"""simple docstring"""






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

import pytest
import requests

lowerCAmelCase__    :    Tuple			=      pathlib.Path.cwd().joinpath('project_euler')
lowerCAmelCase__    :    Optional[int]			=      pathlib.Path.cwd().joinpath(
    'scripts', 'project_euler_answers.json'
)

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



def     a_		(   lowerCamelCase			):
				UpperCAmelCase__			 =				importlib.util.spec_from_file_location(file_path.name   ,     str(lowerCamelCase			)			)
				UpperCAmelCase__			 =				importlib.util.module_from_spec(lowerCamelCase			)  # type: ignore
				spec.loader.exec_module(lowerCamelCase			)  # type: ignore
				return module



def     a_		(   ):
				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(lowerCamelCase			)
				return solution_file_paths



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



def     a_		(   ):
				UpperCAmelCase__			 =				[]
				UpperCAmelCase__			 =				{
				    'Accept': 'application/vnd.github.v3+json',
				    'Authorization': 'token ' + os.environ['GITHUB_TOKEN'],
				}
				UpperCAmelCase__			 =				requests.get(get_files_url()   ,     headers=lowerCamelCase			).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(lowerCamelCase			)
				return solution_file_paths



def     a_		(   ):
				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     a_		(   lowerCamelCase			):
				UpperCAmelCase__			 =				solution_path.parent.name[8:].zfill(3			)
				UpperCAmelCase__			 =				PROBLEM_ANSWERS[problem_number]
				UpperCAmelCase__			 =				convert_path_to_module(lowerCamelCase			)
				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}'''




"""simple docstring"""






import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

lowerCAmelCase__    :    Union[str, Any]			=      [(1,)]



def     a_		(   ):
				UpperCAmelCase__			 =				bool(os.getenv('RUN_SLOW'   ,     0			)			)
				if run_slow:
								assert True
				else:
								assert False, "should have been skipped"



def     a_		(   ):
				UpperCAmelCase__			 =				bool(os.getenv('RUN_SLOW'   ,     0			)			)
				if run_slow and torch_device == "cuda":
								assert True
				else:
								assert False, "should have been skipped"
@require_torch
class 							snake_case			(					unittest.TestCase							):




					"""simple docstring"""

					@slow
					@require_torch_gpu
					def 						__lowerCAmelCase		(							self  :      Optional[Any]     ):
									check_slow_torch_cuda()







					@require_torch_gpu
					@slow
					def 						__lowerCAmelCase		(							self  :      Any     ):
									check_slow_torch_cuda()







					@parameterized.expand(lowerCamelCase__     )
					@slow
					def 						__lowerCAmelCase		(							self  :      Union[str, Any]       ,lowerCamelCase__  :      str=None     ):
									check_slow()






@slow
@require_torch_gpu
def     a_		(   ):
				check_slow_torch_cuda()



@require_torch_gpu
@slow
def     a_		(   ):
				check_slow_torch_cuda()



@slow
@pytest.mark.parametrize('param'   ,     [1]			)
def     a_		(   lowerCamelCase			):
				check_slow()







@pytest.mark.parametrize('param'   ,     [1]			)
@slow
def     a_		(   lowerCamelCase			):
				check_slow()



