


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

import pytest
import requests

__magic_name__       					=      pathlib.Path.cwd().joinpath('''project_euler''')
__magic_name__       					=      pathlib.Path.cwd().joinpath(
    '''scripts''', '''project_euler_answers.json'''
)

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







def     __magic_name__  (      lowerCAmelCase_):
	'''simple docstring'''


	lowerCamelCase_			:							Union[str, Any]      =       importlib.util.spec_from_file_location(file_path.name      ,					str(lowerCAmelCase_))
	lowerCamelCase_			:							str      =       importlib.util.module_from_spec(lowerCAmelCase_)  # type: ignore
	spec.loader.exec_module(lowerCAmelCase_)  # type: ignore
	return module







def     __magic_name__  (      ):
	'''simple docstring'''


	lowerCamelCase_			:							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(lowerCAmelCase_)
	return solution_file_paths







def     __magic_name__  (      ):
	'''simple docstring'''


	with open(os.environ["GITHUB_EVENT_PATH"]) as file:
		lowerCamelCase_			:							Optional[int]      =       json.load(lowerCAmelCase_)
	return event["pull_request"]["url"] + "/files"







def     __magic_name__  (      ):
	'''simple docstring'''


	lowerCamelCase_			:							Optional[int]      =       []
	lowerCamelCase_			:							Optional[Any]      =       {
	    "Accept": "application/vnd.github.v3+json",
	    "Authorization": "token " + os.environ["GITHUB_TOKEN"],
	}
	lowerCamelCase_			:							List[str]      =       requests.get(get_files_url()      ,					headers=lowerCAmelCase_).json()
	for file in files:
		lowerCamelCase_			:							Dict      =       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     __magic_name__  (      ):
	'''simple docstring'''


	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     __magic_name__  (      lowerCAmelCase_):
	'''simple docstring'''


	lowerCamelCase_			:							str      =       solution_path.parent.name[8:].zfill(3)
	lowerCamelCase_			:							str      =       PROBLEM_ANSWERS[problem_number]
	lowerCamelCase_			:							int      =       convert_path_to_module(lowerCAmelCase_)
	lowerCamelCase_			:							Dict      =       str(solution_module.solution())  # type: ignore
	lowerCamelCase_			:							List[Any]      =       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_torch_available, is_vision_available


__magic_name__       					=      {'''configuration_detr''': ['''DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DetrConfig''', '''DetrOnnxConfig''']}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__magic_name__       					=      ['''DetrFeatureExtractor''']
							__magic_name__       					=      ['''DetrImageProcessor''']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__magic_name__       					=      [
							    '''DETR_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''DetrForObjectDetection''',
							    '''DetrForSegmentation''',
							    '''DetrModel''',
							    '''DetrPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_detr import DetrFeatureExtractor
														from .image_processing_detr import DetrImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_detr import (
														    DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
														    DetrForObjectDetection,
														    DetrForSegmentation,
														    DetrModel,
														    DetrPreTrainedModel,
														)

else:
							import sys

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

