





'''simple docstring'''







import json
import os
import unittest

from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
    VOCAB_FILES_NAMES,
    GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 			_lowercase						(       __a				,		unittest.TestCase					):
     _UpperCAmelCase										=					GPTSanJapaneseTokenizer
     _UpperCAmelCase										=					False
     _UpperCAmelCase										=					{'''do_clean_text''': False, '''add_prefix_space''': False}







     def     UpperCamelCase			( self    ) ->	int:
      super().setUp()

      # fmt: off
      snake_case				=			['''こん''', '''こんに''', '''にちは''', '''ばんは''', '''世界,㔺界''', '''、''', '''。''', '''<BR>''', '''<SP>''', '''<TAB>''', '''<URL>''', '''<EMAIL>''', '''<TEL>''', '''<DATE>''', '''<PRICE>''', '''<BLOCK>''', '''<KIGOU>''', '''<U2000U2BFF>''', '''<|emoji1|>''', '''<unk>''', '''<|bagoftoken|>''', '''<|endoftext|>''']
      # fmt: on
      snake_case				=			{'''emoji''': {'''\ud83d\ude00''': '''<|emoji1|>'''}, '''emoji_inv''': {'''<|emoji1|>''': '''\ud83d\ude00'''}}  # 😀
      snake_case				=			{'''unk_token''': '''<unk>'''}

      snake_case				=			os.path.join(self.tmpdirname    ,   VOCAB_FILES_NAMES['''vocab_file''']    )
      snake_case				=			os.path.join(self.tmpdirname    ,   VOCAB_FILES_NAMES['''emoji_file''']    )
      with open(self.vocab_file    ,   '''w'''    ,   encoding='''utf-8'''    ) as vocab_writer:
       vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]    )    )
      with open(self.emoji_file    ,   '''w'''    ) as emoji_writer:
       emoji_writer.write(json.dumps(A__    )    )







     def     UpperCamelCase			( self    ,   **A__    ) ->	Union[str, Any]:
      kwargs.update(self.special_tokens_map    )
      return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname    ,   **A__    )







     def     UpperCamelCase			( self    ,   A__    ) ->	Any:
      snake_case				=			'''こんにちは、世界。 \nこんばんは、㔺界。😀'''
      snake_case				=			'''こんにちは、世界。 \nこんばんは、世界。😀'''
      return input_text, output_text







     def     UpperCamelCase			( self    ,   A__    ) ->	str:
      snake_case				,		snake_case				=			self.get_input_output_texts(A__    )
      snake_case				=			tokenizer.encode(A__    ,   add_special_tokens=A__    )
      snake_case				=			tokenizer.decode(A__    ,   clean_up_tokenization_spaces=A__    )
      return text, ids







     def     UpperCamelCase			( self    ) ->	List[Any]:
      pass  # TODO add if relevant







     def     UpperCamelCase			( self    ) ->	int:
      pass  # TODO add if relevant







     def     UpperCamelCase			( self    ) ->	Union[str, Any]:
      pass  # TODO add if relevant







     def     UpperCamelCase			( self    ) ->	Dict:
      snake_case				=			self.get_tokenizer()

      # Testing tokenization
      snake_case				=			'''こんにちは、世界。　こんばんは、㔺界。'''
      snake_case				=			['''こん''', '''にちは''', '''、''', '''世界''', '''。''', '''<SP>''', '''こん''', '''ばんは''', '''、''', '''㔺界''', '''。''']
      snake_case				=			tokenizer.tokenize(A__    )
      self.assertListEqual(A__    ,   A__    )

      # Testing conversion to ids without special tokens
      snake_case				=			[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
      snake_case				=			tokenizer.convert_tokens_to_ids(A__    )
      self.assertListEqual(A__    ,   A__    )

      # Testing conversion to ids with special tokens
      snake_case				=			tokens + [tokenizer.unk_token]
      snake_case				=			[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
      snake_case				=			tokenizer.convert_tokens_to_ids(A__    )
      self.assertListEqual(A__    ,   A__    )







     def     UpperCamelCase			( self    ) ->	Dict:
      snake_case				=			self.get_tokenizer()

      # Testing tokenization
      snake_case				=			'''こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。'''
      snake_case				=			'''こんにちは、、、、世界。こんばんは、、、、世界。'''
      snake_case				=			tokenizer.encode(A__    )
      snake_case				=			tokenizer.decode(A__    )
      self.assertEqual(A__    ,   A__    )







     @slow
     def     UpperCamelCase			( self    ) ->	List[Any]:
      snake_case				=			self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese'''    )

