
"""simple docstring"""

import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase
@require_tokenizers
class        _UpperCAmelCase							(						unittest.TestCase							):
      __SCREAMING_SNAKE_CASE				:							Tuple							 =		EsmTokenizer




      def       a_ (							self							)  ->   Dict:
           super().setUp()
           UpperCAmelCase       =   tempfile.mkdtemp()
           # fmt: off
           UpperCAmelCase       =   ["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
           # fmt: on
           UpperCAmelCase       =   os.path.join(self.tmpdirname				,    VOCAB_FILES_NAMES['vocab_file']							)
           with open(self.vocab_file				,    'w'				,    encoding='utf-8'							) as vocab_writer:
                vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]							)							)




      def       a_ (							self				,    **lowercase_							)  ->   Any:
           return [self.get_tokenizer(**snake_case_							)]




      def       a_ (							self				,    **lowercase_							)  ->   Dict:
           return self.tokenizer_class.from_pretrained(self.tmpdirname				,    **snake_case_							)




      def       a_ (							self							)  ->   Optional[int]:
           UpperCAmelCase       =   self.tokenizer_class(self.vocab_file							)

           UpperCAmelCase       =   tokenizer.tokenize('LAGVS'							)
           self.assertListEqual(snake_case_				,    ['L', 'A', 'G', 'V', 'S']							)
           self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_							)				,    [4, 5, 6, 7, 8]							)




      def       a_ (							self							)  ->   List[Any]:
           UpperCAmelCase       =   self.tokenizer_class(self.vocab_file							)

           UpperCAmelCase       =   """LAGVS"""
           self.assertListEqual(tokenizer.encode(snake_case_							)				,    [0, 4, 5, 6, 7, 8, 2]							)




      def       a_ (							self							)  ->   Tuple:
           UpperCAmelCase       =   self.tokenizer_class(self.vocab_file							)

           UpperCAmelCase       =   ["""LAGVS""", """WCB"""]
           UpperCAmelCase       =   tokenizer(snake_case_				,    padding=snake_case_							)["""input_ids"""]

           self.assertListEqual(snake_case_				,    [[0, 4, 5, 6, 7, 8, 2], [0, 2_2, 2_3, 2_5, 2]]							)




      def       a_ (							self							)  ->   Union[str, Any]:
           UpperCAmelCase       =   self.tokenizer_class(self.vocab_file							)

           UpperCAmelCase       =   ["""LAGVS""", """WCB"""]
           UpperCAmelCase       =   tokenizer(snake_case_				,    padding=snake_case_							)["""input_ids"""]

           self.assertListEqual(snake_case_				,    [[0, 4, 5, 6, 7, 8, 2], [0, 2_2, 2_3, 2_5, 2, 1, 1]]							)




      def       a_ (							self							)  ->   str:
           UpperCAmelCase       =   self.get_tokenizers(fast=snake_case_							)
           for tokenizer in tokenizers:
                with self.subTest(F"{tokenizer.__class__.__name__}"							):
                     UpperCAmelCase       =   """<unk>"""
                     UpperCAmelCase       =   """<mask>"""

                     UpperCAmelCase       =   tokenizer.tokenize(snake_case_							)
                     UpperCAmelCase       =   tokenizer.tokenize(snake_case_							)

                     self.assertEqual(len(snake_case_							)				,    1							)
                     self.assertEqual(len(snake_case_							)				,    1							)
                     self.assertEqual(token_a[0]				,    snake_case_							)
                     self.assertEqual(token_a[0]				,    snake_case_							)





"""simple docstring"""

SCREAMING_SNAKE_CASE_         =  {
    0: '''underwear''',
    1: '''pants''',
    2: '''belt''',
    3: '''suit''',
    4: '''shoe''',
    5: '''socks''',
    6: '''shirt''',
    7: '''tie''',
    8: '''watch''',
}

SCREAMING_SNAKE_CASE_         =  [[1, 4], [2, 4], [3], [], [], [4], [2, 7], [3], []]

SCREAMING_SNAKE_CASE_         =  [0 for x in range(len(graph))]
SCREAMING_SNAKE_CASE_         =  []




def       lowercase__  (   lowerCAmelCase			:   Optional[int]	,			lowerCAmelCase			:   Any	)	-> List[str]:






    """simple docstring"""




    UpperCAmelCase       =   1
    while stack:
        UpperCAmelCase       =   stack.pop()
        print(lowerCAmelCase	,			clothes[current_clothing]	)
        order += 1




def       lowercase__  (   lowerCAmelCase			:   List[Any]	,			lowerCAmelCase			:   Any	,			lowerCAmelCase			:   Dict	)	-> Optional[Any]:






    """simple docstring"""




    UpperCAmelCase       =   1
    for v in graph[u]:
        if not visited[v]:
            depth_first_search(lowerCAmelCase	,			lowerCAmelCase	,			lowerCAmelCase	)

    stack.append(lowerCAmelCase	)




def       lowercase__  (   lowerCAmelCase			:   Tuple	,			lowerCAmelCase			:   Dict	)	-> Optional[Any]:






    """simple docstring"""




    for v in range(len(lowerCAmelCase	)	):
        if not visited[v]:
            depth_first_search(lowerCAmelCase	,			lowerCAmelCase	,			lowerCAmelCase	)


if __name__ == "__main__":
   topological_sort(graph, visited)
   print(stack)
   print_stack(stack, clothes)



