



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__    :    int        =   get_tests_dir('''fixtures/test_sentencepiece.model''')

A__    :    Optional[Any]        =   {"target_lang": "fi", "source_lang": "en"}
A__    :    List[Any]        =   ">>zh<<"
A__    :    Optional[int]        =   "Helsinki-NLP/"

if is_torch_available():
						A__    :    str        =   "pt"
elif is_tf_available():
						A__    :    List[str]        =   "tf"
else:
						A__    :    Tuple        =   "jax"



@require_sentencepiece
class 							__snake_case		(	UpperCamelCase_		,unittest.TestCase		):
							_a      =					MarianTokenizer
							_a      =					False
							_a      =					True




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

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




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




							def   UpperCAmelCase__     (			self	:			Optional[int]							,							A_	:			Optional[int]):
									return (
									    "This is a test",
									    "This is a test",
									)




							def   UpperCAmelCase__     (			self	:			Dict):
									lowerCAmelCase_     :	str							   =					'''</s>'''
									lowerCAmelCase_     :	Any							   =					0

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




							def   UpperCAmelCase__     (			self	:			Dict):
									lowerCAmelCase_     :	str							   =					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(__a)							,							9)




							def   UpperCAmelCase__     (			self	:			int):
									self.assertEqual(self.get_tokenizer().vocab_size							,							9)




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

									lowerCAmelCase_     :	int							   =					tempfile.mkdtemp()
									en_de_tokenizer.save_pretrained(__a)
									lowerCAmelCase_     :	List[str]							   =					[x.name for x in Path(__a).glob('''*''')]
									self.assertIn('''source.spm'''							,							__a)
									MarianTokenizer.from_pretrained(__a)




							def   UpperCAmelCase__     (			self	:			Optional[Any]):
									lowerCAmelCase_     :	List[Any]							   =					self.get_tokenizer()

									lowerCAmelCase_     :	Optional[Any]							   =					tok(
									    ['''I am a small frog''' * 1_0_0_0, '''I am a small frog''']							,							padding=__a							,							truncation=__a							,							return_tensors=__a)
									self.assertIsInstance(__a							,							__a)
									self.assertEqual(batch.input_ids.shape							,							(2, 5_1_2))




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




							@slow
							def   UpperCAmelCase__     (			self	:			Optional[Any]):
									# fmt: off
									lowerCAmelCase_     :	List[str]							   =					{'''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=__a							,							model_name='''Helsinki-NLP/opus-mt-en-de'''							,							revision='''1a8c2263da11e68e50938f97e10cd57820bd504c'''							,							decode_kwargs={'''use_source_tokenizer''': True}							,							)







							def   UpperCAmelCase__     (			self	:			Optional[int]):
									lowerCAmelCase_     :	List[Any]							   =					MarianTokenizer.from_pretrained('''hf-internal-testing/test-marian-two-vocabs''')

									lowerCAmelCase_     :	str							   =					'''Tämä on testi'''
									lowerCAmelCase_     :	List[Any]							   =					'''This is a test'''

									lowerCAmelCase_     :	Optional[Any]							   =					[7_6, 7, 2_0_4_7, 2]
									lowerCAmelCase_     :	str							   =					[6_9, 1_2, 1_1, 9_4_0, 2]

									lowerCAmelCase_     :	List[Any]							   =					tokenizer(__a).input_ids
									self.assertListEqual(__a							,							__a)

									lowerCAmelCase_     :	Optional[Any]							   =					tokenizer(text_target=__a).input_ids
									self.assertListEqual(__a							,							__a)

									lowerCAmelCase_     :	Union[str, Any]							   =					tokenizer.decode(__a							,							skip_special_tokens=__a)
									self.assertEqual(__a							,							__a)






'''simple docstring'''


from collections.abc import Sequence





def    lowerCAmelCase       (		UpperCamelCase__					: Sequence[float]     ,       UpperCamelCase__					: bool = False							):


	"""simple docstring"""
	if not arr:
		return 0

	__UpperCAmelCase      					=      0 if allow_empty_subarrays else float('''-inf'''							)
	__UpperCAmelCase      					=      0.0
	for num in arr:
		__UpperCAmelCase      					=      max(0 if allow_empty_subarrays else num     ,       curr_sum + num							)
		__UpperCAmelCase      					=      max(UpperCamelCase__     ,       UpperCamelCase__							)

	return max_sum


if __name__ == "__main__":
					from doctest import testmod

					testmod()

					__lowerCAmelCase						:							int    							=						[-2, 1, -3, 4, -1, 2, 1, -5, 4]
					print(F"""{max_subarray_sum(nums) = }""")
