





import ast
import difflib
from collections.abc import Mapping
from typing import Any, Callable, Dict

class 						__a							(		a_					):
       pass






def 	__UpperCamelCase (	lowercase__		:				str						,			lowercase__		:				Dict[str, Callable]						,			lowercase__		:				Dict=None						,			lowercase__		:				str=False						)		->					str:
    '''simple docstring'''





    try:
        lowerCAmelCase_    :		int 						=      ast.parse(lowercase__						)
    except SyntaxError as e:
        print("""The code generated by the agent is not valid.\n"""						,			lowercase__						)
        return
    if state is None:
        lowerCAmelCase_    :		Dict 						=      {}
    lowerCAmelCase_    :		Tuple 						=      None
    for idx, node in enumerate(expression.body						):
        try:
            lowerCAmelCase_    :		List[str] 						=      evaluate_ast(lowercase__						,			lowercase__						,			lowercase__						)
        except InterpretorError as e:
            lowerCAmelCase_    :		Tuple 						=      f'Evaluation of the code stopped at line {idx} before the end because of the following error'
            if chat_mode:
                msg += (
                    f'. Copy paste the following error message and send it back to the agent:\nI get an error: \'{e}\''
                )
            else:
                msg += f':\n{e}'
            print(lowercase__						)
            break
        if line_result is not None:
            lowerCAmelCase_    :		Tuple 						=      line_result

    return result
def 	__UpperCamelCase (	lowercase__		:				ast.AST						,			lowercase__		:				Dict[str, Any]						,			lowercase__		:				Dict[str, Callable]						)		->					str:
    '''simple docstring'''





    if isinstance(lowercase__						,			ast.Assign						):
        # Assignement -> we evaluate the assignement which should update the state
        # We return the variable assigned as it may be used to determine the final result.
        return evaluate_assign(lowercase__						,			lowercase__						,			lowercase__						)
    elif isinstance(lowercase__						,			ast.Call						):
        # Function call -> we return the value of the function call
        return evaluate_call(lowercase__						,			lowercase__						,			lowercase__						)
    elif isinstance(lowercase__						,			ast.Constant						):
        # Constant -> just return the value
        return expression.value
    elif isinstance(lowercase__						,			ast.Dict						):
        # Dict -> evaluate all keys and values
        lowerCAmelCase_    :		Optional[Any] 						=      [evaluate_ast(lowercase__						,			lowercase__						,			lowercase__						) for k in expression.keys]
        lowerCAmelCase_    :		Optional[int] 						=      [evaluate_ast(lowercase__						,			lowercase__						,			lowercase__						) for v in expression.values]
        return dict(zip(lowercase__						,			lowercase__						)						)
    elif isinstance(lowercase__						,			ast.Expr						):
        # Expression -> evaluate the content
        return evaluate_ast(expression.value						,			lowercase__						,			lowercase__						)
    elif isinstance(lowercase__						,			ast.For						):
        # For loop -> execute the loop
        return evaluate_for(lowercase__						,			lowercase__						,			lowercase__						)
    elif isinstance(lowercase__						,			ast.FormattedValue						):
        # Formatted value (part of f-string) -> evaluate the content and return
        return evaluate_ast(expression.value						,			lowercase__						,			lowercase__						)
    elif isinstance(lowercase__						,			ast.If						):
        # If -> execute the right branch
        return evaluate_if(lowercase__						,			lowercase__						,			lowercase__						)
    elif hasattr(lowercase__						,			"""Index"""						) and isinstance(lowercase__						,			ast.Index						):
        return evaluate_ast(expression.value						,			lowercase__						,			lowercase__						)
    elif isinstance(lowercase__						,			ast.JoinedStr						):
        return "".join([str(evaluate_ast(lowercase__						,			lowercase__						,			lowercase__						)						) for v in expression.values]						)
    elif isinstance(lowercase__						,			ast.List						):
        # List -> evaluate all elements
        return [evaluate_ast(lowercase__						,			lowercase__						,			lowercase__						) for elt in expression.elts]
    elif isinstance(lowercase__						,			ast.Name						):
        # Name -> pick up the value in the state
        return evaluate_name(lowercase__						,			lowercase__						,			lowercase__						)
    elif isinstance(lowercase__						,			ast.Subscript						):
        # Subscript -> return the value of the indexing
        return evaluate_subscript(lowercase__						,			lowercase__						,			lowercase__						)
    else:
        # For now we refuse anything else. Let's add things as we need them.
        raise InterpretorError(f'{expression.__class__.__name__} is not supported.'						)
def 	__UpperCamelCase (	lowercase__		:				str						,			lowercase__		:				Optional[int]						,			lowercase__		:				str						)		->					Tuple:
    '''simple docstring'''





