





'''simple docstring'''


import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartaaTokenizer, MBartaaTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase :					List[str] 							=get_tests_dir('''fixtures/test_sentencepiece.model''')

if is_torch_available():
 from transformers.models.mbart.modeling_mbart import shift_tokens_right

lowerCAmelCase :					Dict 							=250_004
lowerCAmelCase :					Optional[int] 							=250_020
@require_sentencepiece
@require_tokenizers
class 				a_       (    _lowerCAmelCase     ,						unittest.TestCase							):
     __A			=      MBartaaTokenizer
     __A			=      MBartaaTokenizerFast
     __A			=      True
     __A			=      True





     def 							lowercase__				(			self		: Dict						):





        """simple docstring"""




        super().setUp()

        # We have a SentencePiece fixture for testing
        lowercase_      :Union[str, Any]         =			MBartaaTokenizer(__a     ,				src_lang="en_XX"     ,				tgt_lang="ro_RO"     ,				keep_accents=__a						)
        tokenizer.save_pretrained(self.tmpdirname						)





     def 							lowercase__				(			self		: Optional[Any]						):





        """simple docstring"""




        lowercase_      :Optional[int]         =			"<s>"
        lowercase_      :List[str]         =			0

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





     def 							lowercase__				(			self		: Dict						):





        """simple docstring"""




        lowercase_      :int         =			list(self.get_tokenizer().get_vocab().keys()						)

        self.assertEqual(vocab_keys[0]     ,				"<s>"						)
        self.assertEqual(vocab_keys[1]     ,				"<pad>"						)
        self.assertEqual(vocab_keys[-1]     ,				"<mask>"						)
        self.assertEqual(len(__a						)     ,				1_054						)





     def 							lowercase__				(			self		: Union[str, Any]						):





        """simple docstring"""




        self.assertEqual(self.get_tokenizer().vocab_size     ,				1_054						)





     def 							lowercase__				(			self		: Tuple						):





        """simple docstring"""




        lowercase_      :Union[str, Any]         =			MBartaaTokenizer(__a     ,				src_lang="en_XX"     ,				tgt_lang="ro_RO"     ,				keep_accents=__a						)

        lowercase_      :Dict         =			tokenizer.tokenize("This is a test"						)
        self.assertListEqual(__a     ,				["▁This", "▁is", "▁a", "▁t", "est"]						)

        self.assertListEqual(
            tokenizer.convert_tokens_to_ids(__a						)     ,				[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]     ,				)

        lowercase_      :List[str]         =			tokenizer.tokenize("I was born in 92000, and this is falsé."						)
        self.assertListEqual(
            __a     ,				[SPIECE_UNDERLINE + "I", SPIECE_UNDERLINE + "was", SPIECE_UNDERLINE + "b", "or", "n", SPIECE_UNDERLINE + "in", SPIECE_UNDERLINE + "", "9", "2", "0", "0", "0", ",", SPIECE_UNDERLINE + "and", SPIECE_UNDERLINE + "this", SPIECE_UNDERLINE + "is", SPIECE_UNDERLINE + "f", "al", "s", "é", "."]     ,				)
        lowercase_      :List[str]         =			tokenizer.convert_tokens_to_ids(__a						)
        self.assertListEqual(
            __a     ,				[
                value + tokenizer.fairseq_offset
                for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
            ]     ,				)

        lowercase_      :Dict         =			tokenizer.convert_ids_to_tokens(__a						)
        self.assertListEqual(
            __a     ,				[SPIECE_UNDERLINE + "I", SPIECE_UNDERLINE + "was", SPIECE_UNDERLINE + "b", "or", "n", SPIECE_UNDERLINE + "in", SPIECE_UNDERLINE + "", "<unk>", "2", "0", "0", "0", ",", SPIECE_UNDERLINE + "and", SPIECE_UNDERLINE + "this", SPIECE_UNDERLINE + "is", SPIECE_UNDERLINE + "f", "al", "s", "<unk>", "."]     ,				)





     @slow
     def 							lowercase__				(			self		: Optional[int]						):





