
'''simple docstring'''

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 		_UpperCAmelCase			(					_lowerCamelCase  :    pathlib.Path						)      ->  ModuleType:
  _lowerCAmelCase    :					Dict							=   importlib.util.spec_from_file_location(file_path.name					, str(_lowerCamelCase						)						)
  _lowerCAmelCase    :					Tuple							=   importlib.util.module_from_spec(_lowerCamelCase						)  # type: ignore
  spec.loader.exec_module(_lowerCamelCase						)  # type: ignore
  return module


def 		_UpperCAmelCase			(					)      ->  list[pathlib.Path]:
  _lowerCAmelCase    :					Tuple							=   []
  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			(					)      ->  str:
  with open(os.environ["""GITHUB_EVENT_PATH"""]						) as file:
    _lowerCAmelCase    :					List[Any]							=   json.load(_lowerCamelCase						)
  return event["pull_request"]["url"] + "/files"


def 		_UpperCAmelCase			(					)      ->  list[pathlib.Path]:
  _lowerCAmelCase    :					Optional[Any]							=   []
  _lowerCAmelCase    :					List[str]							=   {
      """Accept""": """application/vnd.github.v3+json""",
      """Authorization""": """token """ + os.environ["""GITHUB_TOKEN"""],
  }
  _lowerCAmelCase    :					Any							=   requests.get(get_files_url()					, headers=_lowerCamelCase						).json()
  for file in files:
    _lowerCAmelCase    :					int							=   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			(					)      ->  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 _lowerCamelCase						: f'{path.parent.name}/{path.name}'					, )
def 		_UpperCAmelCase			(					_lowerCamelCase  :    pathlib.Path						)      ->  None:
  _lowerCAmelCase    :					str							=   solution_path.parent.name[8:].zfill(3						)
  _lowerCAmelCase    :					str							=   PROBLEM_ANSWERS[problem_number]
  _lowerCAmelCase    :					Optional[int]							=   convert_path_to_module(_lowerCamelCase						)
  _lowerCAmelCase    :					Tuple							=   str(solution_module.solution()						)  # type: ignore
  _lowerCAmelCase    :					Dict							=   hashlib.shaaaa(answer.encode()						).hexdigest()
  assert (
      answer == expected
  ), f'Expected solution to {problem_number} to have hash {expected}, got {answer}'




'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCamelCase_            =    logging.get_logger(__name__)

UpperCamelCase_            =    {
    """apple/mobilevit-small""": """https://huggingface.co/apple/mobilevit-small/resolve/main/config.json""",
    """apple/mobilevit-x-small""": """https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json""",
    """apple/mobilevit-xx-small""": """https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json""",
    """apple/deeplabv3-mobilevit-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json"""
    ),
    """apple/deeplabv3-mobilevit-x-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json"""
    ),
    """apple/deeplabv3-mobilevit-xx-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json"""
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}


class 					a_					(_a      ):
       __lowerCAmelCase      :			List[str]      = """mobilevit"""




       def __init__(       self				,				snake_case_=3				,				snake_case_=2_5_6				,				snake_case_=2				,				snake_case_=[1_4_4, 1_9_2, 2_4_0]				,				snake_case_=[1_6, 3_2, 6_4, 9_6, 1_2_8, 1_6_0, 6_4_0]				,				snake_case_=4				,				snake_case_=2.0				,				snake_case_=4.0				,				snake_case_="silu"				,				snake_case_=3				,				snake_case_=3_2				,				snake_case_=0.1				,				snake_case_=0.0				,				snake_case_=0.1				,				snake_case_=0.02				,				snake_case_=1E-5				,				snake_case_=True				,				snake_case_=2_5_6				,				snake_case_=[6, 1_2, 1_8]				,				snake_case_=0.1				,				snake_case_=2_5_5				,				**snake_case_				,				):
         super().__init__(**snake_case_					)

         _lowerCAmelCase    :					Optional[Any]							=   num_channels
         _lowerCAmelCase    :					Optional[int]							=   image_size
         _lowerCAmelCase    :					Union[str, Any]							=   patch_size
         _lowerCAmelCase    :					Any							=   hidden_sizes
         _lowerCAmelCase    :					List[Any]							=   neck_hidden_sizes
         _lowerCAmelCase    :					Any							=   num_attention_heads
         _lowerCAmelCase    :					List[Any]							=   mlp_ratio
         _lowerCAmelCase    :					Optional[Any]							=   expand_ratio
         _lowerCAmelCase    :					List[Any]							=   hidden_act
         _lowerCAmelCase    :					Dict							=   conv_kernel_size
         _lowerCAmelCase    :					Tuple							=   output_stride
         _lowerCAmelCase    :					Dict							=   hidden_dropout_prob
         _lowerCAmelCase    :					Tuple							=   attention_probs_dropout_prob
         _lowerCAmelCase    :					Optional[int]							=   classifier_dropout_prob
         _lowerCAmelCase    :					int							=   initializer_range
         _lowerCAmelCase    :					List[Any]							=   layer_norm_eps
         _lowerCAmelCase    :					List[Any]							=   qkv_bias

         # decode head attributes for semantic segmentation
         _lowerCAmelCase    :					str							=   aspp_out_channels
         _lowerCAmelCase    :					Optional[Any]							=   atrous_rates
         _lowerCAmelCase    :					Any							=   aspp_dropout_prob
         _lowerCAmelCase    :					Union[str, Any]							=   semantic_loss_ignore_index



class 					a_					(_a      ):
       __lowerCAmelCase      :			Optional[int]      = version.parse("""1.11"""      )




       @property
       def 							__UpperCamelCase    (       self					):
         return OrderedDict([("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""})]					)




       @property
       def 							__UpperCamelCase    (       self					):
         if self.task == "image-classification":
           return OrderedDict([("""logits""", {0: """batch"""})]					)
         else:
           return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})]					)







       @property
       def 							__UpperCamelCase    (       self					):
         return 1E-4


