




import enum
import inspect
from typing import Iterable, List, Optional, Tuple, Union







class  UpperCAmelCase(					enum.Enum					):



	"""simple docstring"""






	a     : Tuple	  =					"""timm"""
	a     : List[Any]	  =					"""transformers"""

def  snake_case_					(		SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    )      ->			Union[str, Any]:
							if stage_names is None:
														raise ValueError("Stage_names must be set for transformers backbones"    )

							if out_features is not None:
														if not isinstance(SCREAMING_SNAKE_CASE_    ,(list,)    ):
																					raise ValueError(F"""out_features must be a list {type(SCREAMING_SNAKE_CASE_    )}"""    )
														if any(feat not in stage_names for feat in out_features    ):
																					raise ValueError(F"""out_features must be a subset of stage_names: {stage_names} got {out_features}"""    )

							if out_indices is not None:
														if not isinstance(SCREAMING_SNAKE_CASE_    ,(list, tuple)    ):
																					raise ValueError(F"""out_indices must be a list or tuple, got {type(SCREAMING_SNAKE_CASE_    )}"""    )
														if any(idx >= len(SCREAMING_SNAKE_CASE_    ) for idx in out_indices    ):
																					raise ValueError("out_indices must be valid indices for stage_names {stage_names}, got {out_indices}"    )

							if out_features is not None and out_indices is not None:
														if len(SCREAMING_SNAKE_CASE_    ) != len(SCREAMING_SNAKE_CASE_    ):
																					raise ValueError("out_features and out_indices should have the same length if both are set"    )
														if out_features != [stage_names[idx] for idx in out_indices]:
																					raise ValueError("out_features and out_indices should correspond to the same stages if both are set"    )
def  snake_case_					(		SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    ,)      ->			Tuple:
							if out_indices is None and out_features is None:
														lowercase__  :	Any        =							[len(SCREAMING_SNAKE_CASE_    ) - 1]
														lowercase__  :	str        =							[stage_names[-1]]
							elif out_indices is None and out_features is not None:
														lowercase__  :	Union[str, Any]        =							[stage_names.index(SCREAMING_SNAKE_CASE_    ) for layer in out_features]
							elif out_features is None and out_indices is not None:
														lowercase__  :	List[str]        =							[stage_names[idx] for idx in out_indices]
							return out_features, out_indices
def  snake_case_					(		SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    ,)      ->			str:
							verify_out_features_out_indices(out_features=SCREAMING_SNAKE_CASE_    ,out_indices=SCREAMING_SNAKE_CASE_    ,stage_names=SCREAMING_SNAKE_CASE_    )
							lowercase__  :	List[Any]        =							_align_output_features_output_indices(
							    out_features=SCREAMING_SNAKE_CASE_    ,out_indices=SCREAMING_SNAKE_CASE_    ,stage_names=SCREAMING_SNAKE_CASE_    )
							# Verify that the aligned out_features and out_indices are valid
							verify_out_features_out_indices(out_features=SCREAMING_SNAKE_CASE_    ,out_indices=SCREAMING_SNAKE_CASE_    ,stage_names=SCREAMING_SNAKE_CASE_    )
							return output_features, output_indices







class  UpperCAmelCase:



	"""simple docstring"""






	a     : int	  =					None

	def    __a     (					self	,				lowerCamelCase    ) ->      str:





								"""simple docstring"""


								if getattr(self	,				"_backbone"	,				_A    ) is None:
															raise ValueError("self._backbone must be set before calling _init_timm_backbone"    )

								# These will diagree with the defaults for the transformers models e.g. for resnet50
								# the transformer model has out_features = ['stem', 'stage1', 'stage2', 'stage3', 'stage4']
								# the timm model has out_features = ['act', 'layer1', 'layer2', 'layer3', 'layer4']
								lowercase__  :	str        =							[stage['''module'''] for stage in self._backbone.feature_info.info]
								lowercase__  :	Dict        =							[stage['''num_chs'''] for stage in self._backbone.feature_info.info]
								lowercase__  :	int        =							self._backbone.feature_info.out_indices
								lowercase__  :	Tuple        =							self._backbone.feature_info.module_name()