        """simple docstring"""




        lowercase_      :Dict         =			{"input_ids": [[250_004, 11_062, 82_772, 7, 15, 82_772, 538, 51_529, 237, 17_198, 1_290, 206, 9, 215_175, 1_314, 136, 17_198, 1_290, 206, 9, 56_359, 42, 122_009, 9, 16_466, 16, 87_344, 4_537, 9, 4_717, 78_381, 6, 159_958, 7, 15, 24_480, 618, 4, 527, 22_693, 5_428, 4, 2_777, 24_480, 9_874, 4, 43_523, 594, 4, 803, 18_392, 33_189, 18, 4, 43_523, 24_447, 12_399, 100, 24_955, 83_658, 9_626, 144_057, 15, 839, 22_335, 16, 136, 24_955, 83_658, 83_479, 15, 39_102, 724, 16, 678, 645, 2_789, 1_328, 4_589, 42, 122_009, 115_774, 23, 805, 1_328, 46_876, 7, 136, 53_894, 1_940, 42_227, 41_159, 17_721, 823, 425, 4, 27_512, 98_722, 206, 136, 5_531, 4_970, 919, 17_336, 5, 2], [250_004, 20_080, 618, 83, 82_775, 47, 479, 9, 1_517, 73, 53_894, 333, 80_581, 110_117, 18_811, 5_256, 1_295, 51, 152_526, 297, 7_986, 390, 124_416, 538, 35_431, 214, 98, 15_044, 25_737, 136, 7_108, 43_701, 23, 756, 135_355, 7, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [250_004, 581, 63_773, 119_455, 6, 147_797, 88_203, 7, 645, 70, 21, 3_285, 10_269, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], "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, 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], [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, 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="facebook/mbart-large-50"     ,				revision="d3913889c59cd5c9e456b269c376325eabad57e2"     ,				)







     def 							lowercase__				(			self		: Tuple						):





        """simple docstring"""




        if not self.test_slow_tokenizer:
           # as we don't have a slow version, we can't compare the outputs between slow and fast versions
           return

        lowercase_      :Optional[int]         =			(self.rust_tokenizer_class, "hf-internal-testing/tiny-random-mbart50", {})
        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'						):
              lowercase_      :Tuple         =			self.rust_tokenizer_class.from_pretrained(__a     ,				**__a						)
              lowercase_      :Dict         =			self.tokenizer_class.from_pretrained(__a     ,				**__a						)

              lowercase_      :List[Any]         =			tempfile.mkdtemp()

              lowercase_      :str         =			tokenizer_r.save_pretrained(__a						)
              lowercase_      :Any         =			tokenizer_p.save_pretrained(__a						)

              # Checks it save with the same files + the tokenizer.json file for the fast one
              self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files						)						)
              lowercase_      :Optional[int]         =			tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f						)
              self.assertSequenceEqual(__a     ,				__a						)

              # Checks everything loads correctly in the same way
              lowercase_      :Optional[int]         =			tokenizer_r.from_pretrained(__a						)
              lowercase_      :str         =			tokenizer_p.from_pretrained(__a						)

              # Check special tokens are set accordingly on Rust and Python
              for key in tokenizer_pp.special_tokens_map:
                 self.assertTrue(hasattr(__a     ,				__a						)						)
                 # self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
                 # self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

              shutil.rmtree(__a						)

              # Save tokenizer rust, legacy_format=True
              lowercase_      :Union[str, Any]         =			tempfile.mkdtemp()

              lowercase_      :Optional[Any]         =			tokenizer_r.save_pretrained(__a     ,				legacy_format=__a						)
              lowercase_      :Optional[int]         =			tokenizer_p.save_pretrained(__a						)

              # Checks it save with the same files
              self.assertSequenceEqual(__a     ,				__a						)

              # Checks everything loads correctly in the same way
              lowercase_      :Any         =			tokenizer_r.from_pretrained(__a						)
              lowercase_      :int         =			tokenizer_p.from_pretrained(__a						)

              # Check special tokens are set accordingly on Rust and Python
              for key in tokenizer_pp.special_tokens_map:
                 self.assertTrue(hasattr(__a     ,				__a						)						)

              shutil.rmtree(__a						)

              # Save tokenizer rust, legacy_format=False
              lowercase_      :Dict         =			tempfile.mkdtemp()

              lowercase_      :Any         =			tokenizer_r.save_pretrained(__a     ,				legacy_format=__a						)
              lowercase_      :Any         =			tokenizer_p.save_pretrained(__a						)

              # Checks it saved the tokenizer.json file
              self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files						)						)

              # Checks everything loads correctly in the same way
              lowercase_      :List[str]         =			tokenizer_r.from_pretrained(__a						)
              lowercase_      :List[str]         =			tokenizer_p.from_pretrained(__a						)

