





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

class 	__snake_case					(      a_ ):






    '''simple docstring'''
    pass


def        __SCREAMING_SNAKE_CASE	(				__lowercase:		str  ,				__lowercase:		Dict[str, Callable]  ,				__lowercase:		Any=None  ,				__lowercase:		List[str]=False):



  '''simple docstring'''






  try:
    __lowerCAmelCase								=					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								=					{}
  __lowerCAmelCase								=					None
  for idx, node in enumerate(expression.body):
    try:
      __lowerCAmelCase								=					evaluate_ast(__lowercase  ,				__lowercase  ,				__lowercase)
    except InterpretorError as e:
      __lowerCAmelCase								=					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								=					line_result

  return result


def        __SCREAMING_SNAKE_CASE	(				__lowercase:		ast.AST  ,				__lowercase:		Dict[str, Any]  ,				__lowercase:		Dict[str, Callable]):



  '''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								=					[evaluate_ast(__lowercase  ,				__lowercase  ,				__lowercase) for k in expression.keys]
    __lowerCAmelCase								=					[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        __SCREAMING_SNAKE_CASE	(				__lowercase:		Dict  ,				__lowercase:		Union[str, Any]  ,				__lowercase:		int):



  '''simple docstring'''






  __lowerCAmelCase								=					assign.targets
  __lowerCAmelCase								=					evaluate_ast(assign.value  ,				__lowercase  ,				__lowercase)

  if len(__lowercase) == 1:
    __lowerCAmelCase								=					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								=					r
  return result


def        __SCREAMING_SNAKE_CASE	(				__lowercase:		Union[str, Any]  ,				__lowercase:		List[str]  ,				__lowercase:		Union[str, Any]):



  '''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								=					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								=					tools[func_name]
  # Todo deal with args
  __lowerCAmelCase								=					[evaluate_ast(__lowercase  ,				__lowercase  ,				__lowercase) for arg in call.args]
  __lowerCAmelCase								=					{keyword.arg: evaluate_ast(keyword.value  ,				__lowercase  ,				__lowercase) for keyword in call.keywords}
  return func(*__lowercase  ,				**__lowercase)


def        __SCREAMING_SNAKE_CASE	(				__lowercase:		Tuple  ,				__lowercase:		List[str]  ,				__lowercase:		Optional[Any]):



  '''simple docstring'''






  __lowerCAmelCase								=					evaluate_ast(subscript.slice  ,				__lowercase  ,				__lowercase)
  __lowerCAmelCase								=					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								=					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        __SCREAMING_SNAKE_CASE	(				__lowercase:		Optional[Any]  ,				__lowercase:		List[Any]  ,				__lowercase:		Any):



  '''simple docstring'''






  if name.id in state:
    return state[name.id]
  __lowerCAmelCase								=					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        __SCREAMING_SNAKE_CASE	(				__lowercase:		Union[str, Any]  ,				__lowercase:		Any  ,				__lowercase:		int):



  '''simple docstring'''






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

  __lowerCAmelCase								=					evaluate_ast(condition.left  ,				__lowercase  ,				__lowercase)
  __lowerCAmelCase								=					condition.ops[0]
  __lowerCAmelCase								=					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        __SCREAMING_SNAKE_CASE	(				__lowercase:		str  ,				__lowercase:		Any  ,				__lowercase:		List[str]):



  '''simple docstring'''






  __lowerCAmelCase								=					None
  if evaluate_condition(if_statement.test  ,				__lowercase  ,				__lowercase):
    for line in if_statement.body:
      __lowerCAmelCase								=					evaluate_ast(__lowercase  ,				__lowercase  ,				__lowercase)
      if line_result is not None:
        __lowerCAmelCase								=					line_result
  else:
    for line in if_statement.orelse:
      __lowerCAmelCase								=					evaluate_ast(__lowercase  ,				__lowercase  ,				__lowercase)
      if line_result is not None:
        __lowerCAmelCase								=					line_result
  return result




def        __SCREAMING_SNAKE_CASE	(				__lowercase:		List[str]  ,				__lowercase:		Tuple  ,				__lowercase:		Union[str, Any]):



  '''simple docstring'''






  __lowerCAmelCase								=					None
  __lowerCAmelCase								=					evaluate_ast(for_loop.iter  ,				__lowercase  ,				__lowercase)
  for counter in iterator:
    __lowerCAmelCase								=					counter
    for expression in for_loop.body:
      __lowerCAmelCase								=					evaluate_ast(__lowercase  ,				__lowercase  ,				__lowercase)
      if line_result is not None:
        __lowerCAmelCase								=					line_result
  return result

'''simple docstring'''





from typing import Mapping

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


UpperCamelCase       :     Any			=    logging.get_logger(__name__)

