



'''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 						__lowerCamelCase       (      __magic_name__	:  pathlib.Path						):
							a__:       int											=importlib.util.spec_from_file_location(file_path.name     , str(__magic_name__						)						)
							a__:       Optional[int]											=importlib.util.module_from_spec(__magic_name__						)  # type: ignore
							spec.loader.exec_module(__magic_name__						)  # type: ignore
							return module





def 						__lowerCamelCase       (      ):
							a__:       int											=[]
							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(__magic_name__						)
							return solution_file_paths





def 						__lowerCamelCase       (      ):
							with open(os.environ["GITHUB_EVENT_PATH"]						) as file:
														a__:       int											=json.load(__magic_name__						)
							return event["pull_request"]["url"] + "/files"





def 						__lowerCamelCase       (      ):
							a__:       Union[str, Any]											=[]
							a__:       int											={
							    "Accept": "application/vnd.github.v3+json",
							    "Authorization": "token " + os.environ["GITHUB_TOKEN"],
							}
							a__:       List[str]											=requests.get(get_files_url()     , headers=__magic_name__						).json()
							for file in files:
														a__:       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(__magic_name__						)
							return solution_file_paths





def 						__lowerCamelCase       (      ):
							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 __magic_name__						: F"{path.parent.name}/{path.name}"     , )
def 						__lowerCamelCase       (      __magic_name__	:  pathlib.Path						):
							a__:       str											=solution_path.parent.name[8:].zfill(3						)
							a__:       str											=PROBLEM_ANSWERS[problem_number]
							a__:       int											=convert_path_to_module(__magic_name__						)
							a__:       Any											=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}"










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__UpperCAmelCase						  =     {
    '''configuration_splinter''': ['''SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SplinterConfig'''],
    '''tokenization_splinter''': ['''SplinterTokenizer'''],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCAmelCase						  =     ['''SplinterTokenizerFast''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCAmelCase						  =     [
		    '''SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''SplinterForQuestionAnswering''',
		    '''SplinterForPreTraining''',
		    '''SplinterLayer''',
		    '''SplinterModel''',
		    '''SplinterPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_splinter import SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP, SplinterConfig
		from .tokenization_splinter import SplinterTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_splinter_fast import SplinterTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_splinter import (
				    SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SplinterForPreTraining,
				    SplinterForQuestionAnswering,
				    SplinterLayer,
				    SplinterModel,
				    SplinterPreTrainedModel,
				)


else:
		import sys

		__UpperCAmelCase						  =     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





