
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     _SCREAMING_SNAKE_CASE     (      snake_case_			,       unittest.TestCase						):
	lowerCAmelCase__         = MarianTokenizer
	lowerCAmelCase__         = False
	lowerCAmelCase__         = True



	def     SCREAMING_SNAKE_CASE_(    self )				->       Dict:
					super().setUp()
					lowerCamelCase_						=			["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
					lowerCamelCase_						=			dict(zip(lowercase						,  range(len(lowercase ) ) ) )
					lowerCamelCase_						=			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_						=			MarianTokenizer.from_pretrained(self.tmpdirname )
					tokenizer.save_pretrained(self.tmpdirname )



	def     SCREAMING_SNAKE_CASE_(    self						,  **lowercase )				->       MarianTokenizer:
					return MarianTokenizer.from_pretrained(self.tmpdirname						,  **lowercase )



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase )				->       List[str]:
					return (
					    "This is a test",
					    "This is a test",
					)



	def     SCREAMING_SNAKE_CASE_(    self )				->       Tuple:
					lowerCamelCase_						=			"</s>"
					lowerCamelCase_						=			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 )				->       Dict:
					lowerCamelCase_						=			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 )				->       int:
					self.assertEqual(self.get_tokenizer().vocab_size						,  9 )



	def     SCREAMING_SNAKE_CASE_(    self )				->       List[str]:
					lowerCamelCase_						=			MarianTokenizer.from_pretrained(f'{ORG_NAME}opus-mt-en-de' )
					lowerCamelCase_						=			en_de_tokenizer(["I am a small frog"]						,  return_tensors=lowercase )
					self.assertIsInstance(lowercase						,  lowercase )
					lowerCamelCase_						=			[38, 121, 14, 697, 38848, 0]
					self.assertListEqual(lowercase						,  batch.input_ids[0] )

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



	def     SCREAMING_SNAKE_CASE_(    self )				->       List[str]:
					lowerCamelCase_						=			self.get_tokenizer()

					lowerCamelCase_						=			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]:
					lowerCamelCase_						=			self.get_tokenizer()
					lowerCamelCase_						=			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[int]:
					# fmt: off
					lowerCamelCase_						=			{"input_ids": [[43495, 462, 20, 42164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 38999, 6, 8, 464, 132, 1703, 492, 13, 4669, 37867, 13, 7525, 27, 1593, 988, 13, 33972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 12338, 2, 13958, 387, 2, 3629, 6953, 188, 2900, 2, 13958, 8011, 11501, 23, 8460, 4073, 34009, 20, 435, 11439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 37867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 26453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 10767, 6, 316, 304, 4239, 3, 0], [148, 15722, 19, 1839, 12, 1350, 13, 22327, 5082, 5418, 47567, 35938, 59, 318, 19552, 108, 2183, 54, 14976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 19088, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100], [36, 6395, 12570, 39147, 11597, 6, 266, 4, 45405, 7296, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100]], "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 )				->       Optional[int]:
					lowerCamelCase_						=			MarianTokenizer.from_pretrained("hf-internal-testing/test-marian-two-vocabs" )

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

					lowerCamelCase_						=			[76, 7, 2047, 2]
					lowerCamelCase_						=			[69, 12, 11, 940, 2]

					lowerCamelCase_						=			tokenizer(lowercase ).input_ids
					self.assertListEqual(lowercase						,  lowercase )

					lowerCamelCase_						=			tokenizer(text_target=lowercase ).input_ids
					self.assertListEqual(lowercase						,  lowercase )

					lowerCamelCase_						=			tokenizer.decode(lowercase						,  skip_special_tokens=lowercase )
					self.assertEqual(lowercase						,  lowercase )




import math





def 			lowerCamelCase_ (				lowerCamelCase__	, lowerCamelCase__ = 0	, lowerCamelCase__ = 0    ):
				lowerCamelCase_						=			end or len(lowerCamelCase__    )
				for i in range(lowerCamelCase__	, lowerCamelCase__    ):
								lowerCamelCase_						=			i
								lowerCamelCase_						=			array[i]
								while temp_index != start and temp_index_value < array[temp_index - 1]:
												lowerCamelCase_						=			array[temp_index - 1]
												temp_index -= 1
								lowerCamelCase_						=			temp_index_value
				return array





def 			lowerCamelCase_ (				lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    ):  # Max Heap
				lowerCamelCase_						=			index
				lowerCamelCase_						=			2 * index + 1  # Left Node
				lowerCamelCase_						=			2 * index + 2  # Right Node

				if left_index < heap_size and array[largest] < array[left_index]:
								lowerCamelCase_						=			left_index

				if right_index < heap_size and array[largest] < array[right_index]:
								lowerCamelCase_						=			right_index

				if largest != index:
								lowerCamelCase_	,    lowerCamelCase_						=			array[largest], array[index]
								heapify(lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    )





def 			lowerCamelCase_ (				lowerCamelCase__    ):
				lowerCamelCase_						=			len(lowerCamelCase__    )

				for i in range(n // 2	, -1	, -1    ):
								heapify(lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    )

				for i in range(n - 1	, 0	, -1    ):
								lowerCamelCase_	,    lowerCamelCase_						=			array[0], array[i]
								heapify(lowerCamelCase__	, 0	, lowerCamelCase__    )

				return array





def 			lowerCamelCase_ (				lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    ):
				if (array[first_index] > array[middle_index]) != (
				    array[first_index] > array[last_index]
				):
								return array[first_index]
				elif (array[middle_index] > array[first_index]) != (
				    array[middle_index] > array[last_index]
				):
								return array[middle_index]
				else:
								return array[last_index]





def 			lowerCamelCase_ (				lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    ):
				lowerCamelCase_						=			low
				lowerCamelCase_						=			high
				while True:
								while array[i] < pivot:
												i += 1
								j -= 1
								while pivot < array[j]:
												j -= 1
								if i >= j:
												return i
								lowerCamelCase_	,    lowerCamelCase_						=			array[j], array[i]
								i += 1





def 			lowerCamelCase_ (				lowerCamelCase__    ):
				if len(lowerCamelCase__    ) == 0:
								return array
				lowerCamelCase_						=			2 * math.ceil(math.loga(len(lowerCamelCase__    )    )    )
				lowerCamelCase_						=			1_6
				return intro_sort(lowerCamelCase__	, 0	, len(lowerCamelCase__    )	, lowerCamelCase__	, lowerCamelCase__    )





def 			lowerCamelCase_ (				lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    ):
				while end - start > size_threshold:
								if max_depth == 0:
												return heap_sort(lowerCamelCase__    )
								max_depth -= 1
								lowerCamelCase_						=			median_of_a(lowerCamelCase__	, lowerCamelCase__	, start + ((end - start) // 2) + 1	, end - 1    )
								lowerCamelCase_						=			partition(lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    )
								intro_sort(lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    )
								lowerCamelCase_						=			p
				return insertion_sort(lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    )


if __name__ == "__main__":
			import doctest

			doctest.testmod()

			__A				=input('''Enter numbers separated by a comma : ''').strip()
			__A				=[float(item) for item in user_input.split(''',''')]
			print(sort(unsorted))


