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

import pytest
import requests

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

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

def        SCREAMING_SNAKE_CASE_					(						snake_case__							)					->     ModuleType:
							lowerCAmelCase     		=		importlib.util.spec_from_file_location(file_path.name       ,  str(snake_case__							)							)
							lowerCAmelCase     		=		importlib.util.module_from_spec(snake_case__							)  # type: ignore
							spec.loader.exec_module(snake_case__							)  # type: ignore
							return module

def        SCREAMING_SNAKE_CASE_					(						)					->     list[pathlib.Path]:
							lowerCAmelCase     		=		[]
							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(snake_case__							)
							return solution_file_paths

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

def        SCREAMING_SNAKE_CASE_					(						)					->     list[pathlib.Path]:
							lowerCAmelCase     		=		[]
							lowerCAmelCase     		=		{
							    '''Accept''': '''application/vnd.github.v3+json''',
							    '''Authorization''': '''token ''' + os.environ['''GITHUB_TOKEN'''],
							}
							lowerCAmelCase     		=		requests.get(get_files_url()       ,  headers=snake_case__							).json()
							for file in files:
														lowerCAmelCase     		=		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(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 snake_case__							: f"{path.parent.name}/{path.name}"       ,  )
def        SCREAMING_SNAKE_CASE_					(						snake_case__							)					->     None:
							lowerCAmelCase     		=		solution_path.parent.name[8:].zfill(3							)
							lowerCAmelCase     		=		PROBLEM_ANSWERS[problem_number]
							lowerCAmelCase     		=		convert_path_to_module(snake_case__							)
							lowerCAmelCase     		=		str(solution_module.solution()							)  # type: ignore
							lowerCAmelCase     		=		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_tf_available,
    is_torch_available,
    is_vision_available,
)


lowercase__      :    Dict          =     {
    '''configuration_sam''': [
        '''SAM_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''SamConfig''',
        '''SamMaskDecoderConfig''',
        '''SamPromptEncoderConfig''',
        '''SamVisionConfig''',
    ],
    '''processing_sam''': ['''SamProcessor'''],
}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase__      :    Dict          =     [
	    '''SAM_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''SamModel''',
	    '''SamPreTrainedModel''',
	]
try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase__      :    str          =     [
	    '''TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TFSamModel''',
	    '''TFSamPreTrainedModel''',
	]
try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase__      :    Dict          =     ['''SamImageProcessor''']


if TYPE_CHECKING:
	from .configuration_sam import (
	    SAM_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    SamConfig,
	    SamMaskDecoderConfig,
	    SamPromptEncoderConfig,
	    SamVisionConfig,
	)
	from .processing_sam import SamProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_sam import SAM_PRETRAINED_MODEL_ARCHIVE_LIST, SamModel, SamPreTrainedModel

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_sam import TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST, TFSamModel, TFSamPreTrainedModel

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .image_processing_sam import SamImageProcessor

else:
	import sys

	lowercase__      :    Dict          =     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



