


'''simple docstring'''



from queue import PriorityQueue
from typing import Any

import numpy as np






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       dict						,				_SCREAMING_SNAKE_CASE				:       str						,				_SCREAMING_SNAKE_CASE				:       set						,				_SCREAMING_SNAKE_CASE				:       set						,				_SCREAMING_SNAKE_CASE				:       dict						,				_SCREAMING_SNAKE_CASE				:       dict						,				_SCREAMING_SNAKE_CASE				:       PriorityQueue						,				_SCREAMING_SNAKE_CASE				:       dict						,				_SCREAMING_SNAKE_CASE				:       float | int						,				):


     for nxt, d in graph[v]:
          if nxt in visited_forward:
               continue
          __a      :	str    =  cst_fwd.get(__UpperCamelCase						,				np.inf       )
          __a      :	Optional[int]    =  cst_fwd[v] + d
          if new_cost_f < old_cost_f:
               queue.put((new_cost_f, nxt)       )
               __a      :	str    =  new_cost_f
               __a      :	Tuple    =  v
          if nxt in visited_backward:
               if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
                    __a      :	List[str]    =  cst_fwd[v] + d + cst_bwd[nxt]
     return shortest_distance






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       str						,				_SCREAMING_SNAKE_CASE				:       str						,				_SCREAMING_SNAKE_CASE				:       dict						,				_SCREAMING_SNAKE_CASE				:       dict       ):
     __a      :	List[str]    =  -1

     __a      :	Any    =  set()
     __a      :	List[str]    =  set()
     __a      :	Tuple    =  {source: 0}
     __a      :	Optional[Any]    =  {destination: 0}
     __a      :	int    =  {source: None}
     __a      :	Optional[int]    =  {destination: None}
     __a      :	Union[str, Any]    =  PriorityQueue()
     __a      :	Any    =  PriorityQueue()

     __a      :	Any    =  np.inf

     queue_forward.put((0, source)       )
     queue_backward.put((0, destination)       )

     if source == destination:
          return 0

     while not queue_forward.empty() and not queue_backward.empty():
          __a   ,    __a      :	str    =  queue_forward.get()
          visited_forward.add(__UpperCamelCase       )

          __a   ,    __a      :	Dict    =  queue_backward.get()
          visited_backward.add(__UpperCamelCase       )

          __a      :	Optional[int]    =  pass_and_relaxation(
              __UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				)

          __a      :	int    =  pass_and_relaxation(
              __UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				__UpperCamelCase						,				)

          if cst_fwd[v_fwd] + cst_bwd[v_bwd] >= shortest_distance:
               break

     if shortest_distance != np.inf:
          __a      :	Tuple    =  shortest_distance
     return shortest_path_distance


__lowercase     :						Optional[int]	=     {
    'B': [['C', 1]],
    'C': [['D', 1]],
    'D': [['F', 1]],
    'E': [['B', 1], ['G', 2]],
    'F': [],
    'G': [['F', 1]],
}
__lowercase     :						Union[str, Any]	=     {
    'B': [['E', 1]],
    'C': [['B', 1]],
    'D': [['C', 1]],
    'F': [['D', 1], ['G', 1]],
    'E': [[None, np.inf]],
    'G': [['E', 2]],
}

if __name__ == "__main__":
 import doctest

 doctest.testmod()







'''simple docstring'''



import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 							__UpperCamelCase    (		lowerCAmelCase_		,				unittest.TestCase ):
	A_           =   CodeGenTokenizer
	A_           =   CodeGenTokenizerFast
	A_           =   True
	A_           =   {"add_prefix_space": True}
	A_           =   False




	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						super().setUp()

						# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
						__a      :	Tuple    =  [
						    'l',
						    'o',
						    'w',
						    'e',
						    'r',
						    's',
						    't',
						    'i',
						    'd',
						    'n',
						    '\u0120',
						    '\u0120l',
						    '\u0120n',
						    '\u0120lo',
						    '\u0120low',
						    'er',
						    '\u0120lowest',
						    '\u0120newer',
						    '\u0120wider',
						    '<unk>',
						    '<|endoftext|>',
						]
						__a      :	Union[str, Any]    =  dict(zip(__a						,    range(len(__a							)							)							)							)
						__a      :	Tuple    =  ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
						__a      :	Dict    =  {'unk_token': '<unk>'}

