


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      (     lowercase		,		unittest.TestCase							):
		lowerCamelCase_	:			List[Any]       			=  MarianTokenizer
		lowerCamelCase_	:			List[str]       			=  False
		lowerCamelCase_	:			Any       			=  True






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

				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						MarianTokenizer.from_pretrained(self.tmpdirname)
				tokenizer.save_pretrained(self.tmpdirname)






		def _snake_case		(						self				:     List[str]   ,  **UpperCAmelCase				:     Dict):
				return MarianTokenizer.from_pretrained(self.tmpdirname   ,  **UpperCAmelCase)






		def _snake_case		(						self				:     Optional[Any]   ,  UpperCAmelCase				:     str):
				return (
				    "This is a test",
				    "This is a test",
				)






		def _snake_case		(						self				:     Dict):
				SCREAMING_SNAKE_CASE_				:List[str]				     =						"</s>"
				SCREAMING_SNAKE_CASE_				:str				     =						0

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






		def _snake_case		(						self				:     List[Any]):
				SCREAMING_SNAKE_CASE_				: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(UpperCAmelCase)   ,  9)






		def _snake_case		(						self				:     Dict):
				self.assertEqual(self.get_tokenizer().vocab_size   ,  9)






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

				SCREAMING_SNAKE_CASE_				:Tuple				     =						tempfile.mkdtemp()
				en_de_tokenizer.save_pretrained(UpperCAmelCase)
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						[x.name for x in Path(UpperCAmelCase).glob("*")]
				self.assertIn("source.spm"   ,  UpperCAmelCase)
				MarianTokenizer.from_pretrained(UpperCAmelCase)






		def _snake_case		(						self				:     str):
				SCREAMING_SNAKE_CASE_				:List[str]				     =						self.get_tokenizer()

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






		def _snake_case		(						self				:     Any):
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						self.get_tokenizer()
				SCREAMING_SNAKE_CASE_				:List[str]				     =						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, 10))






		@slow
		def _snake_case		(						self				:     str):
				# fmt: off
				SCREAMING_SNAKE_CASE_				:Any				     =						{"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=UpperCAmelCase   ,  model_name="Helsinki-NLP/opus-mt-en-de"   ,  revision="1a8c2263da11e68e50938f97e10cd57820bd504c"   ,  decode_kwargs={"use_source_tokenizer": True}   ,  )







		def _snake_case		(						self				:     str):
				SCREAMING_SNAKE_CASE_				:Dict				     =						MarianTokenizer.from_pretrained("hf-internal-testing/test-marian-two-vocabs")

				SCREAMING_SNAKE_CASE_				:Tuple				     =						"Tämä on testi"
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						"This is a test"

				SCREAMING_SNAKE_CASE_				:Tuple				     =						[76, 7, 20_47, 2]
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						[69, 12, 11, 9_40, 2]

				SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						tokenizer(UpperCAmelCase).input_ids
				self.assertListEqual(UpperCAmelCase   ,  UpperCAmelCase)

				SCREAMING_SNAKE_CASE_				:List[str]				     =						tokenizer(text_target=UpperCAmelCase).input_ids
				self.assertListEqual(UpperCAmelCase   ,  UpperCAmelCase)

				SCREAMING_SNAKE_CASE_				:Any				     =						tokenizer.decode(UpperCAmelCase   ,  skip_special_tokens=UpperCAmelCase)
				self.assertEqual(UpperCAmelCase   ,  UpperCAmelCase)










def     lowercase	(    a = 50 ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:int				     =						[1] * (length + 1)

		for row_length in range(3     , length + 1 ):
				for block_length in range(3     , row_length + 1 ):
						for block_start in range(row_length - block_length ):
								ways_number[row_length] += ways_number[
								    row_length - block_start - block_length - 1
								]

						ways_number[row_length] += 1

		return ways_number[length]


if __name__ == "__main__":
		print(F'''{solution() = }''')






