


"""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	:  List[Any]            =     get_tests_dir("fixtures/test_sentencepiece.model")

A	:  Optional[Any]            =     {"target_lang": "fi", "source_lang": "en"}
A	:  Union[str, Any]            =     ">>zh<<"
A	:  str            =     "Helsinki-NLP/"

if is_torch_available():
	A	:  List[Any]            =     "pt"
elif is_tf_available():
	A	:  List[str]            =     "tf"
else:
	A	:  str            =     "jax"
@require_sentencepiece
class     _UpperCamelCase    (  lowerCAmelCase__			,unittest.TestCase						):
							'''simple docstring'''







							__UpperCAmelCase		:       List[str]							 =MarianTokenizer
							__UpperCAmelCase		:       Union[str, Any]							 =False
							__UpperCAmelCase		:       int							 =True

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

							def      snake_case							(	self       ,  **__a      ):
										return MarianTokenizer.from_pretrained(self.tmpdirname       ,  **__a      )

							def      snake_case							(	self       ,  __a      ):
										return (
										    "This is a test",
										    "This is a test",
										)

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     "</s>"
										__lowerCAmelCase							       =     0

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

							def      snake_case							(	self      ):
										__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(__a      )       ,  9      )

							def      snake_case							(	self      ):
										self.assertEqual(self.get_tokenizer().vocab_size       ,  9      )

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     MarianTokenizer.from_pretrained(f"{ORG_NAME}opus-mt-en-de"      )
										__lowerCAmelCase							       =     en_de_tokenizer(["I am a small frog"]       ,  return_tensors=__a      )
										self.assertIsInstance(__a       ,  __a      )
										__lowerCAmelCase							       =     [38, 1_21, 14, 6_97, 3_88_48, 0]
										self.assertListEqual(__a       ,  batch.input_ids[0]      )

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

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     self.get_tokenizer()

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

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     self.get_tokenizer()
										__lowerCAmelCase							       =     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, 10)      )

							@slow
							def      snake_case							(	self      ):
										# fmt: off
										__lowerCAmelCase							       =     {"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=__a       ,  model_name="Helsinki-NLP/opus-mt-en-de"       ,  revision="1a8c2263da11e68e50938f97e10cd57820bd504c"       ,  decode_kwargs={"use_source_tokenizer": True}       ,  )



							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     MarianTokenizer.from_pretrained("hf-internal-testing/test-marian-two-vocabs"      )

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

										__lowerCAmelCase							       =     [76, 7, 20_47, 2]
										__lowerCAmelCase							       =     [69, 12, 11, 9_40, 2]

										__lowerCAmelCase							       =     tokenizer(__a      ).input_ids
										self.assertListEqual(__a       ,  __a      )

										__lowerCAmelCase							       =     tokenizer(text_target=__a      ).input_ids
										self.assertListEqual(__a       ,  __a      )

										__lowerCAmelCase							       =     tokenizer.decode(__a       ,  skip_special_tokens=__a      )
										self.assertEqual(__a       ,  __a      )








"""simple docstring"""


import heapq as hq
import math
from collections.abc import Iterator
class     _UpperCamelCase    :
							'''simple docstring'''







							def __init__(	self       ,  __a      ):
										__lowerCAmelCase							       =     str(id_      )
										__lowerCAmelCase							       =     None
										__lowerCAmelCase							       =     None
										__lowerCAmelCase							       =     []
										__lowerCAmelCase							       =     {}  # {vertex:distance}

							def __lt__(	self       ,  __a      ):
										return self.key < other.key

							def __repr__(	self      ):
										return self.id

							def      snake_case							(	self       ,  __a      ):
										self.neighbors.append(__a      )



							def      snake_case							(	self       ,  __a       ,  __a      ):
										__lowerCAmelCase							       =     weight


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase ):

			'''simple docstring'''




			graph[a - 1].add_neighbor(graph[b - 1] )
			graph[b - 1].add_neighbor(graph[a - 1] )
			# add the edges:
			graph[a - 1].add_edge(graph[b - 1]       ,					_UpperCamelCase )
			graph[b - 1].add_edge(graph[a - 1]       ,					_UpperCamelCase )


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase ):

			'''simple docstring'''




			__lowerCAmelCase							       =     []
			for u in graph:
						__lowerCAmelCase							       =     math.inf
						__lowerCAmelCase							       =     None
			__lowerCAmelCase							       =     0
			__lowerCAmelCase							       =     graph[:]
			while q:
						__lowerCAmelCase							       =     min(_UpperCamelCase )
						q.remove(_UpperCamelCase )
						for v in u.neighbors:
									if (v in q) and (u.edges[v.id] < v.key):
												__lowerCAmelCase							       =     u
												__lowerCAmelCase							       =     u.edges[v.id]
			for i in range(1       ,					len(_UpperCamelCase ) ):
						a.append((int(graph[i].id ) + 1, int(graph[i].pi.id ) + 1) )
			return a


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase ):

			'''simple docstring'''




			for u in graph:
						__lowerCAmelCase							       =     math.inf
						__lowerCAmelCase							       =     None
			__lowerCAmelCase							       =     0

			__lowerCAmelCase							       =     list(_UpperCamelCase )
			hq.heapify(_UpperCamelCase )

			while h:
						__lowerCAmelCase							       =     hq.heappop(_UpperCamelCase )
						for v in u.neighbors:
									if (v in h) and (u.edges[v.id] < v.key):
												__lowerCAmelCase							       =     u
												__lowerCAmelCase							       =     u.edges[v.id]
												hq.heapify(_UpperCamelCase )

			for i in range(1       ,					len(_UpperCamelCase ) ):
						yield (int(graph[i].id ) + 1, int(graph[i].pi.id ) + 1)


def _lowerCamelCase      (						):

			'''simple docstring'''






if __name__ == "__main__":
	import doctest

	doctest.testmod()




