


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_ (							__snake_case						)					->      ModuleType:







 """simple docstring"""


 _lowercase											=importlib.util.spec_from_file_location(file_path.name					,						str(__snake_case						)						)
 _lowercase											=importlib.util.module_from_spec(__snake_case						)  # type: ignore
 spec.loader.exec_module(__snake_case						)  # type: ignore
 return module
def     UpperCAmelCase_ (							)					->      list[pathlib.Path]:







 """simple docstring"""


 _lowercase											=[]
 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     UpperCAmelCase_ (							)					->      str:







 """simple docstring"""


 with open(os.environ['''GITHUB_EVENT_PATH''']						) as file:
  _lowercase											=json.load(__snake_case						)
 return event["pull_request"]["url"] + "/files"
def     UpperCAmelCase_ (							)					->      list[pathlib.Path]:







 """simple docstring"""


 _lowercase											=[]
 _lowercase											={
     '''Accept''': '''application/vnd.github.v3+json''',
     '''Authorization''': '''token ''' + os.environ['''GITHUB_TOKEN'''],
 }
 _lowercase											=requests.get(get_files_url()					,						headers=__snake_case						).json()
 for file in files:
  _lowercase											=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     UpperCAmelCase_ (							)					->      list[pathlib.Path]:







 """simple docstring"""


 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     UpperCAmelCase_ (							__snake_case						)					->      None:







 """simple docstring"""


 _lowercase											=solution_path.parent.name[8:].zfill(3						)
 _lowercase											=PROBLEM_ANSWERS[problem_number]
 _lowercase											=convert_path_to_module(__snake_case						)
 _lowercase											=str(solution_module.solution()						)  # type: ignore
 _lowercase											=hashlib.shaaaa(answer.encode()						).hexdigest()
 assert (
     answer == expected
 ), F"Expected solution to {problem_number} to have hash {expected}, got {answer}"





from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

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


if TYPE_CHECKING:
  from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


UpperCAmelCase__            =							logging.get_logger(__name__)

UpperCAmelCase__            =							{
    '''microsoft/deberta-base''': '''https://huggingface.co/microsoft/deberta-base/resolve/main/config.json''',
    '''microsoft/deberta-large''': '''https://huggingface.co/microsoft/deberta-large/resolve/main/config.json''',
    '''microsoft/deberta-xlarge''': '''https://huggingface.co/microsoft/deberta-xlarge/resolve/main/config.json''',
    '''microsoft/deberta-base-mnli''': '''https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/config.json''',
    '''microsoft/deberta-large-mnli''': '''https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/config.json''',
    '''microsoft/deberta-xlarge-mnli''': '''https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/config.json''',
}







class 				lowerCamelCase__       (	lowerCAmelCase):
     SCREAMING_SNAKE_CASE__				      =      '''deberta'''





     def __init__(self		,					UpperCAmelCase=5_0_2_6_5		,					UpperCAmelCase=7_6_8		,					UpperCAmelCase=1_2		,					UpperCAmelCase=1_2		,					UpperCAmelCase=3_0_7_2		,					UpperCAmelCase="gelu"		,					UpperCAmelCase=0.1		,					UpperCAmelCase=0.1		,					UpperCAmelCase=5_1_2		,					UpperCAmelCase=0		,					UpperCAmelCase=0.02		,					UpperCAmelCase=1e-7		,					UpperCAmelCase=False		,					UpperCAmelCase=-1		,					UpperCAmelCase=0		,					UpperCAmelCase=True		,					UpperCAmelCase=None		,					UpperCAmelCase=0		,					UpperCAmelCase="gelu"		,					**UpperCAmelCase		,					)					->       Dict:
      super().__init__(**UpperCAmelCase	)

      _lowercase											=hidden_size
      _lowercase											=num_hidden_layers
      _lowercase											=num_attention_heads
      _lowercase											=intermediate_size
      _lowercase											=hidden_act
      _lowercase											=hidden_dropout_prob
      _lowercase											=attention_probs_dropout_prob
      _lowercase											=max_position_embeddings
      _lowercase											=type_vocab_size
      _lowercase											=initializer_range
      _lowercase											=relative_attention
      _lowercase											=max_relative_positions
      _lowercase											=pad_token_id
      _lowercase											=position_biased_input

      # Backwards compatibility
      if type(UpperCAmelCase	) == str:
       _lowercase											=[x.strip() for x in pos_att_type.lower().split('''|'''	)]

      _lowercase											=pos_att_type
      _lowercase											=vocab_size
      _lowercase											=layer_norm_eps

      _lowercase											=kwargs.get('''pooler_hidden_size'''		,					UpperCAmelCase	)
      _lowercase											=pooler_dropout
      _lowercase											=pooler_hidden_act







class 				lowerCamelCase__       (	lowerCAmelCase):





     @property
     def 					__A (self	)					->       Mapping[str, Mapping[int, str]]:
      if self.task == "multiple-choice":
       _lowercase											={0: '''batch''', 1: '''choice''', 2: '''sequence'''}
      else:
       _lowercase											={0: '''batch''', 1: '''sequence'''}
      if self._config.type_vocab_size > 0:
       return OrderedDict(
           [('''input_ids''', dynamic_axis), ('''attention_mask''', dynamic_axis), ('''token_type_ids''', dynamic_axis)]	)
      else:
       return OrderedDict([('''input_ids''', dynamic_axis), ('''attention_mask''', dynamic_axis)]	)





     @property
     def 					__A (self	)					->       int:
      return 1_2





     def 					__A (self		,					UpperCAmelCase		,					UpperCAmelCase = -1		,					UpperCAmelCase = -1		,					UpperCAmelCase = -1		,					UpperCAmelCase = False		,					UpperCAmelCase = None		,					UpperCAmelCase = 3		,					UpperCAmelCase = 4_0		,					UpperCAmelCase = 4_0		,					UpperCAmelCase = None		,					)					->       Mapping[str, Any]:
      _lowercase											=super().generate_dummy_inputs(preprocessor=UpperCAmelCase		,					framework=UpperCAmelCase	)
      if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
       del dummy_inputs["token_type_ids"]
      return dummy_inputs