UpperCamelCase       :     Tuple			=    {
    """google/long-t5-local-base""": """https://huggingface.co/google/long-t5-local-base/blob/main/config.json""",
    """google/long-t5-local-large""": """https://huggingface.co/google/long-t5-local-large/blob/main/config.json""",
    """google/long-t5-tglobal-base""": """https://huggingface.co/google/long-t5-tglobal-base/blob/main/config.json""",
    """google/long-t5-tglobal-large""": """https://huggingface.co/google/long-t5-tglobal-large/blob/main/config.json""",
}



class   UpperCamelCase					(       a_       ):







    """simple docstring"""





    A     :    Union[str, Any]				=			"longt5"
    A     :    List[str]				=			["past_key_values"]
    A     :    Dict				=			{"hidden_size": "d_model", "num_attention_heads": "num_heads", "num_hidden_layers": "num_layers"}





    def __init__(					self     :						int							,							UpperCAmelCase_     :						Union[str, Any]=3_2_1_2_8							,							UpperCAmelCase_     :						List[Any]=5_1_2							,							UpperCAmelCase_     :						List[Any]=6_4							,							UpperCAmelCase_     :						List[str]=2_0_4_8							,							UpperCAmelCase_     :						List[str]=6							,							UpperCAmelCase_     :						Tuple=None							,							UpperCAmelCase_     :						Tuple=8							,							UpperCAmelCase_     :						str=1_2_7							,							UpperCAmelCase_     :						Dict=1_6							,							UpperCAmelCase_     :						Optional[int]=3_2							,							UpperCAmelCase_     :						Union[str, Any]=1_2_8							,							UpperCAmelCase_     :						str=0.1							,							UpperCAmelCase_     :						Optional[int]=1e-6							,							UpperCAmelCase_     :						Tuple=1.0							,							UpperCAmelCase_     :						str="relu"							,							UpperCAmelCase_     :						str=True							,							UpperCAmelCase_     :						Dict="local"							,							UpperCAmelCase_     :						Optional[int]=True							,							UpperCAmelCase_     :						Dict=0							,							UpperCAmelCase_     :						Union[str, Any]=1							,							**UpperCAmelCase_     :						Any							,							):


         """simple docstring"""







         a					:							Optional[int]							= vocab_size
         a					:							Tuple							= d_model
         a					:							str							= d_kv
         a					:							str							= d_ff
         a					:							Union[str, Any]							= num_layers
         # default = symmetry
         a					:							Optional[Any]							= num_decoder_layers if num_decoder_layers is not None else self.num_layers
         a					:							List[Any]							= num_heads
         a					:							List[str]							= local_radius
         a					:							Optional[Any]							= global_block_size
         a					:							Optional[int]							= relative_attention_num_buckets
         a					:							List[Any]							= relative_attention_max_distance
         a					:							int							= dropout_rate
         a					:							List[str]							= layer_norm_epsilon
         a					:							Optional[Any]							= initializer_factor
         a					:							List[Any]							= feed_forward_proj
         a					:							Dict							= encoder_attention_type
         a					:							int							= use_cache

         a					:							Optional[Any]							= self.feed_forward_proj.split('-')
         a					:							List[Any]							= act_info[-1]
         a					:							str							= act_info[0] == 'gated'

         if len(UpperCAmelCase_) > 1 and act_info[0] != "gated" or len(UpperCAmelCase_) > 2:
              raise ValueError(
                  f"""`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer."""
                  'Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '
                  '\'gated-gelu\' or \'relu\'')

         # for backwards compatibility
         if feed_forward_proj == "gated-gelu":
              a					:							Any							= 'gelu_new'

         super().__init__(
             pad_token_id=UpperCAmelCase_							,							eos_token_id=UpperCAmelCase_							,							is_encoder_decoder=UpperCAmelCase_							,							**UpperCAmelCase_							,							)






class   UpperCamelCase					(       a_       ):







    """simple docstring"""





    @property
    def    SCREAMING_SNAKE_CASE_     (					self     :						Union[str, Any]):


         """simple docstring"""







         a					:							List[Any]							= {
             'input_ids': {0: 'batch', 1: 'encoder_sequence'},
             'attention_mask': {0: 'batch', 1: 'encoder_sequence'},
         }
         if self.use_past:
              a					:							List[str]							= 'past_encoder_sequence + sequence'
              a					:							str							= {0: 'batch'}
              a					:							List[Any]							= {0: 'batch', 1: 'past_decoder_sequence + sequence'}
         else:
              a					:							Optional[Any]							= {0: 'batch', 1: 'decoder_sequence'}
              a					:							str							= {0: 'batch', 1: 'decoder_sequence'}

         if self.use_past:
              self.fill_with_past_key_values_(UpperCAmelCase_							,							direction='inputs')

         return common_inputs







    @property
    def    SCREAMING_SNAKE_CASE_     (					self     :						Union[str, Any]):


         """simple docstring"""







         return 1_3

