



'''simple docstring'''






import tempfile
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin


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


if is_torch_available():
					from transformers.models.plbart.modeling_plbart import shift_tokens_right

lowerCAmelCase:      Union[str, Any]		 =		5_0_0_0_3
lowerCAmelCase:      Optional[Any]		 =		5_0_0_0_2

@require_sentencepiece
@require_tokenizers
class 							a__(      __lowercase	,				unittest.TestCase			):
				lowercase__				=					PLBartTokenizer
				lowercase__				=					None
				lowercase__				=					False







				def     lowercase_ (   self				:						Any			):
						super().setUp()

						# We have a SentencePiece fixture for testing
						a		:      int       =  PLBartTokenizer(_A		,    language_codes='base'		,    keep_accents=_A			)
						tokenizer.save_pretrained(self.tmpdirname			)







				def     lowercase_ (   self				:						Union[str, Any]			):
						a		:      Union[str, Any]       =  PLBartTokenizer(_A		,    language_codes='base'		,    keep_accents=_A			)

						a		:      Any       =  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 [2_85, 46, 10, 1_70, 3_82]]		,    )

						a		:      int       =  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',
						        '.',
						    ]		,    )
						a		:      Union[str, Any]       =  tokenizer.convert_tokens_to_ids(_A			)
						self.assertListEqual(
						    _A		,    [
						        value + tokenizer.fairseq_offset
						        for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
						    ]		,    )

						a		:      Optional[Any]       =  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>',
						        '.',
						    ]		,    )

						a		:      Any       =  tokenizer.vocab_size
						a		:      List[str]       =  [tokenizer.convert_ids_to_tokens(_A			) for x in range(end - 4		,    _A			)]

						self.assertListEqual(_A		,    ['__java__', '__python__', '__en_XX__', '<mask>']			)

						a		:      Optional[int]       =  'java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'
						a		:      Optional[Any]       =  tokenizer(_A			).input_ids
						self.assertEqual(
						    tokenizer.decode(_A		,    skip_special_tokens=_A		,    clean_up_tokenization_spaces=_A			)		,    _A		,    )







				def     lowercase_ (   self				:						int			):
						a		:      List[str]       =  PLBartTokenizer(_A		,    language_codes='multi'		,    keep_accents=_A			)

						a		:      Any       =  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 [2_85, 46, 10, 1_70, 3_82]]		,    )

						a		:      Dict       =  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',
						        '.',
						    ]		,    )
						a		:      Tuple       =  tokenizer.convert_tokens_to_ids(_A			)
						self.assertListEqual(
						    _A		,    [
						        value + tokenizer.fairseq_offset
						        for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
						    ]		,    )

						a		:      Union[str, Any]       =  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>',
						        '.',
						    ]		,    )
						a		:      str       =  tokenizer.vocab_size
						a		:      Optional[int]       =  [tokenizer.convert_ids_to_tokens(_A			) for x in range(end - 7		,    _A			)]

						self.assertListEqual(
						    _A		,    ['__java__', '__python__', '__en_XX__', '__javascript__', '__php__', '__ruby__', '__go__']			)
						a		:      str       =  'java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'
						a		:      Dict       =  tokenizer(_A			).input_ids
						self.assertEqual(
						    tokenizer.decode(_A		,    skip_special_tokens=_A		,    clean_up_tokenization_spaces=_A			)		,    _A		,    )

@require_torch
@require_sentencepiece
@require_tokenizers
class 							a__(      unittest.TestCase			):
				lowercase__				=					"""uclanlp/plbart-python-en_XX"""
				lowercase__				=					[
				    """def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])""",
				    """def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""",
				]
				lowercase__				=					[
				    """Returns the maximum value of a b c.""",
				    """Sums the values of a b c.""",
				]
				lowercase__				=					[
				    1_34,
				    54_52,
				    3_34_60,
				    3_34_41,
				    3_34_63,
				    3_34_65,
				    3_34_63,
				    3_34_49,
				    9_88,
				    20,
				    3_34_56,
				    19,
				    3_34_56,
				    7_71,
				    39,
				    42_58,
				    8_89,
				    33_18,
				    3_34_41,
				    3_34_63,
				    3_34_65,
				    3_34_63,
				    3_34_49,
				    24_71,
				    2,
				    PYTHON_CODE,
				]







