


"""simple docstring"""






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

import pytest
import requests

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

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




def        A_					(					UpperCAmelCase__				)     ->     ModuleType:
   a   :	Union[str, Any]						=    importlib.util.spec_from_file_location(file_path.name       ,   str(UpperCAmelCase__				)				)
   a   :	Union[str, Any]						=    importlib.util.module_from_spec(UpperCAmelCase__				)  # type: ignore
   spec.loader.exec_module(UpperCAmelCase__				)  # type: ignore
   return module




def        A_					(					)     ->     list[pathlib.Path]:
   a   :	Union[str, Any]						=    []
   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(UpperCAmelCase__				)
   return solution_file_paths




def        A_					(					)     ->     str:
   with open(os.environ['GITHUB_EVENT_PATH']				) as file:
      a   :	int						=    json.load(UpperCAmelCase__				)
   return event["pull_request"]["url"] + "/files"




def        A_					(					)     ->     list[pathlib.Path]:
   a   :	Optional[Any]						=    []
   a   :	Any						=    {
       'Accept': 'application/vnd.github.v3+json',
       'Authorization': 'token ' + os.environ['GITHUB_TOKEN'],
   }
   a   :	Union[str, Any]						=    requests.get(get_files_url()       ,   headers=UpperCAmelCase__				).json()
   for file in files:
      a   :	List[str]						=    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(UpperCAmelCase__				)
   return solution_file_paths




def        A_					(					)     ->     list[pathlib.Path]:
   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 UpperCAmelCase__				: F'{path.parent.name}/{path.name}'       ,   )
def        A_					(					UpperCAmelCase__				)     ->     None:
   a   :	str						=    solution_path.parent.name[8:].zfill(3				)
   a   :	str						=    PROBLEM_ANSWERS[problem_number]
   a   :	Optional[int]						=    convert_path_to_module(UpperCAmelCase__				)
   a   :	Dict						=    str(solution_module.solution()				)  # type: ignore
   a   :	Optional[int]						=    hashlib.shaaaa(answer.encode()				).hexdigest()
   assert (
       answer == expected
   ), F'Expected solution to {problem_number} to have hash {expected}, got {answer}'









"""simple docstring"""






from transformers.models.cpm.tokenization_cpm import CpmTokenizer
from transformers.testing_utils import custom_tokenizers

from ..xlnet.test_modeling_xlnet import XLNetModelTest


@custom_tokenizers
class 	A_       (     _UpperCAmelCase   ):





  """simple docstring"""

  def 							lowercase_     (						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase  ,					__UpperCAmelCase  ,					__UpperCAmelCase  ,					__UpperCAmelCase						)				->					int:
     return True






  def 							lowercase_     (						self						)				->					int:
     a   :	Optional[int]						=    CpmTokenizer.from_pretrained('TsinghuaAI/CPM-Generate'						)
     a   :	Any						=    'Hugging Face大法好，谁用谁知道。'
     a   :	Tuple						=    'Hugging Face大法好,谁用谁知道。<unk>'
     a   :	Optional[int]						=    '▁Hu gg ing ▁ ▂ ▁F ace ▁大法 ▁好 ▁ , ▁谁 ▁用 ▁谁 ▁知 道 ▁ 。'.split()

     a   :	Optional[int]						=    tokenizer.tokenize(__UpperCAmelCase						)
     self.assertListEqual(__UpperCAmelCase  ,					__UpperCAmelCase						)

     a   :	Optional[Any]						=    tokens + [tokenizer.unk_token]

     a   :	str						=    [1_37_89, 1_32_83, 14_21, 8, 10, 11_64, 1_36_08, 1_65_28, 63, 8, 9, 4_40, 1_08, 4_40, 1_21, 90, 8, 12, 0]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase						)  ,					__UpperCAmelCase						)

     a   :	List[Any]						=    tokenizer.decode(__UpperCAmelCase						)
     self.assertEqual(__UpperCAmelCase  ,					__UpperCAmelCase						)





