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

import pytest
import requests

SCREAMING_SNAKE_CASE__				=							pathlib.Path.cwd().joinpath("""project_euler""")
SCREAMING_SNAKE_CASE__				=							pathlib.Path.cwd().joinpath(
    """scripts""", """project_euler_answers.json"""
)

with open(PROJECT_EULER_ANSWERS_PATH) as file_handle:
							SCREAMING_SNAKE_CASE__				=							json.load(file_handle)




def 				__SCREAMING_SNAKE_CASE  (						SCREAMING_SNAKE_CASE			: pathlib.Path     )	->		ModuleType:
				__lowercase								=   importlib.util.spec_from_file_location(file_path.name       ,				str(SCREAMING_SNAKE_CASE     )     )
				__lowercase								=   importlib.util.module_from_spec(SCREAMING_SNAKE_CASE     )  # type: ignore
				spec.loader.exec_module(SCREAMING_SNAKE_CASE     )  # type: ignore
				return module




def 				__SCREAMING_SNAKE_CASE  (						)	->		list[pathlib.Path]:
				__lowercase								=   []
				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(SCREAMING_SNAKE_CASE     )
				return solution_file_paths




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




def 				__SCREAMING_SNAKE_CASE  (						)	->		list[pathlib.Path]:
				__lowercase								=   []
				__lowercase								=   {
				    'Accept': 'application/vnd.github.v3+json',
				    'Authorization': 'token ' + os.environ['GITHUB_TOKEN'],
				}
				__lowercase								=   requests.get(get_files_url()       ,				headers=SCREAMING_SNAKE_CASE     ).json()
				for file in files:
								__lowercase								=   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(SCREAMING_SNAKE_CASE     )
				return solution_file_paths




def 				__SCREAMING_SNAKE_CASE  (						)	->		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 SCREAMING_SNAKE_CASE     : F"""{path.parent.name}/{path.name}"""       ,				)
def 				__SCREAMING_SNAKE_CASE  (						SCREAMING_SNAKE_CASE			: pathlib.Path     )	->		None:
				__lowercase								=   solution_path.parent.name[8:].zfill(3     )
				__lowercase								=   PROBLEM_ANSWERS[problem_number]
				__lowercase								=   convert_path_to_module(SCREAMING_SNAKE_CASE     )
				__lowercase								=   str(solution_module.solution()     )  # type: ignore
				__lowercase								=   hashlib.shaaaa(answer.encode()     ).hexdigest()
				assert (
				    answer == expected
				), F"""Expected solution to {problem_number} to have hash {expected}, got {answer}"""







from ctypes import c_float, sizeof
from enum import Enum
from typing import TYPE_CHECKING, Optional, Union


if TYPE_CHECKING:
							from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore
class       A__  (		lowerCAmelCase__							):
							lowerCAmelCase__						:		Any            =				c_float





							@property
							def      a__					(					self    :  List[str]							)		->						int:



											"""simple docstring"""


											return sizeof(self.value							)






def 				__SCREAMING_SNAKE_CASE  (						SCREAMING_SNAKE_CASE			: int       ,				SCREAMING_SNAKE_CASE			: int       ,				SCREAMING_SNAKE_CASE			: int = 0     )	->		int:
				# < 0 is possible if using a dynamic axis
				if dimension <= 0:
								__lowercase								=   fixed_dimension

				dimension -= num_token_to_add
				return dimension




def 				__SCREAMING_SNAKE_CASE  (						SCREAMING_SNAKE_CASE			: int       ,				SCREAMING_SNAKE_CASE			: ParameterFormat     )	->		int:
				return num_parameters * dtype.size




def 				__SCREAMING_SNAKE_CASE  (						SCREAMING_SNAKE_CASE			: str     )	->		Optional[Union["AutoTokenizer", "AutoFeatureExtractor", "AutoProcessor"]]:
				from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

				try:
								return AutoProcessor.from_pretrained(SCREAMING_SNAKE_CASE     )
				except (ValueError, OSError, KeyError):
								__lowercase						,   __lowercase								=   None, None
								try:
												__lowercase								=   AutoTokenizer.from_pretrained(SCREAMING_SNAKE_CASE     )
								except (OSError, KeyError):
												pass
								try:
												__lowercase								=   AutoFeatureExtractor.from_pretrained(SCREAMING_SNAKE_CASE     )
								except (OSError, KeyError):
												pass

								if tokenizer is not None and feature_extractor is not None:
												raise ValueError(
												    F"""Couldn't auto-detect preprocessor for {model_name}. Found both a tokenizer and a feature extractor."""     )
								elif tokenizer is None and feature_extractor is None:
												return None
								elif tokenizer is not None:
												return tokenizer
								else:
												return feature_extractor