              # Check special tokens are set accordingly on Rust and Python
              for key in tokenizer_pp.special_tokens_map:
                 self.assertTrue(hasattr(__a     ,				__a						)						)

              shutil.rmtree(__a						)







@require_torch
@require_sentencepiece
@require_tokenizers
class 				a_       (    unittest.TestCase							):
     __A			=      "facebook/mbart-large-50-one-to-many-mmt"
     __A			=      [
         " UN Chief Says There Is No Military Solution in Syria",
         " Secretary-General Ban Ki-moon says his response to Russia\'s stepped up military support for Syria is that \"there is no military solution\" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.",
     ]
     __A			=      [
         "Şeful ONU declară că nu există o soluţie militară în Siria",
         "Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei"
         " pentru Siria este că \"nu există o soluţie militară\" la conflictul de aproape cinci ani şi că noi arme nu vor"
         " face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.",
     ]
     __A			=      [EN_CODE, 8_274, 127_873, 25_916, 7, 8_622, 2_071, 438, 67_485, 53, 187_895, 23, 51_712, 2]





     @classmethod
     def 							lowercase__				(			cls		: Tuple						):





        """simple docstring"""




        lowercase_      :int         =			MBartaaTokenizer.from_pretrained(
            cls.checkpoint_name     ,				src_lang="en_XX"     ,				tgt_lang="ro_RO"						)
        lowercase_      :Any         =			1
        return cls





     def 							lowercase__				(			self		: List[str]						):





        """simple docstring"""




        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"]     ,				250_001						)
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"]     ,				250_004						)
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"]     ,				250_020						)
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["mr_IN"]     ,				250_038						)





     def 							lowercase__				(			self		: str						):





        """simple docstring"""




        lowercase_      :Optional[Any]         =			self.tokenizer.batch_encode_plus(self.src_text						).input_ids[0]
        self.assertListEqual(self.expected_src_tokens     ,				__a						)





     def 							lowercase__				(			self		: List[str]						):





        """simple docstring"""




        self.assertIn(__a     ,				self.tokenizer.all_special_ids						)
        lowercase_      :Any         =			[RO_CODE, 884, 9_019, 96, 9, 916, 86_792, 36, 18_743, 15_596, 5, 2]
        lowercase_      :Any         =			self.tokenizer.decode(__a     ,				skip_special_tokens=__a						)
        lowercase_      :Optional[int]         =			self.tokenizer.decode(generated_ids[1:]     ,				skip_special_tokens=__a						)
        self.assertEqual(__a     ,				__a						)
        self.assertNotIn(self.tokenizer.eos_token     ,				__a						)





     def 							lowercase__				(			self		: List[str]						):





        """simple docstring"""




        lowercase_      :Union[str, Any]         =			["this is gunna be a long sentence " * 20]
        assert isinstance(src_text[0]     ,				__a						)
        lowercase_      :Optional[int]         =			10
        lowercase_      :Optional[Any]         =			self.tokenizer(__a     ,				max_length=__a     ,				truncation=__a						).input_ids[0]
        self.assertEqual(ids[0]     ,				__a						)
        self.assertEqual(ids[-1]     ,				2						)
        self.assertEqual(len(__a						)     ,				__a						)





     def 							lowercase__				(			self		: Any						):





        """simple docstring"""




        self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]						)     ,				[250_053, 250_001]						)





     def 							lowercase__				(			self		: Optional[Any]						):





        """simple docstring"""




        lowercase_      :Dict         =			tempfile.mkdtemp()
        lowercase_      :Dict         =			self.tokenizer.fairseq_tokens_to_ids
        self.tokenizer.save_pretrained(__a						)
        lowercase_      :Optional[Any]         =			MBartaaTokenizer.from_pretrained(__a						)
        self.assertDictEqual(new_tok.fairseq_tokens_to_ids     ,				__a						)





     @require_torch
     def 							lowercase__				(			self		: int						):





        """simple docstring"""




        lowercase_      :Any         =			self.tokenizer(self.src_text     ,				text_target=self.tgt_text     ,				padding=__a     ,				return_tensors="pt"						)
        lowercase_      :Optional[int]         =			shift_tokens_right(batch["labels"]     ,				self.tokenizer.pad_token_id						)

        # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
        assert batch.input_ids[1][0] == EN_CODE
        assert batch.input_ids[1][-1] == 2
        assert batch.labels[1][0] == RO_CODE
        assert batch.labels[1][-1] == 2
        assert batch.decoder_input_ids[1][:2].tolist() == [2, RO_CODE]





     @require_torch
     def 							lowercase__				(			self		: List[str]						):