      # Testing tokenization
      snake_case				=			'''こんにちは、世界。'''
      snake_case				=			'''こんばんは、㔺界。😀'''
      snake_case				=			'''こんにちは、世界。こんばんは、世界。😀'''
      snake_case				=			tokenizer.encode(prefix_text + input_text    )
      snake_case				=			tokenizer.encode(''''''    ,   prefix_text=prefix_text + input_text    )
      snake_case				=			tokenizer.encode(A__    ,   prefix_text=A__    )
      snake_case				=			tokenizer.decode(A__    )
      snake_case				=			tokenizer.decode(A__    )
      snake_case				=			tokenizer.decode(A__    )
      self.assertEqual(A__    ,   A__    )
      self.assertEqual(A__    ,   A__    )
      self.assertEqual(A__    ,   A__    )







     @slow
     def     UpperCamelCase			( self    ) ->	int:
      snake_case				=			self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese'''    )

      # Testing tokenization
      snake_case				=			'''こんにちは、世界。'''
      snake_case				=			'''こんばんは、㔺界。😀'''

      snake_case				=			len(tokenizer.encode(A__    )    ) - 2
      snake_case				=			len(tokenizer.encode(A__    )    ) - 2

      snake_case				=			[1] + [0] * (len_prefix + len_text + 1)
      snake_case				=			[1] * (len_prefix + len_text + 1) + [0]
      snake_case				=			[1] + [1] * (len_prefix) + [0] * (len_text + 1)

      snake_case				=			tokenizer(prefix_text + input_text    ).token_type_ids
      snake_case				=			tokenizer(''''''    ,   prefix_text=prefix_text + input_text    ).token_type_ids
      snake_case				=			tokenizer(A__    ,   prefix_text=A__    ).token_type_ids
      self.assertListEqual(A__    ,   A__    )
      self.assertListEqual(A__    ,   A__    )
      self.assertListEqual(A__    ,   A__    )







     @slow
     def     UpperCamelCase			( self    ) ->	Optional[Any]:
      snake_case				=			self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese'''    )

      snake_case				=			tokenizer.encode('''あンいワ'''    )
      snake_case				=			tokenizer.encode(''''''    ,   prefix_text='''あンいワ'''    )
      snake_case				=			tokenizer.encode('''いワ'''    ,   prefix_text='''あン'''    )

      self.assertEqual(tokenizer.decode(A__    )    ,   tokenizer.decode(A__    )    )
      self.assertEqual(tokenizer.decode(A__    )    ,   tokenizer.decode(A__    )    )
      self.assertNotEqual(A__    ,   A__    )
      self.assertNotEqual(A__    ,   A__    )
      self.assertEqual(x_token_a[1]    ,   x_token_a[-1]    )  # SEG token
      self.assertEqual(x_token_a[1]    ,   x_token_a[3]    )  # SEG token







     @slow
     def     UpperCamelCase			( self    ) ->	List[Any]:
      snake_case				=			self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese'''    )

      snake_case				=			[['''武田信玄''', '''は、'''], ['''織田信長''', '''の配下の、''']]
      snake_case				=			tokenizer(A__    ,   padding=A__    )
      snake_case				=			tokenizer.batch_encode_plus(A__    ,   padding=A__    )

      # fmt: off
      snake_case				=			[[3_59_93, 86_40, 2_59_48, 3_59_98, 3_06_47, 3_56_75, 3_59_99, 3_59_99], [3_59_93, 1_03_82, 98_68, 3_59_98, 3_06_46, 94_59, 3_06_46, 3_56_75]]
      snake_case				=			[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
      snake_case				=			[[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
      # fmt: on
      self.assertListEqual(x_token.input_ids    ,   A__    )
      self.assertListEqual(x_token.token_type_ids    ,   A__    )
      self.assertListEqual(x_token.attention_mask    ,   A__    )
      self.assertListEqual(x_token_a.input_ids    ,   A__    )
      self.assertListEqual(x_token_a.token_type_ids    ,   A__    )
      self.assertListEqual(x_token_a.attention_mask    ,   A__    )







     def     UpperCamelCase			( self    ) ->	Optional[int]:
      # Intentionally convert some words to accommodate character fluctuations unique to Japanese
      pass







     def     UpperCamelCase			( self    ) ->	Optional[int]:
      # tokenizer has no padding token
      pass








