code: 
  '''simple docstring'''
  
  import hashlib
  import importlib.util
  import json
  import os
  import pathlib
  from types import ModuleType
  
  import pytest
  import requests
  
  UpperCamelCase_     			=       pathlib.Path.cwd().joinpath("""project_euler""")
  UpperCamelCase_     			=       pathlib.Path.cwd().joinpath(
      """scripts""", """project_euler_answers.json"""
  )
  
  with open(PROJECT_EULER_ANSWERS_PATH) as file_handle:
        UpperCamelCase_     			=       json.load(file_handle)
  
  
  def 	_UpperCAmelCase				(  _lowerCamelCase						:       pathlib.Path		)    ->						ModuleType:
    _lowerCAmelCase       :  List[Any]   				=					importlib.util.spec_from_file_location(file_path.name  ,      str(_lowerCamelCase		)		)
    _lowerCAmelCase       :  Union[str, Any]   				=					importlib.util.module_from_spec(_lowerCamelCase		)  # type: ignore
    spec.loader.exec_module(_lowerCamelCase		)  # type: ignore
    return module
  
  
  def 	_UpperCAmelCase				(  )    ->						list[pathlib.Path]:
    _lowerCAmelCase       :  str   				=					[]
    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(_lowerCamelCase		)
    return solution_file_paths
  
  
  def 	_UpperCAmelCase				(  )    ->						str:
    with open(os.environ["""GITHUB_EVENT_PATH"""]		) as file:
      _lowerCAmelCase       :  List[str]   				=					json.load(_lowerCamelCase		)
    return event["pull_request"]["url"] + "/files"
  
  
  def 	_UpperCAmelCase				(  )    ->						list[pathlib.Path]:
    _lowerCAmelCase       :  str   				=					[]
    _lowerCAmelCase       :  List[Any]   				=					{
        """Accept""": """application/vnd.github.v3+json""",
        """Authorization""": """token """ + os.environ["""GITHUB_TOKEN"""],
    }
    _lowerCAmelCase       :  int   				=					requests.get(get_files_url()  ,      headers=_lowerCamelCase		).json()
    for file in files:
      _lowerCAmelCase       :  Any   				=					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(_lowerCamelCase		)
    return solution_file_paths
  
  
  def 	_UpperCAmelCase				(  )    ->						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 _lowerCamelCase		: f'{path.parent.name}/{path.name}'  ,      )
  def 	_UpperCAmelCase				(  _lowerCamelCase						:       pathlib.Path		)    ->						None:
    _lowerCAmelCase       :  str   				=					solution_path.parent.name[8:].zfill(3		)
    _lowerCAmelCase       :  str   				=					PROBLEM_ANSWERS[problem_number]
    _lowerCAmelCase       :  List[Any]   				=					convert_path_to_module(_lowerCamelCase		)
    _lowerCAmelCase       :  str   				=					str(solution_module.solution()		)  # type: ignore
    _lowerCAmelCase       :  Optional[Any]   				=					hashlib.shaaaa(answer.encode()		).hexdigest()
    assert (
        answer == expected
    ), f'Expected solution to {problem_number} to have hash {expected}, got {answer}'
  
  
  
style_context: 
  '''simple docstring'''
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_flax_available,
      is_tf_available,
      is_torch_available,
  )
  
  
  UpperCamelCase_     			=       {
      """configuration_gptsan_japanese""": ["""GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTSanJapaneseConfig"""],
      """tokenization_gptsan_japanese""": ["""GPTSanJapaneseTokenizer"""],
  }
  
  try:
       if not is_torch_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       UpperCamelCase_     			=       [
           """GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """GPTSanJapaneseForConditionalGeneration""",
           """GPTSanJapaneseModel""",
           """GPTSanJapanesePreTrainedModel""",
       ]
       UpperCamelCase_     			=       [
           """GPTSanJapaneseTokenizer""",
       ]
  
  
  if TYPE_CHECKING:
       from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
       from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer
  
       try:
            if not is_torch_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .modeling_gptsan_japanese import (
                GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
                GPTSanJapaneseForConditionalGeneration,
                GPTSanJapaneseModel,
                GPTSanJapanesePreTrainedModel,
            )
            from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer
  
  
  else:
       import sys
  
       UpperCamelCase_     			=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  
  
  