    lowerCAmelCase_    :		str 						=      assign.targets
    lowerCAmelCase_    :		Union[str, Any] 						=      evaluate_ast(assign.value						,			lowercase__						,			lowercase__						)

    if len(lowercase__						) == 1:
        lowerCAmelCase_    :		List[Any] 						=      result
    else:
        if len(lowercase__						) != len(lowercase__						):
            raise InterpretorError(f'Expected {len(lowercase__						)} values but got {len(lowercase__						)}.'						)
        for var_name, r in zip(lowercase__						,			lowercase__						):
            lowerCAmelCase_    :		Optional[int] 						=      r
    return result
def 	__UpperCamelCase (	lowercase__		:				Dict						,			lowercase__		:				Dict						,			lowercase__		:				str						)		->					Optional[int]:
    '''simple docstring'''





    if not isinstance(call.func						,			ast.Name						):
        raise InterpretorError(
            f'It is not permitted to evaluate other functions than the provided tools (tried to execute {call.func} of '
            f'type {type(call.func						)}.'						)
    lowerCAmelCase_    :		str 						=      call.func.id
    if func_name not in tools:
        raise InterpretorError(
            f'It is not permitted to evaluate other functions than the provided tools (tried to execute {call.func.id}).'						)

    lowerCAmelCase_    :		Any 						=      tools[func_name]
    # Todo deal with args
    lowerCAmelCase_    :		List[str] 						=      [evaluate_ast(lowercase__						,			lowercase__						,			lowercase__						) for arg in call.args]
    lowerCAmelCase_    :		str 						=      {keyword.arg: evaluate_ast(keyword.value						,			lowercase__						,			lowercase__						) for keyword in call.keywords}
    return func(*lowercase__						,			**lowercase__						)
def 	__UpperCamelCase (	lowercase__		:				Any						,			lowercase__		:				Optional[Any]						,			lowercase__		:				List[Any]						)		->					List[str]:
    '''simple docstring'''





    lowerCAmelCase_    :		str 						=      evaluate_ast(subscript.slice						,			lowercase__						,			lowercase__						)
    lowerCAmelCase_    :		Tuple 						=      evaluate_ast(subscript.value						,			lowercase__						,			lowercase__						)
    if isinstance(lowercase__						,			(list, tuple)						):
        return value[int(lowercase__						)]
    if index in value:
        return value[index]
    if isinstance(lowercase__						,			lowercase__						) and isinstance(lowercase__						,			lowercase__						):
        lowerCAmelCase_    :		Dict 						=      difflib.get_close_matches(lowercase__						,			list(value.keys()						)						)
        if len(lowercase__						) > 0:
            return value[close_matches[0]]

    raise InterpretorError(f'Could not index {value} with \'{index}\'.'						)
def 	__UpperCamelCase (	lowercase__		:				List[str]						,			lowercase__		:				Union[str, Any]						,			lowercase__		:				Optional[int]						)		->					Optional[Any]:
    '''simple docstring'''





    if name.id in state:
        return state[name.id]
    lowerCAmelCase_    :		Union[str, Any] 						=      difflib.get_close_matches(name.id						,			list(state.keys()						)						)
    if len(lowercase__						) > 0:
        return state[close_matches[0]]
    raise InterpretorError(f'The variable `{name.id}` is not defined.'						)
def 	__UpperCamelCase (	lowercase__		:				str						,			lowercase__		:				Any						,			lowercase__		:				Dict						)		->					Dict:
    '''simple docstring'''





