





"""simple docstring"""



import os
from shutil import copyfile
from typing import List, Optional, Tuple

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


if is_sentencepiece_available():
       from .tokenization_xglm import XGLMTokenizer
else:
       a_				=    None


a_				=    logging.get_logger(__name__)

a_				=    {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

a_				=    {
    'vocab_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json',
    },
}

a_				=    {
    'facebook/xglm-564M': 2048,
}






class 	__snake_case      (	SCREAMING_SNAKE_CASE__  ):





 """simple docstring"""


 _lowerCamelCase				 =  VOCAB_FILES_NAMES
 _lowerCamelCase				 =  PRETRAINED_VOCAB_FILES_MAP
 _lowerCamelCase				 =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCamelCase				 =  ["""input_ids""", """attention_mask"""]
 _lowerCamelCase				 =  XGLMTokenizer

 def __init__(					self      ,		__lowerCamelCase=None      ,		__lowerCamelCase=None      ,		__lowerCamelCase="<s>"      ,		__lowerCamelCase="</s>"      ,		__lowerCamelCase="</s>"      ,		__lowerCamelCase="<s>"      ,		__lowerCamelCase="<unk>"      ,		__lowerCamelCase="<pad>"      ,		**__lowerCamelCase      ,		):



     '''simple docstring'''




     __A					:		Any						=  7
     __A					:		Dict						=  [F"""<madeupword{i}>""" for i in range(self.num_madeup_words						)]

     __A					:		List[str]						=  kwargs.get('''additional_special_tokens'''      ,		[]						)
     kwargs["additional_special_tokens"] += [
         word for word in madeup_words if word not in kwargs["additional_special_tokens"]
     ]

     super().__init__(
         A_      ,		tokenizer_file=A_      ,		bos_token=A_      ,		eos_token=A_      ,		sep_token=A_      ,		cls_token=A_      ,		unk_token=A_      ,		pad_token=A_      ,		**A_      ,		)

     __A					:		int						=  vocab_file
     __A					:		Any						=  False if not self.vocab_file else True

 def       UpperCamelCase__(					self      ,		__lowerCamelCase      ,		__lowerCamelCase = None						):



     '''simple docstring'''




     if token_ids_a is None:
         return [self.sep_token_id] + token_ids_a
     __A					:		Optional[Any]						=  [self.sep_token_id]
     return sep + token_ids_a + sep + sep + token_ids_a

 def       UpperCamelCase__(					self      ,		__lowerCamelCase      ,		__lowerCamelCase = None						):



     '''simple docstring'''




     __A					:		Union[str, Any]						=  [self.sep_token_id]

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







 def       UpperCamelCase__(					self      ,		__lowerCamelCase      ,		__lowerCamelCase = 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
     __A					:		Optional[int]						=  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,)











"""simple docstring"""



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

import pytest
import requests

a_				=    pathlib.Path.cwd().joinpath("""project_euler""")
a_				=    pathlib.Path.cwd().joinpath(
    """scripts""", """project_euler_answers.json"""
)

with open(PROJECT_EULER_ANSWERS_PATH) as file_handle:
       a_				=    json.load(file_handle)







def 	__lowercase  (     snake_case_						:						pathlib.Path		)     ->ModuleType:



    '''simple docstring'''







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







def 	__lowercase  (     )     ->list[pathlib.Path]:



    '''simple docstring'''







    __A					:		Optional[int]						=  []
    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 	__lowercase  (     )     ->str:



    '''simple docstring'''







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







def 	__lowercase  (     )     ->list[pathlib.Path]:



    '''simple docstring'''







    __A					:		int						=  []
    __A					:		Optional[int]						=  {
        '''Accept''': '''application/vnd.github.v3+json''',
        '''Authorization''': '''token ''' + os.environ['''GITHUB_TOKEN'''],
    }
    __A					:		Optional[Any]						=  requests.get(get_files_url()       ,headers=snake_case_		).json()
    for file in files:
        __A					:		Union[str, Any]						=  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 	__lowercase  (     )     ->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 	__lowercase  (     snake_case_						:						pathlib.Path		)     ->None:



    '''simple docstring'''







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