						__a      :	List[Any]    =  os.path.join(self.tmpdirname						,    VOCAB_FILES_NAMES['vocab_file']							)
						__a      :	List[str]    =  os.path.join(self.tmpdirname						,    VOCAB_FILES_NAMES['merges_file']							)
						with open(self.vocab_file						,    'w'						,    encoding='utf-8'							) as fp:
											fp.write(json.dumps(__a							) + '\n'							)
						with open(self.merges_file						,    'w'						,    encoding='utf-8'							) as fp:
											fp.write('\n'.join(__a							)							)




	def 				__UpperCAmelCase							(       self						,    **__a							):

						'''simple docstring'''





						kwargs.update(self.special_tokens_map							)
						return CodeGenTokenizer.from_pretrained(self.tmpdirname						,    **__a							)




	def 				__UpperCAmelCase							(       self						,    **__a							):

						'''simple docstring'''





						kwargs.update(self.special_tokens_map							)
						return CodeGenTokenizerFast.from_pretrained(self.tmpdirname						,    **__a							)




	def 				__UpperCAmelCase							(       self						,    __a							):

						'''simple docstring'''





						__a      :	Tuple    =  'lower newer'
						__a      :	Tuple    =  'lower newer'
						return input_text, output_text




	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						__a      :	List[Any]    =  CodeGenTokenizer(self.vocab_file						,    self.merges_file						,    **self.special_tokens_map							)
						__a      :	str    =  'lower newer'
						__a      :	Tuple    =  ['\u0120low', 'er', '\u0120', 'n', 'e', 'w', 'er']
						__a      :	Dict    =  tokenizer.tokenize(__a						,    add_prefix_space=__a							)
						self.assertListEqual(__a						,    __a							)

						__a      :	List[str]    =  tokens + [tokenizer.unk_token]
						__a      :	Any    =  [14, 15, 10, 9, 3, 2, 15, 19]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(__a							)						,    __a							)




	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						if not self.test_rust_tokenizer:
											return

						__a      :	List[Any]    =  self.get_tokenizer()
						__a      :	List[str]    =  self.get_rust_tokenizer(add_prefix_space=__a							)

						__a      :	Any    =  'lower newer'

						# Testing tokenization
						__a      :	Dict    =  tokenizer.tokenize(__a						,    add_prefix_space=__a							)
						__a      :	Dict    =  rust_tokenizer.tokenize(__a							)
						self.assertListEqual(__a						,    __a							)

						# Testing conversion to ids without special tokens
						__a      :	int    =  tokenizer.encode(__a						,    add_special_tokens=__a						,    add_prefix_space=__a							)
						__a      :	Tuple    =  rust_tokenizer.encode(__a						,    add_special_tokens=__a							)
						self.assertListEqual(__a						,    __a							)

						# Testing conversion to ids with special tokens
						__a      :	Tuple    =  self.get_rust_tokenizer(add_prefix_space=__a							)
						__a      :	Union[str, Any]    =  tokenizer.encode(__a						,    add_prefix_space=__a							)
						__a      :	int    =  rust_tokenizer.encode(__a							)
						self.assertListEqual(__a						,    __a							)

						# Testing the unknown token
						__a      :	Any    =  tokens + [rust_tokenizer.unk_token]
						__a      :	Tuple    =  [14, 15, 10, 9, 3, 2, 15, 19]
						self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(__a							)						,    __a							)




	def 				__UpperCAmelCase							(       self						,    *__a						,    **__a							):

						'''simple docstring'''





						pass




	def 				__UpperCAmelCase							(       self						,    __a=15							):

						'''simple docstring'''





						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""							):
																__a      :	Optional[int]    =  self.rust_tokenizer_class.from_pretrained(__a						,    **__a							)

																# Simple input
																__a      :	List[Any]    =  'This is a simple input'
																__a      :	Tuple    =  ['This is a simple input 1', 'This is a simple input 2']
																__a      :	Tuple    =  ('This is a simple input', 'This is a pair')
																__a      :	str    =  [
																    ('This is a simple input 1', 'This is a simple input 2'),
																    ('This is a simple pair 1', 'This is a simple pair 2'),
																]

																# Simple input tests
																self.assertRaises(__a						,    tokenizer_r.encode						,    __a						,    max_length=__a						,    padding='max_length'							)

																# Simple input
																self.assertRaises(__a						,    tokenizer_r.encode_plus						,    __a						,    max_length=__a						,    padding='max_length'							)

																# Simple input
																self.assertRaises(
																    __a						,    tokenizer_r.batch_encode_plus						,    __a						,    max_length=__a						,    padding='max_length'						,    )

																# Pair input
																self.assertRaises(__a						,    tokenizer_r.encode						,    __a						,    max_length=__a						,    padding='max_length'							)