    if len(condition.ops						) > 1:
        raise InterpretorError("""Cannot evaluate conditions with multiple operators"""						)

    lowerCAmelCase_    :		int 						=      evaluate_ast(condition.left						,			lowercase__						,			lowercase__						)
    lowerCAmelCase_    :		List[str] 						=      condition.ops[0]
    lowerCAmelCase_    :		Tuple 						=      evaluate_ast(condition.comparators[0]						,			lowercase__						,			lowercase__						)

    if isinstance(lowercase__						,			ast.Eq						):
        return left == right
    elif isinstance(lowercase__						,			ast.NotEq						):
        return left != right
    elif isinstance(lowercase__						,			ast.Lt						):
        return left < right
    elif isinstance(lowercase__						,			ast.LtE						):
        return left <= right
    elif isinstance(lowercase__						,			ast.Gt						):
        return left > right
    elif isinstance(lowercase__						,			ast.GtE						):
        return left >= right
    elif isinstance(lowercase__						,			ast.Is						):
        return left is right
    elif isinstance(lowercase__						,			ast.IsNot						):
        return left is not right
    elif isinstance(lowercase__						,			ast.In						):
        return left in right
    elif isinstance(lowercase__						,			ast.NotIn						):
        return left not in right
    else:
        raise InterpretorError(f'Operator not supported: {comparator}'						)
def 	__UpperCamelCase (	lowercase__		:				str						,			lowercase__		:				Optional[Any]						,			lowercase__		:				List[Any]						)		->					Tuple:
    '''simple docstring'''





    lowerCAmelCase_    :		Optional[int] 						=      None
    if evaluate_condition(if_statement.test						,			lowercase__						,			lowercase__						):
        for line in if_statement.body:
            lowerCAmelCase_    :		Any 						=      evaluate_ast(lowercase__						,			lowercase__						,			lowercase__						)
            if line_result is not None:
                lowerCAmelCase_    :		Optional[Any] 						=      line_result
    else:
        for line in if_statement.orelse:
            lowerCAmelCase_    :		Dict 						=      evaluate_ast(lowercase__						,			lowercase__						,			lowercase__						)
            if line_result is not None:
                lowerCAmelCase_    :		Union[str, Any] 						=      line_result
    return result

def 	__UpperCamelCase (	lowercase__		:				Optional[int]						,			lowercase__		:				Tuple						,			lowercase__		:				Union[str, Any]						)		->					Tuple:
    '''simple docstring'''





    lowerCAmelCase_    :		Optional[int] 						=      None
    lowerCAmelCase_    :		List[str] 						=      evaluate_ast(for_loop.iter						,			lowercase__						,			lowercase__						)
    for counter in iterator:
        lowerCAmelCase_    :		List[str] 						=      counter
        for expression in for_loop.body:
            lowerCAmelCase_    :		Union[str, Any] 						=      evaluate_ast(lowercase__						,			lowercase__						,			lowercase__						)
            if line_result is not None:
                lowerCAmelCase_    :		Optional[Any] 						=      line_result
    return result






'''simple docstring'''







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

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


if is_sentencepiece_available():
   from .tokenization_xlm_roberta import XLMRobertaTokenizer
else:
   A      :     Optional[int]										= None


A      :     Optional[Any]										= logging.get_logger(__name__)