				@classmethod
				def     lowercase_ (   cls				:						List[str]			):
						a		:      Dict       =  PLBartTokenizer.from_pretrained(
						    cls.checkpoint_name		,    language_codes='base'		,    src_lang='python'		,    tgt_lang='en_XX'			)
						a		:      Tuple       =  1
						return cls







				def     lowercase_ (   self				:						Optional[Any]			):
						self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__java__']		,    5_00_01			)
						self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__python__']		,    5_00_02			)
						self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__en_XX__']		,    5_00_03			)







				def     lowercase_ (   self				:						Union[str, Any]			):
						a		:      Any       =  self.tokenizer.batch_encode_plus(self.src_text			).input_ids[0]
						self.assertListEqual(self.expected_src_tokens		,    _A			)







				def     lowercase_ (   self				:						Union[str, Any]			):
						self.assertIn(_A		,    self.tokenizer.all_special_ids			)
						a		:      List[Any]       =  [EN_CODE, 90_37, 3_34_42, 57, 7_52, 1_53, 14, 56, 18, 9, 2]
						a		:      List[str]       =  self.tokenizer.decode(_A		,    skip_special_tokens=_A			)
						a		:      Optional[Any]       =  self.tokenizer.decode(generated_ids[1:]		,    skip_special_tokens=_A			)
						self.assertEqual(_A		,    _A			)
						self.assertNotIn(self.tokenizer.eos_token		,    _A			)







				def     lowercase_ (   self				:						Union[str, Any]			):
						a		:      List[str]       =  ['def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])' * 20]
						self.assertIsInstance(src_text[0]		,    _A			)
						a		:      Tuple       =  10
						a		:      Optional[Any]       =  self.tokenizer(_A		,    max_length=_A		,    truncation=_A			).input_ids[0]
						self.assertEqual(ids[-2]		,    2			)
						self.assertEqual(ids[-1]		,    _A			)
						self.assertEqual(len(_A			)		,    _A			)







				def     lowercase_ (   self				:						List[Any]			):
						self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', '__java__']			)		,    [5_00_04, 5_00_01]			)







				def     lowercase_ (   self				:						Dict			):
						a		:      Dict       =  tempfile.mkdtemp()
						a		:      Optional[Any]       =  self.tokenizer.fairseq_tokens_to_ids
						self.tokenizer.save_pretrained(_A			)
						a		:      Any       =  PLBartTokenizer.from_pretrained(_A			)
						self.assertDictEqual(new_tok.fairseq_tokens_to_ids		,    _A			)







				@require_torch
				def     lowercase_ (   self				:						int			):
						a		:      Dict       =  self.tokenizer(self.src_text		,    text_target=self.tgt_text		,    padding=_A		,    return_tensors='pt'			)
						a		:      Optional[int]       =  shift_tokens_right(batch['labels']		,    self.tokenizer.pad_token_id			)

						# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
						self.assertEqual(batch.input_ids[1][-2:].tolist()		,    [2, PYTHON_CODE]			)
						self.assertEqual(batch.decoder_input_ids[1][0]		,    _A			)
						self.assertEqual(batch.decoder_input_ids[1][-1]		,    2			)
						self.assertEqual(batch.labels[1][-2:].tolist()		,    [2, EN_CODE]			)







				@require_torch
				def     lowercase_ (   self				:						Any			):
						a		:      Union[str, Any]       =  self.tokenizer(
						    self.src_text		,    text_target=self.tgt_text		,    padding=_A		,    truncation=_A		,    max_length=len(self.expected_src_tokens			)		,    return_tensors='pt'		,    )
						a		:      List[Any]       =  shift_tokens_right(batch['labels']		,    self.tokenizer.pad_token_id			)

						self.assertIsInstance(_A		,    _A			)