																# Pair input
																self.assertRaises(__a						,    tokenizer_r.encode_plus						,    __a						,    max_length=__a						,    padding='max_length'							)

																# Pair input
																self.assertRaises(
																    __a						,    tokenizer_r.batch_encode_plus						,    __a						,    max_length=__a						,    padding='max_length'						,    )




	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						__a      :	List[Any]    =  CodeGenTokenizer.from_pretrained(self.tmpdirname						,    pad_token='<pad>'							)

						# Simple input
						__a      :	str    =  'This is a simple input'
						__a      :	Any    =  ['This is a simple input looooooooong', 'This is a simple input']
						__a      :	Optional[int]    =  ('This is a simple input', 'This is a pair')
						__a      :	Optional[Any]    =  [
						    ('This is a simple input loooooong', 'This is a simple input'),
						    ('This is a simple pair loooooong', 'This is a simple pair'),
						]

						__a      :	int    =  tokenizer.pad_token_id

						__a      :	List[Any]    =  tokenizer(__a						,    padding='max_length'						,    max_length=30						,    return_tensors='np'							)
						__a      :	Union[str, Any]    =  tokenizer(__a						,    padding=__a						,    truncate=__a						,    return_tensors='np'							)
						__a      :	Optional[Any]    =  tokenizer(*__a						,    padding='max_length'						,    max_length=60						,    return_tensors='np'							)
						__a      :	List[Any]    =  tokenizer(__a						,    padding=__a						,    truncate=__a						,    return_tensors='np'							)

						# s
						# test single string max_length padding
						self.assertEqual(out_s['input_ids'].shape[-1]						,    30							)
						self.assertTrue(pad_token_id in out_s['input_ids']							)
						self.assertTrue(0 in out_s['attention_mask']							)

						# s2
						# test automatic padding
						self.assertEqual(out_sa['input_ids'].shape[-1]						,    33							)
						# long slice doesn't have padding
						self.assertFalse(pad_token_id in out_sa['input_ids'][0]							)
						self.assertFalse(0 in out_sa['attention_mask'][0]							)
						# short slice does have padding
						self.assertTrue(pad_token_id in out_sa['input_ids'][1]							)
						self.assertTrue(0 in out_sa['attention_mask'][1]							)

						# p
						# test single pair max_length padding
						self.assertEqual(out_p['input_ids'].shape[-1]						,    60							)
						self.assertTrue(pad_token_id in out_p['input_ids']							)
						self.assertTrue(0 in out_p['attention_mask']							)

						# p2
						# test automatic padding pair
						self.assertEqual(out_pa['input_ids'].shape[-1]						,    52							)
						# long slice pair doesn't have padding
						self.assertFalse(pad_token_id in out_pa['input_ids'][0]							)
						self.assertFalse(0 in out_pa['attention_mask'][0]							)
						# short slice pair does have padding
						self.assertTrue(pad_token_id in out_pa['input_ids'][1]							)
						self.assertTrue(0 in out_pa['attention_mask'][1]							)




	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						__a      :	Optional[int]    =  '$$$'
						__a      :	List[str]    =  CodeGenTokenizer.from_pretrained(self.tmpdirname						,    bos_token=__a						,    add_bos_token=__a							)

						__a      :	Union[str, Any]    =  'This is a simple input'
						__a      :	List[Any]    =  ['This is a simple input 1', 'This is a simple input 2']

						__a      :	List[Any]    =  tokenizer.bos_token_id

						__a      :	List[str]    =  tokenizer(__a							)
						__a      :	Optional[Any]    =  tokenizer(__a							)

						self.assertEqual(out_s.input_ids[0]						,    __a							)
						self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids							)							)

						__a      :	Any    =  tokenizer.decode(out_s.input_ids							)
						__a      :	Union[str, Any]    =  tokenizer.batch_decode(out_sa.input_ids							)

						self.assertEqual(decode_s.split()[0]						,    __a							)
						self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa							)							)




	@slow
	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						__a      :	Any    =  CodeGenTokenizer.from_pretrained('Salesforce/codegen-350M-mono'							)

						__a      :	Optional[int]    =  '\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#'
						__a      :	Tuple    =  '\nif len_a > len_b:      result = a\nelse:      result = b'

						__a      :	Optional[int]    =  tokenizer.encode(__a							)
						__a      :	Union[str, Any]    =  ['^#', re.escape('<|endoftext|>'							), '^\'\'\'', '^"""', '\n\n\n']
						__a      :	Tuple    =  tokenizer.decode(__a						,    truncate_before_pattern=__a							)
						self.assertEqual(__a						,    __a							)





	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						pass