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

A      :     Optional[int]										= {
    '''vocab_file''': {
        '''xlm-roberta-base''': '''https://huggingface.co/xlm-roberta-base/resolve/main/sentencepiece.bpe.model''',
        '''xlm-roberta-large''': '''https://huggingface.co/xlm-roberta-large/resolve/main/sentencepiece.bpe.model''',
        '''xlm-roberta-large-finetuned-conll02-dutch''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/sentencepiece.bpe.model'''
        ),
        '''xlm-roberta-large-finetuned-conll02-spanish''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/sentencepiece.bpe.model'''
        ),
        '''xlm-roberta-large-finetuned-conll03-english''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/sentencepiece.bpe.model'''
        ),
        '''xlm-roberta-large-finetuned-conll03-german''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/sentencepiece.bpe.model'''
        ),
    },
    '''tokenizer_file''': {
        '''xlm-roberta-base''': '''https://huggingface.co/xlm-roberta-base/resolve/main/tokenizer.json''',
        '''xlm-roberta-large''': '''https://huggingface.co/xlm-roberta-large/resolve/main/tokenizer.json''',
        '''xlm-roberta-large-finetuned-conll02-dutch''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/tokenizer.json'''
        ),
        '''xlm-roberta-large-finetuned-conll02-spanish''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/tokenizer.json'''
        ),
        '''xlm-roberta-large-finetuned-conll03-english''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/tokenizer.json'''
        ),
        '''xlm-roberta-large-finetuned-conll03-german''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/tokenizer.json'''
        ),
    },
}

A      :     List[str]										= {
    '''xlm-roberta-base''': 512,
    '''xlm-roberta-large''': 512,
    '''xlm-roberta-large-finetuned-conll02-dutch''': 512,
    '''xlm-roberta-large-finetuned-conll02-spanish''': 512,
    '''xlm-roberta-large-finetuned-conll03-english''': 512,
    '''xlm-roberta-large-finetuned-conll03-german''': 512,
}


class  __lowerCamelCase (       a_       ):
    """simple docstring"""
    a													=    VOCAB_FILES_NAMES
    a													=    PRETRAINED_VOCAB_FILES_MAP
    a													=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    a													=    ["input_ids", "attention_mask"]
    a													=    XLMRobertaTokenizer


    def __init__(  self			:							Union[str, Any]      ,							SCREAMING_SNAKE_CASE			:							Dict=None      ,							SCREAMING_SNAKE_CASE			:							List[Any]=None      ,							SCREAMING_SNAKE_CASE			:							Any="<s>"      ,							SCREAMING_SNAKE_CASE			:							Tuple="</s>"      ,							SCREAMING_SNAKE_CASE			:							str="</s>"      ,							SCREAMING_SNAKE_CASE			:							Optional[Any]="<s>"      ,							SCREAMING_SNAKE_CASE			:							Any="<unk>"      ,							SCREAMING_SNAKE_CASE			:							Union[str, Any]="<pad>"      ,							SCREAMING_SNAKE_CASE			:							List[Any]="<mask>"      ,							**SCREAMING_SNAKE_CASE			:							int      ,							):
           # Mask token behave like a normal word, i.e. include the space before it
           _A     :	str      =					AddedToken(SCREAMING_SNAKE_CASE      ,							lstrip=SCREAMING_SNAKE_CASE      ,							rstrip=SCREAMING_SNAKE_CASE) if isinstance(SCREAMING_SNAKE_CASE      ,							SCREAMING_SNAKE_CASE) else mask_token

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

           _A     :	Dict      =					vocab_file
           _A     :	Optional[Any]      =					False if not self.vocab_file else True


    def    A    (  self			:							int      ,							SCREAMING_SNAKE_CASE			:							List[int]      ,							SCREAMING_SNAKE_CASE			:							Optional[List[int]] = None):

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


    def    A    (  self			:							List[str]      ,							SCREAMING_SNAKE_CASE			:							List[int]      ,							SCREAMING_SNAKE_CASE			:							Optional[List[int]] = None):
           _A     :	Any      =					[self.sep_token_id]
           _A     :	Optional[Any]      =					[self.cls_token_id]

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


    def    A    (  self			:							Dict      ,							SCREAMING_SNAKE_CASE			:							str      ,							SCREAMING_SNAKE_CASE			:							Optional[str] = None):
           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(SCREAMING_SNAKE_CASE):
                  logger.error(F'Vocabulary path ({save_directory}) should be a directory.')
                  return
           _A     :	Any      =					os.path.join(
               SCREAMING_SNAKE_CASE      ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])

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

           return (out_vocab_file,)






