
'''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


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 							UpperCAmelCase_							(    A					,				unittest.TestCase				):

 '''simple docstring'''
 lowercase_					:    List[str]				=							MarianTokenizer
 lowercase_					:    List[Any]				=							False
 lowercase_					:    Union[str, Any]				=							True







 def 							UpperCamelCase  (					self		:  Tuple ):



   '''simple docstring'''




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

   UpperCAmelCase__      :					str				       =							MarianTokenizer.from_pretrained(self.tmpdirname )
   tokenizer.save_pretrained(self.tmpdirname )







 def 							UpperCamelCase  (					self		:  Optional[int]			,				**snake_case__		:  int ):



   '''simple docstring'''




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







 def 							UpperCamelCase  (					self		:  Optional[Any]			,				snake_case__		:  int ):



   '''simple docstring'''




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







 def 							UpperCamelCase  (					self		:  Dict ):



   '''simple docstring'''




   UpperCAmelCase__      :					Tuple				       =							"</s>"
   UpperCAmelCase__      :					Tuple				       =							0

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







 def 							UpperCamelCase  (					self		:  Optional[Any] ):



   '''simple docstring'''




   UpperCAmelCase__      :					Optional[Any]				       =							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(snake_case__ )			,				9 )







 def 							UpperCamelCase  (					self		:  str ):



   '''simple docstring'''




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







 def 							UpperCamelCase  (					self		:  List[Any] ):



   '''simple docstring'''




   UpperCAmelCase__      :					int				       =							MarianTokenizer.from_pretrained(F"""{ORG_NAME}opus-mt-en-de""" )
   UpperCAmelCase__      :					List[Any]				       =							en_de_tokenizer(["I am a small frog"]			,				return_tensors=snake_case__ )
   self.assertIsInstance(snake_case__			,				snake_case__ )
   UpperCAmelCase__      :					List[Any]				       =							[38, 1_21, 14, 6_97, 3_88_48, 0]
   self.assertListEqual(snake_case__			,				batch.input_ids[0] )

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







 def 							UpperCamelCase  (					self		:  Optional[Any] ):



   '''simple docstring'''




   UpperCAmelCase__      :					Any				       =							self.get_tokenizer()

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







 def 							UpperCamelCase  (					self		:  Dict ):



   '''simple docstring'''




   UpperCAmelCase__      :					List[str]				       =							self.get_tokenizer()
   UpperCAmelCase__      :					List[Any]				       =							tok(["I am a tiny frog", "I am a small frog"]			,				padding=snake_case__			,				return_tensors=snake_case__ )
   self.assertIsInstance(snake_case__			,				snake_case__ )
   self.assertEqual(batch_smaller.input_ids.shape			,				(2, 10) )







 @slow
 def 							UpperCamelCase  (					self		:  int ):



   '''simple docstring'''




   UpperCAmelCase__      :					int				       =							{"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=snake_case__			,				model_name="Helsinki-NLP/opus-mt-en-de"			,				revision="1a8c2263da11e68e50938f97e10cd57820bd504c"			,				decode_kwargs={"use_source_tokenizer": True}			,				)







 def 							UpperCamelCase  (					self		:  Union[str, Any] ):



   '''simple docstring'''




   UpperCAmelCase__      :					Optional[int]				       =							MarianTokenizer.from_pretrained("hf-internal-testing/test-marian-two-vocabs" )

   UpperCAmelCase__      :					Dict				       =							"Tämä on testi"
   UpperCAmelCase__      :					str				       =							"This is a test"

   UpperCAmelCase__      :					List[str]				       =							[76, 7, 20_47, 2]
   UpperCAmelCase__      :					Dict				       =							[69, 12, 11, 9_40, 2]

   UpperCAmelCase__      :					Dict				       =							tokenizer(snake_case__ ).input_ids
   self.assertListEqual(snake_case__			,				snake_case__ )

   UpperCAmelCase__      :					str				       =							tokenizer(text_target=snake_case__ ).input_ids
   self.assertListEqual(snake_case__			,				snake_case__ )

   UpperCAmelCase__      :					int				       =							tokenizer.decode(snake_case__			,				skip_special_tokens=snake_case__ )
   self.assertEqual(snake_case__			,				snake_case__ )





'''simple docstring'''





def snake_case_     (					lowercase__ = "The quick brown fox jumps over the lazy dog"   ,       ):
  UpperCAmelCase__      :					Dict				       =							set()

  # Replace all the whitespace in our sentence
  UpperCAmelCase__      :					str				       =							input_str.replace(" "   ,       ""		)
  for alpha in input_str:
    if "a" <= alpha.lower() <= "z":
      frequency.add(alpha.lower()		)
  return len(lowercase__		) == 2_6







def snake_case_     (					lowercase__ = "The quick brown fox jumps over the lazy dog"   ,       ):
  UpperCAmelCase__      :					str				       =							[False] * 2_6
  for char in input_str:
    if char.islower():
      UpperCAmelCase__      :					List[Any]				       =							True
    elif char.isupper():
      UpperCAmelCase__      :					List[Any]				       =							True
  return all(lowercase__		)







def snake_case_     (					lowercase__ = "The quick brown fox jumps over the lazy dog"   ,       ):
  return len({char for char in input_str.lower() if char.isalpha()}		) == 2_6







def snake_case_     (					):
  from timeit import timeit

  UpperCAmelCase__      :					Union[str, Any]				       =							"from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"
  print(timeit("is_pangram()"   ,       setup=lowercase__		)		)
  print(timeit("is_pangram_faster()"   ,       setup=lowercase__		)		)
  print(timeit("is_pangram_fastest()"   ,       setup=lowercase__		)		)
  # 5.348480500048026, 2.6477354579837993, 1.8470395830227062
  # 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      benchmark()



