


"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


SCREAMING_SNAKE_CASE					:       List[Any]							   =							logging.get_logger(__name__)

SCREAMING_SNAKE_CASE					:       str							   =							{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

SCREAMING_SNAKE_CASE					:       List[str]							   =							{
    """vocab_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json""",
    },
}



class      _UpperCAmelCase					(				__snake_case							):






		'''simple docstring'''

		def __init__(self							,			a_=None							,			a_=None							,			a_=False							,			a_=True							,			a_=False							,			a_="<s>"							,			a_="</s>"							,			a_="<unk>"							,			a_="<sep>"							,			a_="<pad>"							,			a_="<cls>"							,			a_="<mask>"							,			a_=["<eop>", "<eod>"]							,			**a_							,			):





			'''simple docstring'''

			__snake_case      :		str         =							AddedToken(a_							,			lstrip=a_							,			rstrip=a_   ) if isinstance(a_							,			a_   ) else mask_token

			super().__init__(
			    vocab_file=a_							,			tokenizer_file=a_							,			do_lower_case=a_							,			remove_space=a_							,			keep_accents=a_							,			bos_token=a_							,			eos_token=a_							,			unk_token=a_							,			sep_token=a_							,			pad_token=a_							,			cls_token=a_							,			mask_token=a_							,			additional_special_tokens=a_							,			**a_							,			)

			__snake_case      :		Dict         =							3
			__snake_case      :		List[Any]         =							do_lower_case
			__snake_case      :		Any         =							remove_space
			__snake_case      :		Optional[Any]         =							keep_accents
			__snake_case      :		Union[str, Any]         =							vocab_file
			__snake_case      :		Union[str, Any]         =							False if not self.vocab_file else True

			try:
				import jieba
			except ModuleNotFoundError as error:
				raise error.__class__(
				    '''You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '''
				    '''See https://pypi.org/project/jieba/ for installation.'''   )
			__snake_case      :		List[Any]         =							jieba
			__snake_case      :		Optional[int]         =							str.maketrans(''' \n'''							,			'''\u2582\u2583'''   )



		def 							SCREAMING_SNAKE_CASE    (self							,			a_							,			a_ = None   ):





			'''simple docstring'''

			__snake_case      :		Optional[Any]         =							[self.sep_token_id]
			__snake_case      :		int         =							[self.cls_token_id]
			if token_ids_a is None:
				return token_ids_a + sep + cls
			return token_ids_a + sep + token_ids_a + sep + cls



		def 							SCREAMING_SNAKE_CASE    (self							,			a_							,			a_ = None   ):





			'''simple docstring'''

			__snake_case      :		List[str]         =							[self.sep_token_id]
			__snake_case      :		int         =							[2]

			if token_ids_a is None:
				return len(token_ids_a + sep   ) * [0] + cls_segment_id
			return len(token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1] + cls_segment_id



		def 							SCREAMING_SNAKE_CASE    (self							,			a_							,			a_ = None   ):





			'''simple docstring'''

			if not self.can_save_slow_tokenizer:
				raise ValueError(
				    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
				    '''tokenizer.'''   )

			if not os.path.isdir(a_   ):
				logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""   )
				return
			__snake_case      :		Tuple         =							os.path.join(
			    a_							,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )

			if os.path.abspath(self.vocab_file   ) != os.path.abspath(a_   ):
				copyfile(self.vocab_file							,			a_   )

			return (out_vocab_file,)



		def 							SCREAMING_SNAKE_CASE    (self							,			a_							,			*a_							,			**a_   ):





			'''simple docstring'''

			__snake_case      :		Any         =							[
			    ''' '''.join([x.translate(self.translator   ) for x in self.jieba.cut(a_							,			cut_all=a_   )]   )
			    for text in batch_text_or_text_pairs
			]
			return super()._batch_encode_plus(a_							,			*a_							,			**a_   )



		def 							SCREAMING_SNAKE_CASE    (self							,			*a_							,			**a_   ):





			'''simple docstring'''

			__snake_case      :		Optional[Any]         =							super()._decode(*a_							,			**a_   )
			__snake_case      :		Tuple         =							text.replace(''' '''							,			''''''   ).replace('''\u2582'''							,			''' '''   ).replace('''\u2583'''							,			'''\n'''   )
			return text












"""simple docstring"""




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

import pytest
import requests

lowerCamelCase_	:		int         =   pathlib.Path.cwd().joinpath('project_euler')
lowerCamelCase_	:		str         =   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__						(	_UpperCAmelCase   ):






  """simple docstring"""





  A_    :			List[str]									=    importlib.util.spec_from_file_location(file_path.name					,   str(_UpperCAmelCase   )   )
  A_    :			int									=    importlib.util.module_from_spec(_UpperCAmelCase   )  # type: ignore
  spec.loader.exec_module(_UpperCAmelCase   )  # type: ignore
  return module





def 		UpperCAmelCase__						(	):






  """simple docstring"""





  A_    :			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(_UpperCAmelCase   )
  return solution_file_paths





def 		UpperCAmelCase__						(	):






  """simple docstring"""





  with open(os.environ['GITHUB_EVENT_PATH']   ) as file:
    A_    :			str									=    json.load(_UpperCAmelCase   )
  return event["pull_request"]["url"] + "/files"





def 		UpperCAmelCase__						(	):






  """simple docstring"""





  A_    :			Any									=    []
  A_    :			Optional[Any]									=    {
      'Accept': 'application/vnd.github.v3+json',
      'Authorization': 'token ' + os.environ['GITHUB_TOKEN'],
  }
  A_    :			Union[str, Any]									=    requests.get(get_files_url()					,   headers=_UpperCAmelCase   ).json()
  for file in files:
    A_    :			Optional[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(_UpperCAmelCase   )
  return solution_file_paths





def 		UpperCAmelCase__						(	):






  """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 _UpperCAmelCase   : f"""{path.parent.name}/{path.name}"""					,   )
def 		UpperCAmelCase__						(	_UpperCAmelCase   ):






  """simple docstring"""





  A_    :			str									=    solution_path.parent.name[8:].zfill(3   )
  A_    :			str									=    PROBLEM_ANSWERS[problem_number]
  A_    :			List[Any]									=    convert_path_to_module(_UpperCAmelCase   )
  A_    :			Optional[int]									=    str(solution_module.solution()   )  # type: ignore
  A_    :			Any									=    hashlib.shaaaa(answer.encode()   ).hexdigest()
  assert (
      answer == expected
  ), f"""Expected solution to {problem_number} to have hash {expected}, got {answer}"""