						self.assertEqual((2, 26)		,    batch.input_ids.shape			)
						self.assertEqual((2, 26)		,    batch.attention_mask.shape			)
						a		:      Union[str, Any]       =  batch.input_ids.tolist()[0]
						self.assertListEqual(self.expected_src_tokens		,    _A			)
						self.assertEqual(2		,    batch.decoder_input_ids[0, -1]			)  # EOS
						# Test that special tokens are reset
						self.assertEqual(self.tokenizer.prefix_tokens		,    []			)
						self.assertEqual(self.tokenizer.suffix_tokens		,    [self.tokenizer.eos_token_id, PYTHON_CODE]			)







				def     lowercase_ (   self				:						Union[str, Any]			):
						a		:      Tuple       =  self.tokenizer(self.src_text		,    padding=_A		,    truncation=_A		,    max_length=3		,    return_tensors='pt'			)
						a		:      int       =  self.tokenizer(
						    text_target=self.tgt_text		,    padding=_A		,    truncation=_A		,    max_length=10		,    return_tensors='pt'			)
						a		:      Union[str, Any]       =  targets['input_ids']
						a		:      Union[str, Any]       =  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				:						Optional[int]			):
						a		:      Optional[int]       =  self.tokenizer._build_translation_inputs(
						    'A test'		,    return_tensors='pt'		,    src_lang='en_XX'		,    tgt_lang='java'			)

						self.assertEqual(
						    nested_simplify(_A			)		,    {
						        # A, test, EOS, en_XX
						        'input_ids': [[1_50, 2_42, 2, 5_00_03]],
						        'attention_mask': [[1, 1, 1, 1]],
						        # java
						        'forced_bos_token_id': 5_00_01,
						    }		,    )




'''simple docstring'''






from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

lowerCAmelCase:      List[str]		 =		TypeVar('T')
def    lowerCamelCase__ (		_A       ):
  return (position - 1) // 2
def    lowerCamelCase__ (		_A       ):
  return (2 * position) + 1
def    lowerCamelCase__ (		_A       ):
  return (2 * position) + 2

class 							a__(      Generic[T]			):







    def __init__(   self				:						Optional[Any]			):
      a		:      list[tuple[T, int]]       =  []
      a		:      dict[T, int]       =  {}
      a		:      int       =  0







    def __len__(   self				:						Union[str, Any]			):
      return self.elements







    def __repr__(   self				:						Any			):
      return str(self.heap			)







    def     lowercase_ (   self				:						Optional[int]			):
      # Check if the priority queue is empty
      return self.elements == 0







    def     lowercase_ (   self				:						Union[str, Any]		,    __snake_case				:						T		,    __snake_case				:						int			):
      # Add an element with given priority to the queue
      self.heap.append((elem, weight)			)
      a		:      int       =  self.elements
      self.elements += 1
      self._bubble_up(__snake_case			)







    def     lowercase_ (   self				:						Union[str, Any]			):
      # Remove and return the element with lowest weight (highest priority)
      if self.elements > 1:
        self._swap_nodes(0		,    self.elements - 1			)
      a     ,			a		:      str       =  self.heap.pop()
      del self.position_map[elem]
      self.elements -= 1
      if self.elements > 0:
        a     ,			a		:      List[Any]       =  self.heap[0]
        self._bubble_down(__snake_case			)
      return elem







    def     lowercase_ (   self				:						List[str]		,    __snake_case				:						T		,    __snake_case				:						int			):
      # Update the weight of the given key
      a		:      Any       =  self.position_map[elem]
      a		:      Union[str, Any]       =  (elem, weight)
      if position > 0:
        a		:      Optional[Any]       =  get_parent_position(__snake_case			)
        a     ,			a		:      Union[str, Any]       =  self.heap[parent_position]
        if parent_weight > weight:
          self._bubble_up(__snake_case			)
        else:
          self._bubble_down(__snake_case			)
      else:
        self._bubble_down(__snake_case			)







    def     lowercase_ (   self				:						int		,    __snake_case				:						T			):
      # Place a node at the proper position (upward movement) [to be used internally
      # only]
      a		:      Union[str, Any]       =  self.position_map[elem]
      if curr_pos == 0:
        return None
      a		:      Union[str, Any]       =  get_parent_position(__snake_case			)
      a     ,			a		:      Tuple       =  self.heap[curr_pos]
      a     ,			a		:      List[Any]       =  self.heap[parent_position]
      if parent_weight > weight:
        self._swap_nodes(__snake_case		,    __snake_case			)
        return self._bubble_up(__snake_case			)
      return None







