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			:							List[Any]     =get_tests_dir("fixtures/test_sentencepiece.model")

lowerCAmelCase			:							Any     ={"target_lang": "fi", "source_lang": "en"}
lowerCAmelCase			:							Optional[Any]     =">>zh<<"
lowerCAmelCase			:							Union[str, Any]     ="Helsinki-NLP/"

if is_torch_available():
  lowerCAmelCase			:							Optional[int]     ="pt"
elif is_tf_available():
  lowerCAmelCase			:							Optional[int]     ="tf"
else:
  lowerCAmelCase			:							Union[str, Any]     ="jax"




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





      '''simple docstring'''






      _snake_case    		=       MarianTokenizer
      _snake_case    		=       False
      _snake_case    		=       True



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


          """simple docstring"""


          super().setUp()
          _lowerCamelCase     :		Any 						=						["""</s>""", """<unk>""", """▁This""", """▁is""", """▁a""", """▁t""", """est""", """\u0120""", """<pad>"""]
          _lowerCamelCase     :		Union[str, Any] 						=						dict(zip(_lowercase    ,  range(len(_lowercase))))
          _lowerCamelCase     :		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"""])

          _lowerCamelCase     :		Any 						=						MarianTokenizer.from_pretrained(self.tmpdirname)
          tokenizer.save_pretrained(self.tmpdirname)



      def 	_SCREAMING_SNAKE_CASE    (					self     :				List[Any]    ,  **_UpperCamelCase     :				List[str])				->Union[str, Any]:


          """simple docstring"""


          return MarianTokenizer.from_pretrained(self.tmpdirname    ,  **_lowercase)



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Dict    ,  _UpperCamelCase     :				List[Any])				->str:


          """simple docstring"""


          return (
              "This is a test",
              "This is a test",
          )



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Optional[Any])				->List[str]:


          """simple docstring"""


          _lowerCamelCase     :		Dict 						=						"""</s>"""
          _lowerCamelCase     :		List[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 	_SCREAMING_SNAKE_CASE    (					self     :				Any)				->Optional[Any]:


          """simple docstring"""


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


          """simple docstring"""


          self.assertEqual(self.get_tokenizer().vocab_size    ,  9)



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Tuple)				->Tuple:


          """simple docstring"""


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

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



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Union[str, Any])				->Union[str, Any]:


          """simple docstring"""


          _lowerCamelCase     :		List[Any] 						=						self.get_tokenizer()

          _lowerCamelCase     :		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 	_SCREAMING_SNAKE_CASE    (					self     :				Optional[int])				->str:


          """simple docstring"""


          _lowerCamelCase     :		List[str] 						=						self.get_tokenizer()
          _lowerCamelCase     :		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 	_SCREAMING_SNAKE_CASE    (					self     :				Optional[Any])				->Tuple:


          """simple docstring"""


          _lowerCamelCase     :		int 						=						{"""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 	_SCREAMING_SNAKE_CASE    (					self     :				Any)				->Dict:


          """simple docstring"""


          _lowerCamelCase     :		Dict 						=						MarianTokenizer.from_pretrained("""hf-internal-testing/test-marian-two-vocabs""")

          _lowerCamelCase     :		Optional[int] 						=						"""Tämä on testi"""
          _lowerCamelCase     :		Tuple 						=						"""This is a test"""

          _lowerCamelCase     :		List[Any] 						=						[76, 7, 2047, 2]
          _lowerCamelCase     :		List[Any] 						=						[69, 12, 11, 940, 2]

          _lowerCamelCase     :		Union[str, Any] 						=						tokenizer(_lowercase).input_ids
          self.assertListEqual(_lowercase    ,  _lowercase)

          _lowerCamelCase     :		Optional[int] 						=						tokenizer(text_target=_lowercase).input_ids
          self.assertListEqual(_lowercase    ,  _lowercase)

          _lowerCamelCase     :		Tuple 						=						tokenizer.decode(_lowercase    ,  skip_special_tokens=_lowercase)
          self.assertEqual(_lowercase    ,  _lowercase)





import unittest

from transformers.utils.backbone_utils import (
    BackboneMixin,
    get_aligned_output_features_output_indices,
    verify_out_features_out_indices,
)




class 	__snake_case	( unittest.TestCase		):





      '''simple docstring'''






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


          """simple docstring"""


          _lowerCamelCase     :		Tuple 						=						["""a""", """b""", """c"""]