'''simple docstring'''







import argparse
import copy

def    __UpperCamelCase	(	a    : Union[str, Any]     ) ->Tuple:
 snake_case				=			{}

 with open(a     ) as f:
  for line in f:
   if line.split()[0] not in dict_of_neighbours:
    snake_case				=			[]
    _list.append([line.split()[1], line.split()[2]]     )
    snake_case				=			_list
   else:
    dict_of_neighbours[line.split()[0]].append(
        [line.split()[1], line.split()[2]]     )
   if line.split()[1] not in dict_of_neighbours:
    snake_case				=			[]
    _list.append([line.split()[0], line.split()[2]]     )
    snake_case				=			_list
   else:
    dict_of_neighbours[line.split()[1]].append(
        [line.split()[0], line.split()[2]]     )

 return dict_of_neighbours

def    __UpperCamelCase	(	a    : Dict					,   a    : Tuple     ) ->int:

 with open(a     ) as f:
  snake_case				=			f.read(1     )
 snake_case				=			start_node

 snake_case				=			[]

 snake_case				=			start_node

 snake_case				=			0
 while visiting not in first_solution:
  snake_case				=			1_0000
  for k in dict_of_neighbours[visiting]:
   if int(k[1]     ) < int(a     ) and k[0] not in first_solution:
    snake_case				=			k[1]
    snake_case				=			k[0]

  first_solution.append(a     )
  snake_case				=			distance_of_first_solution + int(a     )
  snake_case				=			best_node

 first_solution.append(a     )

 snake_case				=			0
 for k in dict_of_neighbours[first_solution[-2]]:
  if k[0] == start_node:
   break
  position += 1

 snake_case				=			(
     distance_of_first_solution
     + int(dict_of_neighbours[first_solution[-2]][position][1]     )
     - 1_0000
 )
 return first_solution, distance_of_first_solution

def    __UpperCamelCase	(	a    : Optional[int]					,   a    : str     ) ->str:
 snake_case				=			[]

 for n in solution[1:-1]:
  snake_case				=			solution.index(a     )
  for kn in solution[1:-1]:
   snake_case				=			solution.index(a     )
   if n == kn:
    continue

   snake_case				=			copy.deepcopy(a     )
   snake_case				=			kn
   snake_case				=			n

   snake_case				=			0

   for k in _tmp[:-1]:
    snake_case				=			_tmp[_tmp.index(a     ) + 1]
    for i in dict_of_neighbours[k]:
     if i[0] == next_node:
      snake_case				=			distance + int(i[1]     )
   _tmp.append(a     )

   if _tmp not in neighborhood_of_solution:
    neighborhood_of_solution.append(_tmp     )

 snake_case				=			len(neighborhood_of_solution[0]     ) - 1

 neighborhood_of_solution.sort(key=lambda a     : x[index_of_last_item_in_the_list]     )
 return neighborhood_of_solution

def    __UpperCamelCase	(	a    : Any					,   a    : Optional[Any]					,   a    : int					,   a    : Optional[int]					,   a    : Union[str, Any]     ) ->List[Any]:
 snake_case				=			1
 snake_case				=			first_solution
 snake_case				=			[]
 snake_case				=			distance_of_first_solution
 snake_case				=			solution

 while count <= iters:
  snake_case				=			find_neighborhood(a					,   a     )
  snake_case				=			0
  snake_case				=			neighborhood[index_of_best_solution]
  snake_case				=			len(a     ) - 1

  snake_case				=			False
  while not found:
   snake_case				=			0
   while i < len(a     ):
    if best_solution[i] != solution[i]:
     snake_case				=			best_solution[i]
     snake_case				=			solution[i]
     break
    snake_case				=			i + 1

   if [first_exchange_node, second_exchange_node] not in tabu_list and [
       second_exchange_node,
       first_exchange_node,
   ] not in tabu_list:
    tabu_list.append([first_exchange_node, second_exchange_node]     )
    snake_case				=			True
    snake_case				=			best_solution[:-1]
    snake_case				=			neighborhood[index_of_best_solution][best_cost_index]
    if cost < best_cost:
     snake_case				=			cost
     snake_case				=			solution
   else:
    snake_case				=			index_of_best_solution + 1
    snake_case				=			neighborhood[index_of_best_solution]

  if len(a     ) >= size:
   tabu_list.pop(0     )

  snake_case				=			count + 1

 return best_solution_ever, best_cost

def    __UpperCamelCase	(	a    : Union[str, Any]=None     ) ->Optional[Any]:
 snake_case				=			generate_neighbours(args.File     )

 snake_case				,		snake_case				=			generate_first_solution(
     args.File					,   a     )

 snake_case				,		snake_case				=			tabu_search(
     a					,   a					,   a					,   args.Iterations					,   args.Size					,   )

 print(f"""Best solution: {best_sol}, with total distance: {best_cost}."""     )


if __name__ == "__main__":
   _lowercase       						=			argparse.ArgumentParser(description='Tabu Search')
   parser.add_argument(
       '-f',
       '--File',
       type=str,
       help='Path to the file containing the data',
       required=True,
   )
   parser.add_argument(
       '-i',
       '--Iterations',
       type=int,
       help='How many iterations the algorithm should perform',
       required=True,
   )
   parser.add_argument(
       '-s', '--Size', type=int, help='Size of the tabu list', required=True
   )

   # Pass the arguments to main method
   main(parser.parse_args())

