





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

import pytest
import requests

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

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





def 		UpperCamelCase       (							_lowerCamelCase      :      Dict ):
    A__       =    importlib.util.spec_from_file_location(file_path.name		, str(_lowerCamelCase ) )
    A__       =    importlib.util.module_from_spec(_lowerCamelCase )  # type: ignore
    spec.loader.exec_module(_lowerCamelCase )  # type: ignore
    return module





def 		UpperCamelCase       (							):
    A__       =    []
    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 		UpperCamelCase       (							):
    with open(os.environ["GITHUB_EVENT_PATH"] ) as file:
        A__       =    json.load(_lowerCamelCase )
    return event["pull_request"]["url"] + "/files"





def 		UpperCamelCase       (							):
    A__       =    []
    A__       =    {
        "Accept": "application/vnd.github.v3+json",
        "Authorization": "token " + os.environ["GITHUB_TOKEN"],
    }
    A__       =    requests.get(get_files_url()		, headers=_lowerCamelCase ).json()
    for file in files:
        A__       =    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 		UpperCamelCase       (							):
    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 		UpperCamelCase       (							_lowerCamelCase      :      Optional[Any] ):
    A__       =    solution_path.parent.name[8:].zfill(3 )
    A__       =    PROBLEM_ANSWERS[problem_number]
    A__       =    convert_path_to_module(_lowerCamelCase )
    A__       =    str(solution_module.solution() )  # type: ignore
    A__       =    hashlib.shaaaa(answer.encode() ).hexdigest()
    assert (
        answer == expected
    ), F"Expected solution to {problem_number} to have hash {expected}, got {answer}"










'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__lowerCAmelCase							:			int				={
    "configuration_layoutlm": ["LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMConfig", "LayoutLMOnnxConfig"],
    "tokenization_layoutlm": ["LayoutLMTokenizer"],
}

try:
  if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __lowerCAmelCase							:			Any				=["LayoutLMTokenizerFast"]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __lowerCAmelCase							:			Dict				=[
      "LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
      "LayoutLMForMaskedLM",
      "LayoutLMForSequenceClassification",
      "LayoutLMForTokenClassification",
      "LayoutLMForQuestionAnswering",
      "LayoutLMModel",
      "LayoutLMPreTrainedModel",
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __lowerCAmelCase							:			str				=[
      "TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TFLayoutLMForMaskedLM",
      "TFLayoutLMForSequenceClassification",
      "TFLayoutLMForTokenClassification",
      "TFLayoutLMForQuestionAnswering",
      "TFLayoutLMMainLayer",
      "TFLayoutLMModel",
      "TFLayoutLMPreTrainedModel",
  ]


if TYPE_CHECKING:
  from .configuration_layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig, LayoutLMOnnxConfig
  from .tokenization_layoutlm import LayoutLMTokenizer

  try:
    if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .tokenization_layoutlm_fast import LayoutLMTokenizerFast

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_layoutlm import (
        LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
        LayoutLMForMaskedLM,
        LayoutLMForQuestionAnswering,
        LayoutLMForSequenceClassification,
        LayoutLMForTokenClassification,
        LayoutLMModel,
        LayoutLMPreTrainedModel,
    )
  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_layoutlm import (
        TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFLayoutLMForMaskedLM,
        TFLayoutLMForQuestionAnswering,
        TFLayoutLMForSequenceClassification,
        TFLayoutLMForTokenClassification,
        TFLayoutLMMainLayer,
        TFLayoutLMModel,
        TFLayoutLMPreTrainedModel,
    )

else:
  import sys

  __lowerCAmelCase							:			int				=_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