        """simple docstring"""




        lowercase_      :List[str]         =			self.tokenizer(
            self.src_text     ,				text_target=self.tgt_text     ,				padding=__a     ,				truncation=__a     ,				max_length=len(self.expected_src_tokens						)     ,				return_tensors="pt"     ,				)
        lowercase_      :List[str]         =			shift_tokens_right(batch["labels"]     ,				self.tokenizer.pad_token_id						)

        self.assertIsInstance(__a     ,				__a						)

        self.assertEqual((2, 14)     ,				batch.input_ids.shape						)
        self.assertEqual((2, 14)     ,				batch.attention_mask.shape						)
        lowercase_      :str         =			batch.input_ids.tolist()[0]
        self.assertListEqual(self.expected_src_tokens     ,				__a						)
        self.assertEqual(2     ,				batch.decoder_input_ids[0, 0]						)  # decoder_start_token_id
        # Test that special tokens are reset
        self.assertEqual(self.tokenizer.prefix_tokens     ,				[EN_CODE]						)
        self.assertEqual(self.tokenizer.suffix_tokens     ,				[self.tokenizer.eos_token_id]						)





     def 							lowercase__				(			self		: Optional[Any]						):





        """simple docstring"""




        lowercase_      :Any         =			self.tokenizer(self.src_text     ,				padding=__a     ,				truncation=__a     ,				max_length=3     ,				return_tensors="pt"						)
        lowercase_      :Tuple         =			self.tokenizer(
            text_target=self.tgt_text     ,				padding=__a     ,				truncation=__a     ,				max_length=10     ,				return_tensors="pt"						)
        lowercase_      :List[str]         =			targets["input_ids"]
        lowercase_      :Optional[int]         =			shift_tokens_right(__a     ,				self.tokenizer.pad_token_id						)

        self.assertEqual(batch.input_ids.shape[1]     ,				3						)
        self.assertEqual(batch.decoder_input_ids.shape[1]     ,				10						)







     @require_torch
     def 							lowercase__				(			self		: List[str]						):





        """simple docstring"""




        lowercase_      :Union[str, Any]         =			self.tokenizer._build_translation_inputs(
            "A test"     ,				return_tensors="pt"     ,				src_lang="en_XX"     ,				tgt_lang="ar_AR"						)

        self.assertEqual(
            nested_simplify(__a						)     ,				{
                # en_XX, A, test, EOS
                "input_ids": [[250_004, 62, 3_034, 2]],
                "attention_mask": [[1, 1, 1, 1]],
                # ar_AR
                "forced_bos_token_id": 250_001,
            }     ,				)









'''simple docstring'''


from __future__ import annotations

lowerCAmelCase :					Any 							={
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}
class 				a_       :





     def __init__(			self		: List[Any]     ,				lowercase		: dict[str, list[str]]     ,				lowercase		: str						):





        """simple docstring"""




        lowercase_      :List[str]         =			graph
        # mapping node to its parent in resulting breadth first tree
        lowercase_      :dict[str, str | None]         =			{}
        lowercase_      :Dict         =			source_vertex





     def 							lowercase__				(			self		: Tuple						):





        """simple docstring"""




        lowercase_      :Union[str, Any]         =			{self.source_vertex}
        lowercase_      :Tuple         =			None
        lowercase_      :Dict         =			[self.source_vertex]  # first in first out queue

        while queue:
           lowercase_      :int         =			queue.pop(0						)
           for adjacent_vertex in self.graph[vertex]:
              if adjacent_vertex not in visited:
                 visited.add(lowercase						)
                 lowercase_      :Optional[Any]         =			vertex
                 queue.append(lowercase						)







     def 							lowercase__				(			self		: Tuple     ,				lowercase		: str						):





        """simple docstring"""




        if target_vertex == self.source_vertex:
           return self.source_vertex

        lowercase_      :List[str]         =			self.parent.get(lowercase						)
        if target_vertex_parent is None:
           lowercase_      :Union[str, Any]         =			(
               F'No path from vertex: {self.source_vertex} to vertex: {target_vertex}'
           )
           raise ValueError(lowercase						)

        return self.shortest_path(lowercase						) + F'->{target_vertex}'


if __name__ == "__main__":
 lowerCAmelCase :					Dict 							=Graph(graph, '''G''')
 g.breath_first_search()
 print(g.shortest_path('''D'''))
 print(g.shortest_path('''G'''))
 print(g.shortest_path('''Foo'''))