								# We verify the out indices and out features are valid
								verify_out_features_out_indices(
								    out_features=_A	,				out_indices=_A	,				stage_names=self.stage_names    )
								lowercase__  :	str        =							out_features, out_indices

	def    __a     (					self	,				lowerCamelCase    ) ->      List[str]:





								"""simple docstring"""


								lowercase__  :	Union[str, Any]        =							getattr(_A	,				"stage_names"    )
								lowercase__  :	Dict        =							getattr(_A	,				"out_features"	,				_A    )
								lowercase__  :	str        =							getattr(_A	,				"out_indices"	,				_A    )

								lowercase__  :	Optional[Any]        =							stage_names
								lowercase__  :	Dict        =							get_aligned_output_features_output_indices(
								    out_features=_A	,				out_indices=_A	,				stage_names=_A    )
								# Number of channels for each stage. This is set in the transformer backbone model init
								lowercase__  :	Optional[int]        =							None

	def    __a     (					self	,				lowerCamelCase    ) ->      Optional[Any]:





								"""simple docstring"""


								lowercase__  :	List[str]        =							config

								lowercase__  :	Dict        =							getattr(_A	,				"use_timm_backbone"	,				_A    )
								lowercase__  :	List[str]        =							BackboneType.TIMM if self.use_timm_backbone else BackboneType.TRANSFORMERS

								if self.backbone_type == BackboneType.TIMM:
															self._init_timm_backbone(_A    )
								elif self.backbone_type == BackboneType.TRANSFORMERS:
															self._init_transformers_backbone(_A    )
								else:
															raise ValueError(f"""backbone_type {self.backbone_type} not supported."""    )

	@property
	def    __a     (					self    ) ->      Union[str, Any]:





								"""simple docstring"""


								return self._out_features

	@out_features.setter
	def    __a     (					self	,				lowerCamelCase    ) ->      List[str]:





								"""simple docstring"""


								lowercase__  :	Any        =							get_aligned_output_features_output_indices(
								    out_features=_A	,				out_indices=_A	,				stage_names=self.stage_names    )

	@property
	def    __a     (					self    ) ->      Any:





								"""simple docstring"""


								return self._out_indices

	@out_indices.setter
	def    __a     (					self	,				lowerCamelCase    ) ->      str:





								"""simple docstring"""


								lowercase__  :	List[str]        =							get_aligned_output_features_output_indices(
								    out_features=_A	,				out_indices=_A	,				stage_names=self.stage_names    )

	@property
	def    __a     (					self    ) ->      Union[str, Any]:





								"""simple docstring"""


								return {stage: self.num_features[i] for i, stage in enumerate(self.stage_names    )}

	@property
	def    __a     (					self    ) ->      List[Any]:





								"""simple docstring"""


								return [self.out_feature_channels[name] for name in self.out_features]

	def    __a     (					self	,				*lowerCamelCase	,				**lowerCamelCase    ) ->      Optional[int]:





								"""simple docstring"""


								lowercase__  :	int        =							dict(inspect.signature(self.forward    ).parameters    )
								lowercase__  :	Optional[int]        =							{k: v for k, v in kwargs.items() if k in signature}
								return self(*_A	,				**_A    )

	def    __a     (					self	,				lowerCamelCase	,				lowerCamelCase = None	,				lowerCamelCase = None	,				lowerCamelCase = None	,				) ->      Optional[int]:





								"""simple docstring"""


								raise NotImplementedError("This method should be implemented by the derived class."    )







	def    __a     (					self    ) ->      int:





