelCase							(					self							)  ->					int:
        _A        =  MarianTokenizer.from_pretrained("""hf-internal-testing/test-marian-two-vocabs"""							)

        _A        =  """Tämä on testi"""
        _A        =  """This is a test"""

        _A        =  [76, 7, 20_47, 2]
        _A        =  [69, 12, 11, 9_40, 2]

        _A        =  tokenizer(lowerCAmelCase_							).input_ids
        self.assertListEqual(lowerCAmelCase_		,				lowerCAmelCase_							)

        _A        =  tokenizer(text_target=lowerCAmelCase_							).input_ids
        self.assertListEqual(lowerCAmelCase_		,				lowerCAmelCase_							)

        _A        =  tokenizer.decode(lowerCAmelCase_		,				skip_special_tokens=lowerCAmelCase_							)
        self.assertEqual(lowerCAmelCase_		,				lowerCAmelCase_							)





import random
from typing import Any






def  snake_case  (       snake_case__			:list)						->   list[Any]:
       for _ in range(len(snake_case__)):
              _A        =  random.randint(0   ,	len(snake_case__) - 1)
              _A        =  random.randint(0   ,	len(snake_case__) - 1)
              _A   ,  _A        =  data[b], data[a]
       return data


if __name__ == "__main__":
    _SCREAMING_SNAKE_CASE										=						[0, 1, 2, 3, 4, 5, 6, 7]
    _SCREAMING_SNAKE_CASE										=						['python', 'says', 'hello', '!']
    print('Fisher-Yates Shuffle:')
    print('List', integers, strings)
    print('FY Shuffle', fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))