          # Defaults to last layer if both are None
          _lowerCamelCase						,							_lowerCamelCase     :		int 						=						get_aligned_output_features_output_indices(_UpperCamelCase    ,  _UpperCamelCase    ,  _UpperCamelCase)
          self.assertEqual(_UpperCamelCase    ,  ["""c"""])
          self.assertEqual(_UpperCamelCase    ,  [2])

          # Out indices set to match out features
          _lowerCamelCase						,							_lowerCamelCase     :		int 						=						get_aligned_output_features_output_indices(["""a""", """c"""]    ,  _UpperCamelCase    ,  _UpperCamelCase)
          self.assertEqual(_UpperCamelCase    ,  ["""a""", """c"""])
          self.assertEqual(_UpperCamelCase    ,  [0, 2])

          # Out features set to match out indices
          _lowerCamelCase						,							_lowerCamelCase     :		Tuple 						=						get_aligned_output_features_output_indices(_UpperCamelCase    ,  [0, 2]    ,  _UpperCamelCase)
          self.assertEqual(_UpperCamelCase    ,  ["""a""", """c"""])
          self.assertEqual(_UpperCamelCase    ,  [0, 2])

          # Out features selected from negative indices
          _lowerCamelCase						,							_lowerCamelCase     :		str 						=						get_aligned_output_features_output_indices(_UpperCamelCase    ,  [-3, -1]    ,  _UpperCamelCase)
          self.assertEqual(_UpperCamelCase    ,  ["""a""", """c"""])
          self.assertEqual(_UpperCamelCase    ,  [-3, -1])



      def 	_SCREAMING_SNAKE_CASE    (					self     :				int)				->int:


          """simple docstring"""


          with self.assertRaises(_UpperCamelCase):
              verify_out_features_out_indices(["""a""", """b"""]    ,  (0, 1)    ,  _UpperCamelCase)

          # Out features must be a list
          with self.assertRaises(_UpperCamelCase):
              verify_out_features_out_indices(("""a""", """b""")    ,  (0, 1)    ,  ["""a""", """b"""])

          # Out features must be a subset of stage names
          with self.assertRaises(_UpperCamelCase):
              verify_out_features_out_indices(["""a""", """b"""]    ,  (0, 1)    ,  ["""a"""])

          # Out indices must be a list or tuple
          with self.assertRaises(_UpperCamelCase):
              verify_out_features_out_indices(_UpperCamelCase    ,  0    ,  ["""a""", """b"""])

          # Out indices must be a subset of stage names
          with self.assertRaises(_UpperCamelCase):
              verify_out_features_out_indices(_UpperCamelCase    ,  (0, 1)    ,  ["""a"""])

          # Out features and out indices must be the same length
          with self.assertRaises(_UpperCamelCase):
              verify_out_features_out_indices(["""a""", """b"""]    ,  (0,)    ,  ["""a""", """b""", """c"""])

          # Out features should match out indices
          with self.assertRaises(_UpperCamelCase):
              verify_out_features_out_indices(["""a""", """b"""]    ,  (0, 2)    ,  ["""a""", """b""", """c"""])

          # Out features and out indices should be in order
          with self.assertRaises(_UpperCamelCase):
              verify_out_features_out_indices(["""b""", """a"""]    ,  (0, 1)    ,  ["""a""", """b"""])

          # Check passes with valid inputs
          verify_out_features_out_indices(["""a""", """b""", """d"""]    ,  (0, 1, -1)    ,  ["""a""", """b""", """c""", """d"""])




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


          """simple docstring"""


          _lowerCamelCase     :		int 						=						BackboneMixin()

          _lowerCamelCase     :		Union[str, Any] 						=						["""a""", """b""", """c"""]
          _lowerCamelCase     :		Tuple 						=						["""a""", """c"""]
          _lowerCamelCase     :		List[Any] 						=						[0, 2]

          # Check that the output features and indices are set correctly
          self.assertEqual(backbone.out_features    ,  ["""a""", """c"""])
          self.assertEqual(backbone.out_indices    ,  [0, 2])

          # Check out features and indices are updated correctly
          _lowerCamelCase     :		str 						=						["""a""", """b"""]
          self.assertEqual(backbone.out_features    ,  ["""a""", """b"""])
          self.assertEqual(backbone.out_indices    ,  [0, 1])

          _lowerCamelCase     :		Optional[int] 						=						[-3, -1]
          self.assertEqual(backbone.out_features    ,  ["""a""", """c"""])
          self.assertEqual(backbone.out_indices    ,  [-3, -1])




