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 					SCREAMING_SNAKE_CASE_			(		lowerCAmelCase_: Optional[int]     ):
						snake_case_     :			Optional[Any]       =       importlib.util.spec_from_file_location(file_path.name ,	str(lowerCAmelCase_     )     )
						snake_case_     :			List[str]       =       importlib.util.module_from_spec(lowerCAmelCase_     )  # type: ignore
						spec.loader.exec_module(lowerCAmelCase_     )  # type: ignore
						return module






def 					SCREAMING_SNAKE_CASE_			(		):
						snake_case_     :			Optional[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 					SCREAMING_SNAKE_CASE_			(		):







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






def 					SCREAMING_SNAKE_CASE_			(		):
						snake_case_     :			int       =       []
						snake_case_     :			str       =       {
						    "Accept": "application/vnd.github.v3+json",
						    "Authorization": "token " + os.environ["GITHUB_TOKEN"],
						}
						snake_case_     :			Union[str, Any]       =       requests.get(get_files_url() ,	headers=lowerCAmelCase_     ).json()
						for file in files:
												snake_case_     :			Tuple       =       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 					SCREAMING_SNAKE_CASE_			(		):







						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 					SCREAMING_SNAKE_CASE_			(		lowerCAmelCase_: Any     ):
						snake_case_     :			Dict       =       solution_path.parent.name[8:].zfill(3     )
						snake_case_     :			List[Any]       =       PROBLEM_ANSWERS[problem_number]
						snake_case_     :			str       =       convert_path_to_module(lowerCAmelCase_     )
						snake_case_     :			str       =       str(solution_module.solution()     )  # type: ignore
						snake_case_     :			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_tokenizers_available, is_torch_available


UpperCAmelCase							=       {
    "configuration_nystromformer": ["NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "NystromformerConfig"],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase							=       [
         "NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
         "NystromformerForMaskedLM",
         "NystromformerForMultipleChoice",
         "NystromformerForQuestionAnswering",
         "NystromformerForSequenceClassification",
         "NystromformerForTokenClassification",
         "NystromformerLayer",
         "NystromformerModel",
         "NystromformerPreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_nystromformer import (
              NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
              NystromformerForMaskedLM,
              NystromformerForMultipleChoice,
              NystromformerForQuestionAnswering,
              NystromformerForSequenceClassification,
              NystromformerForTokenClassification,
              NystromformerLayer,
              NystromformerModel,
              NystromformerPreTrainedModel,
          )


else:
     import sys

     UpperCAmelCase							=       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



