

"""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


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

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

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




@require_sentencepiece
class 					_lowerCAmelCase  (	lowercase     ,unittest.TestCase   ):







 """simple docstring"""







 __UpperCAmelCase	:					str   		=	MarianTokenizer
 __UpperCAmelCase	:					Any   		=	False
 __UpperCAmelCase	:					int   		=	True


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

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


 def 					_lowercase (			self							:			List[Any],					**UpperCAmelCase__							:			int	):
    return MarianTokenizer.from_pretrained(self.tmpdirname,					**UpperCAmelCase__	)


 def 					_lowercase (			self							:			List[Any],					UpperCAmelCase__							:			Union[str, Any]	):
    return (
        "This is a test",
        "This is a test",
    )


 def 					_lowercase (			self							:			List[Any]	):
    __lowercase								=						"</s>"
    __lowercase								=						0

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


 def 					_lowercase (			self							:			List[str]	):
    __lowercase								=						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(UpperCAmelCase__	),					9	)


 def 					_lowercase (			self							:			str	):
    self.assertEqual(self.get_tokenizer().vocab_size,					9	)


 def 					_lowercase (			self							:			List[str]	):
    __lowercase								=						MarianTokenizer.from_pretrained(F"""{ORG_NAME}opus-mt-en-de"""	)
    __lowercase								=						en_de_tokenizer(["I am a small frog"],					return_tensors=UpperCAmelCase__	)
    self.assertIsInstance(UpperCAmelCase__,					UpperCAmelCase__	)
    __lowercase								=						[3_8, 1_2_1, 1_4, 6_9_7, 3_8_8_4_8, 0]
    self.assertListEqual(UpperCAmelCase__,					batch.input_ids[0]	)

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


 def 					_lowercase (			self							:			List[Any]	):
    __lowercase								=						self.get_tokenizer()

    __lowercase								=						tok(
        ["I am a small frog" * 1_0_0_0, "I am a small frog"],					padding=UpperCAmelCase__,					truncation=UpperCAmelCase__,					return_tensors=UpperCAmelCase__	)
    self.assertIsInstance(UpperCAmelCase__,					UpperCAmelCase__	)
    self.assertEqual(batch.input_ids.shape,					(2, 5_1_2)	)


 def 					_lowercase (			self							:			Union[str, Any]	):
    __lowercase								=						self.get_tokenizer()
    __lowercase								=						tok(["I am a tiny frog", "I am a small frog"],					padding=UpperCAmelCase__,					return_tensors=UpperCAmelCase__	)
    self.assertIsInstance(UpperCAmelCase__,					UpperCAmelCase__	)
    self.assertEqual(batch_smaller.input_ids.shape,					(2, 1_0)	)


 @slow
 def 					_lowercase (			self							:			List[str]	):
    # fmt: off
    __lowercase								=						{"input_ids": [[4_3_4_9_5, 4_6_2, 2_0, 4_2_1_6_4, 1_3_6_9, 5_2, 4_6_4, 1_3_2, 1_7_0_3, 4_9_2, 1_3, 7_4_9_1, 3_8_9_9_9, 6, 8, 4_6_4, 1_3_2, 1_7_0_3, 4_9_2, 1_3, 4_6_6_9, 3_7_8_6_7, 1_3, 7_5_2_5, 2_7, 1_5_9_3, 9_8_8, 1_3, 3_3_9_7_2, 7_0_2_9, 6, 2_0, 8_2_5_1, 3_8_3, 2, 2_7_0, 5_8_6_6, 3_7_8_8, 2, 2_3_5_3, 8_2_5_1, 1_2_3_3_8, 2, 1_3_9_5_8, 3_8_7, 2, 3_6_2_9, 6_9_5_3, 1_8_8, 2_9_0_0, 2, 1_3_9_5_8, 8_0_1_1, 1_1_5_0_1, 2_3, 8_4_6_0, 4_0_7_3, 3_4_0_0_9, 2_0, 4_3_5, 1_1_4_3_9, 2_7, 8, 8_4_6_0, 4_0_7_3, 6_0_0_4, 2_0, 9_9_8_8, 3_7_5, 2_7, 3_3, 2_6_6, 1_9_4_5, 1_0_7_6, 1_3_5_0, 3_7_8_6_7, 3_2_8_8, 5, 5_7_7, 1_0_7_6, 4_3_7_4, 8, 5_0_8_2, 5, 2_6_4_5_3, 2_5_7, 5_5_6, 4_0_3, 2, 2_4_2, 1_3_2, 3_8_3, 3_1_6, 4_9_2, 8, 1_0_7_6_7, 6, 3_1_6, 3_0_4, 4_2_3_9, 3, 0], [1_4_8, 1_5_7_2_2, 1_9, 1_8_3_9, 1_2, 1_3_5_0, 1_3, 2_2_3_2_7, 5_0_8_2, 5_4_1_8, 4_7_5_6_7, 3_5_9_3_8, 5_9, 3_1_8, 1_9_5_5_2, 1_0_8, 2_1_8_3, 5_4, 1_4_9_7_6, 4_8_3_5, 3_2, 5_4_7, 1_1_1_4, 8, 3_1_5, 2_4_1_7, 5, 9_2, 1_9_0_8_8, 3, 0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0], [3_6, 6_3_9_5, 1_2_5_7_0, 3_9_1_4_7, 1_1_5_9_7, 6, 2_6_6, 4, 4_5_4_0_5, 7_2_9_6, 3, 0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0]], "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=UpperCAmelCase__,					model_name="Helsinki-NLP/opus-mt-en-de",					revision="1a8c2263da11e68e50938f97e10cd57820bd504c",					decode_kwargs={"use_source_tokenizer": True},					)



 def 					_lowercase (			self							:			List[str]	):
    __lowercase								=						MarianTokenizer.from_pretrained("hf-internal-testing/test-marian-two-vocabs"	)

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

    __lowercase								=						[7_6, 7, 2_0_4_7, 2]
    __lowercase								=						[6_9, 1_2, 1_1, 9_4_0, 2]

    __lowercase								=						tokenizer(UpperCAmelCase__	).input_ids
    self.assertListEqual(UpperCAmelCase__,					UpperCAmelCase__	)

    __lowercase								=						tokenizer(text_target=UpperCAmelCase__	).input_ids
    self.assertListEqual(UpperCAmelCase__,					UpperCAmelCase__	)

    __lowercase								=						tokenizer.decode(UpperCAmelCase__,					skip_special_tokens=UpperCAmelCase__	)
    self.assertEqual(UpperCAmelCase__,					UpperCAmelCase__	)







"""simple docstring"""





from collections.abc import Sequence




def   _A  (  UpperCamelCase_     :       Sequence[float],			UpperCamelCase_     :       float)	->						float:
   '''simple docstring'''


   return sum(c * (x**i) for i, c in enumerate(UpperCamelCase_))




def   _A  (  UpperCamelCase_     :       Sequence[float],			UpperCamelCase_     :       float)	->						float:
   '''simple docstring'''


   __lowercase								=						0.0
   for coeff in reversed(UpperCamelCase_):
      __lowercase								=						result * x + coeff
   return result


if __name__ == "__main__":
   _a       =							(0.0, 0.0, 5.0, 9.3, 7.0)
   _a       =							10.0
   print(evaluate_poly(poly, x))
   print(horner(poly, x))