								"""simple docstring"""


								lowercase__  :	Optional[int]        =							super().to_dict()
								lowercase__  :	str        =							output.pop("_out_features"    )
								lowercase__  :	str        =							output.pop("_out_indices"    )
								return output







class  UpperCAmelCase:



	"""simple docstring"""






	@property
	def    __a     (					self    ) ->      Union[str, Any]:





								"""simple docstring"""


								return self._out_features

	@out_features.setter
	def    __a     (					self	,				lowerCamelCase    ) ->      Tuple:





								"""simple docstring"""


								lowercase__  :	Optional[int]        =							get_aligned_output_features_output_indices(
								    out_features=_A	,				out_indices=_A	,				stage_names=self.stage_names    )

	@property
	def    __a     (					self    ) ->      Dict:





								"""simple docstring"""


								return self._out_indices

	@out_indices.setter
	def    __a     (					self	,				lowerCamelCase    ) ->      List[Any]:





								"""simple docstring"""


								lowercase__  :	Tuple        =							get_aligned_output_features_output_indices(
								    out_features=_A	,				out_indices=_A	,				stage_names=self.stage_names    )







	def    __a     (					self    ) ->      str:





								"""simple docstring"""


								lowercase__  :	int        =							super().to_dict()
								lowercase__  :	str        =							output.pop("_out_features"    )
								lowercase__  :	Dict        =							output.pop("_out_indices"    )
								return output





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

import pytest
import requests

__a  :		str		     =   pathlib.Path.cwd().joinpath('''project_euler''')
__a  :		Tuple		     =   pathlib.Path.cwd().joinpath(
    '''scripts''', '''project_euler_answers.json'''
)

with open(PROJECT_EULER_ANSWERS_PATH) as file_handle:
						__a  :		dict[str, str]		     =   json.load(file_handle)
def  snake_case_					(		SCREAMING_SNAKE_CASE_    )      ->			ModuleType:
							lowercase__  :	List[str]        =							importlib.util.spec_from_file_location(file_path.name    ,str(SCREAMING_SNAKE_CASE_    )    )
							lowercase__  :	int        =							importlib.util.module_from_spec(SCREAMING_SNAKE_CASE_    )  # type: ignore
							spec.loader.exec_module(SCREAMING_SNAKE_CASE_    )  # type: ignore
							return module
def  snake_case_					(		)      ->			list[pathlib.Path]:
							lowercase__  :	List[str]        =							[]
							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  snake_case_					(		)      ->			str:
							with open(os.environ["GITHUB_EVENT_PATH"]    ) as file:
														lowercase__  :	str        =							json.load(SCREAMING_SNAKE_CASE_    )
							return event["pull_request"]["url"] + "/files"
def  snake_case_					(		)      ->			list[pathlib.Path]:
							lowercase__  :	Optional[Any]        =							[]
							lowercase__  :	Dict        =							{
							    "Accept": "application/vnd.github.v3+json",
							    "Authorization": "token " + os.environ["GITHUB_TOKEN"],
							}
							lowercase__  :	Union[str, Any]        =							requests.get(get_files_url()    ,headers=SCREAMING_SNAKE_CASE_    ).json()
							for file in files:
														lowercase__  :	Optional[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(SCREAMING_SNAKE_CASE_    )
							return solution_file_paths
def  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  snake_case_					(		SCREAMING_SNAKE_CASE_    )      ->			None:
							lowercase__  :	str        =							solution_path.parent.name[8:].zfill(3    )
							lowercase__  :	str        =							PROBLEM_ANSWERS[problem_number]
							lowercase__  :	Optional[Any]        =							convert_path_to_module(SCREAMING_SNAKE_CASE_    )
							lowercase__  :	str        =							str(solution_module.solution()    )  # type: ignore
							lowercase__  :	List[str]        =							hashlib.shaaaa(answer.encode()    ).hexdigest()
							assert (
							    answer == expected
							), F"""Expected solution to {problem_number} to have hash {expected}, got {answer}"""