
import hashlib
import importlib.util
import json
import os
import pathlib
from types import ModuleType

import pytest
import requests

lowercase__				:				List[Any]						=      pathlib.Path.cwd().joinpath("project_euler")
lowercase__				:				List[str]						=      pathlib.Path.cwd().joinpath(
    "scripts", "project_euler_answers.json"
)

with open(PROJECT_EULER_ANSWERS_PATH) as file_handle:
				lowercase__				:				dict[str, str]						=      json.load(file_handle)




def 						A_			(				snake_case				: pathlib.Path			)   ->     ModuleType:



						'''simple docstring'''

						__UpperCamelCase  	=      importlib.util.spec_from_file_location(file_path.name			,   str(snake_case			)			)
						__UpperCamelCase  	=      importlib.util.module_from_spec(snake_case			)  # type: ignore
						spec.loader.exec_module(snake_case			)  # type: ignore
						return module




def 						A_			(				)   ->     list[pathlib.Path]:



						'''simple docstring'''

						__UpperCamelCase  	=      []
						for problem_dir_path in PROJECT_EULER_DIR_PATH.iterdir():
												if problem_dir_path.is_file() or problem_dir_path.name.startswith('''_'''			):
																		continue
												for file_path in problem_dir_path.iterdir():
																		if file_path.suffix != ".py" or file_path.name.startswith(('''_''', '''test''')			):
																								continue
																		solution_file_paths.append(snake_case			)
						return solution_file_paths




def 						A_			(				)   ->     str:



						'''simple docstring'''

						with open(os.environ['''GITHUB_EVENT_PATH''']			) as file:
												__UpperCamelCase  	=      json.load(snake_case			)
						return event["pull_request"]["url"] + "/files"




def 						A_			(				)   ->     list[pathlib.Path]:



						'''simple docstring'''

						__UpperCamelCase  	=      []
						__UpperCamelCase  	=      {
						    '''Accept''': '''application/vnd.github.v3+json''',
						    '''Authorization''': '''token ''' + os.environ['''GITHUB_TOKEN'''],
						}
						__UpperCamelCase  	=      requests.get(get_files_url()			,   headers=snake_case			).json()
						for file in files:
												__UpperCamelCase  	=      pathlib.Path.cwd().joinpath(file['''filename''']			)
												if (
												    filepath.suffix != ".py"
												    or filepath.name.startswith(('''_''', '''test''')			)
												    or not filepath.name.startswith('''sol'''			)
												):
																		continue
												solution_file_paths.append(snake_case			)
						return solution_file_paths




def 						A_			(				)   ->     list[pathlib.Path]:



						'''simple docstring'''

						if os.environ.get('''CI'''			) and os.environ.get('''GITHUB_EVENT_NAME'''			) == "pull_request":
												# Return only if there are any, otherwise default to all solutions
												if filepaths := added_solution_file_path():
																		return filepaths
						return all_solution_file_paths()




@pytest.mark.parametrize(
    '''solution_path'''			,   collect_solution_file_paths()			,   ids=lambda snake_case			: f"{path.parent.name}/{path.name}"			,   )
def 						A_			(				snake_case				: pathlib.Path			)   ->     None:



						'''simple docstring'''

						__UpperCamelCase  	=      solution_path.parent.name[8:].zfill(3			)
						__UpperCamelCase  	=      PROBLEM_ANSWERS[problem_number]
						__UpperCamelCase  	=      convert_path_to_module(snake_case			)
						__UpperCamelCase  	=      str(solution_module.solution()			)  # type: ignore
						__UpperCamelCase  	=      hashlib.shaaaa(answer.encode()			).hexdigest()
						assert (
						    answer == expected
						), f"Expected solution to {problem_number} to have hash {expected}, got {answer}"







import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin


class      lowerCamelCase_ (			_lowerCAmelCase	,				unittest.TestCase):
 _lowerCAmelCase									=	SpeechaTextaTokenizer
 _lowerCAmelCase									=	False




 def     a       (			self							):
   super().setUp()

   __UpperCAmelCase	:  List[Any]		=     '<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab'.split(' '							)
   __UpperCAmelCase	:  Dict		=     ['he re</w> 123', 'here a 1456']
   __UpperCAmelCase	:  Optional[int]		=     dict(zip(_UpperCAmelCase  ,  range(len(_UpperCAmelCase							)							)							)							)

   __UpperCAmelCase	:  List[Any]		=     {'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}

   __UpperCAmelCase	:  Tuple		=     tempfile.mkdtemp()
   __UpperCAmelCase	:  str		=     os.path.join(self.tmpdirname  ,  VOCAB_FILES_NAMES['vocab_file']							)
   __UpperCAmelCase	:  List[Any]		=     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(_UpperCAmelCase							) + '\n'							)

   with open(self.merges_file  ,  'w'							) as fp:
     fp.write('\n'.join(_UpperCAmelCase							)							)




 def     a       (			self							):
   __UpperCAmelCase	:  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]  ,  'vocab'							)
   self.assertEqual(len(_UpperCAmelCase							)  ,  14							)




 def     a       (			self							):
   self.assertEqual(self.get_tokenizer().vocab_size  ,  14							)




 def     a       (			self							):
   __UpperCAmelCase	:  int		=     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname							)

   # make sure @@ is correctly concatenated
   __UpperCAmelCase	:  int		=     [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
   __UpperCAmelCase	:  List[str]		=     tokenizer.decode(_UpperCAmelCase							)

   self.assertTrue(output_string == 'herecouple words ofthe'							)




 def     a       (			self							):
   __UpperCAmelCase	:  Union[str, Any]		=     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname							)

   with tempfile.TemporaryDirectory() as tmp_dirname:
     tokenizer.save_pretrained(_UpperCAmelCase							)
     os.remove(os.path.join(_UpperCAmelCase  ,  'merges.txt'							)							)

     # load tokenizer without merges file should not throw an error
     __UpperCAmelCase	:  Optional[int]		=     SpeechaTextaTokenizer.from_pretrained(_UpperCAmelCase							)

   with tempfile.TemporaryDirectory() as tmp_dirname:
     # save tokenizer and load again
     tokenizer.save_pretrained(_UpperCAmelCase							)
     __UpperCAmelCase	:  Optional[int]		=     SpeechaTextaTokenizer.from_pretrained(_UpperCAmelCase							)

   self.assertIsNotNone(_UpperCAmelCase							)




 def     a       (			self							):
   if not self.test_slow_tokenizer:
     return

   __UpperCAmelCase	:  List[Any]		=     inspect.signature(self.tokenizer_class.__init__							)
   __UpperCAmelCase	:  List[Any]		=     self.get_tokenizer()

   for parameter_name, parameter in signature.parameters.items():
     if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
       self.assertIn(_UpperCAmelCase  ,  tokenizer.init_kwargs							)