    def     lowercase_ (   self				:						Tuple		,    __snake_case				:						T			):
      # Place a node at the proper position (downward movement) [to be used
      # internally only]
      a		:      str       =  self.position_map[elem]
      a     ,			a		:      List[Any]       =  self.heap[curr_pos]
      a		:      int       =  get_child_left_position(__snake_case			)
      a		:      Dict       =  get_child_right_position(__snake_case			)
      if child_left_position < self.elements and child_right_position < self.elements:
        a     ,			a		:      int       =  self.heap[child_left_position]
        a     ,			a		:      Optional[Any]       =  self.heap[child_right_position]
        if child_right_weight < child_left_weight and child_right_weight < weight:
          self._swap_nodes(__snake_case		,    __snake_case			)
          return self._bubble_down(__snake_case			)
      if child_left_position < self.elements:
        a     ,			a		:      Dict       =  self.heap[child_left_position]
        if child_left_weight < weight:
          self._swap_nodes(__snake_case		,    __snake_case			)
          return self._bubble_down(__snake_case			)
      else:
        return None
      if child_right_position < self.elements:
        a     ,			a		:      List[Any]       =  self.heap[child_right_position]
        if child_right_weight < weight:
          self._swap_nodes(__snake_case		,    __snake_case			)
          return self._bubble_down(__snake_case			)
      return None







    def     lowercase_ (   self				:						List[Any]		,    __snake_case				:						int		,    __snake_case				:						int			):
      # Swap the nodes at the given positions
      a		:      Optional[int]       =  self.heap[nodea_pos][0]
      a		:      int       =  self.heap[nodea_pos][0]
      a     ,			a		:      List[str]       =  (
          self.heap[nodea_pos],
          self.heap[nodea_pos],
      )
      a		:      Tuple       =  nodea_pos
      a		:      Any       =  nodea_pos

class 							a__(      Generic[T]			):







    def __init__(   self				:						Optional[int]			):
      a		:      dict[T, dict[T, int]]       =  {}
      a		:      int       =  0







    def __repr__(   self				:						List[str]			):
      return str(self.connections			)







    def __len__(   self				:						str			):
      return self.nodes







    def     lowercase_ (   self				:						int		,    __snake_case				:						T			):
      # Add a node in the graph if it is not in the graph
      if node not in self.connections:
        a		:      Optional[int]       =  {}
        self.nodes += 1







    def     lowercase_ (   self				:						Dict		,    __snake_case				:						T		,    __snake_case				:						T		,    __snake_case				:						int			):
      # Add an edge between 2 nodes in the graph
      self.add_node(__snake_case			)
      self.add_node(__snake_case			)
      a		:      Any       =  weight
      a		:      Dict       =  weight
def    lowerCamelCase__ (		_A				,    ):
  a		:      dict[T, int]       =  {node: maxsize for node in graph.connections}
  a		:      dict[T, T | None]       =  {node: None for node in graph.connections}

  a		:      MinPriorityQueue[T]       =  MinPriorityQueue()
  for node, weight in dist.items():
    priority_queue.push(_A				,    _A       )

  if priority_queue.is_empty():
    return dist, parent

  # initialization
  a		:      int       =  priority_queue.extract_min()
  a		:      Dict       =  0
  for neighbour in graph.connections[node]:
    if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
      a		:      Tuple       =  dist[node] + graph.connections[node][neighbour]
      priority_queue.update_key(_A				,    dist[neighbour]       )
      a		:      Dict       =  node

    # running prim's algorithm
  while not priority_queue.is_empty():
    a		:      List[str]       =  priority_queue.extract_min()
    for neighbour in graph.connections[node]:
      if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
        a		:      int       =  dist[node] + graph.connections[node][neighbour]
        priority_queue.update_key(_A				,    dist[neighbour]       )
        a		:      Optional[int]       =  node
  return dist, parent