



# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import ast
import difflib
from collections.abc import Mapping
from typing import Any, Callable, Dict



class 		_lowercase		(							UpperCAmelCase__						):
   pass


def 						UpperCAmelCase__   (   UpperCAmelCase__			:str			,       UpperCAmelCase__			:Dict[str, Callable]			,       UpperCAmelCase__			:Optional[Any]=None			,       UpperCAmelCase__			:Optional[int]=False       ):






 '''simple docstring'''

 try:
  a							=		ast.parse(UpperCAmelCase__       )
 except SyntaxError as e:
  print("The code generated by the agent is not valid.\n"			,       UpperCAmelCase__       )
  return
 if state is None:
  a							=		{}
 a							=		None
 for idx, node in enumerate(expression.body       ):
  try:
   a							=		evaluate_ast(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       )
  except InterpretorError as e:
   a							=		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(UpperCAmelCase__       )
   break
  if line_result is not None:
   a							=		line_result

 return result


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






 '''simple docstring'''

 if isinstance(UpperCAmelCase__			,       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(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 elif isinstance(UpperCAmelCase__			,       ast.Call       ):
  # Function call -> we return the value of the function call
  return evaluate_call(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 elif isinstance(UpperCAmelCase__			,       ast.Constant       ):
  # Constant -> just return the value
  return expression.value
 elif isinstance(UpperCAmelCase__			,       ast.Dict       ):
  # Dict -> evaluate all keys and values
  a							=		[evaluate_ast(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       ) for k in expression.keys]
  a							=		[evaluate_ast(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       ) for v in expression.values]
  return dict(zip(UpperCAmelCase__			,       UpperCAmelCase__       )       )
 elif isinstance(UpperCAmelCase__			,       ast.Expr       ):
  # Expression -> evaluate the content
  return evaluate_ast(expression.value			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 elif isinstance(UpperCAmelCase__			,       ast.For       ):
  # For loop -> execute the loop
  return evaluate_for(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 elif isinstance(UpperCAmelCase__			,       ast.FormattedValue       ):
  # Formatted value (part of f-string) -> evaluate the content and return
  return evaluate_ast(expression.value			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 elif isinstance(UpperCAmelCase__			,       ast.If       ):
  # If -> execute the right branch
  return evaluate_if(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 elif hasattr(UpperCAmelCase__			,       "Index"       ) and isinstance(UpperCAmelCase__			,       ast.Index       ):
  return evaluate_ast(expression.value			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 elif isinstance(UpperCAmelCase__			,       ast.JoinedStr       ):
  return "".join([str(evaluate_ast(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       )       ) for v in expression.values]       )
 elif isinstance(UpperCAmelCase__			,       ast.List       ):
  # List -> evaluate all elements
  return [evaluate_ast(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       ) for elt in expression.elts]
 elif isinstance(UpperCAmelCase__			,       ast.Name       ):
  # Name -> pick up the value in the state
  return evaluate_name(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 elif isinstance(UpperCAmelCase__			,       ast.Subscript       ):
  # Subscript -> return the value of the indexing
  return evaluate_subscript(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 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__   (   UpperCAmelCase__			:int			,       UpperCAmelCase__			:Dict			,       UpperCAmelCase__			:Tuple       ):






 '''simple docstring'''

 a							=		assign.targets
 a							=		evaluate_ast(assign.value			,       UpperCAmelCase__			,       UpperCAmelCase__       )

 if len(UpperCAmelCase__       ) == 1:
  a							=		result
 else:
  if len(UpperCAmelCase__       ) != len(UpperCAmelCase__       ):
   raise InterpretorError(F"""Expected {len(UpperCAmelCase__       )} values but got {len(UpperCAmelCase__       )}."""       )
  for var_name, r in zip(UpperCAmelCase__			,       UpperCAmelCase__       ):
   a							=		r
 return result


def 						UpperCAmelCase__   (   UpperCAmelCase__			:int			,       UpperCAmelCase__			:str			,       UpperCAmelCase__			:Tuple       ):






 '''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       )}."""       )
 a							=		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})."""       )

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


def 						UpperCAmelCase__   (   UpperCAmelCase__			:str			,       UpperCAmelCase__			:List[str]			,       UpperCAmelCase__			:Union[str, Any]       ):






 '''simple docstring'''

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

 raise InterpretorError(F"""Could not index {value} with '{index}'."""       )


def 						UpperCAmelCase__   (   UpperCAmelCase__			:Tuple			,       UpperCAmelCase__			:Optional[Any]			,       UpperCAmelCase__			:int       ):






 '''simple docstring'''

 if name.id in state:
  return state[name.id]
 a							=		difflib.get_close_matches(name.id			,       list(state.keys()       )       )
 if len(UpperCAmelCase__       ) > 0:
  return state[close_matches[0]]
 raise InterpretorError(F"""The variable `{name.id}` is not defined."""       )


def 						UpperCAmelCase__   (   UpperCAmelCase__			:Optional[Any]			,       UpperCAmelCase__			:Optional[int]			,       UpperCAmelCase__			:Optional[Any]       ):






 '''simple docstring'''

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

 a							=		evaluate_ast(condition.left			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 a							=		condition.ops[0]
 a							=		evaluate_ast(condition.comparators[0]			,       UpperCAmelCase__			,       UpperCAmelCase__       )

 if isinstance(UpperCAmelCase__			,       ast.Eq       ):
  return left == right
 elif isinstance(UpperCAmelCase__			,       ast.NotEq       ):
  return left != right
 elif isinstance(UpperCAmelCase__			,       ast.Lt       ):
  return left < right
 elif isinstance(UpperCAmelCase__			,       ast.LtE       ):
  return left <= right
 elif isinstance(UpperCAmelCase__			,       ast.Gt       ):
  return left > right
 elif isinstance(UpperCAmelCase__			,       ast.GtE       ):
  return left >= right
 elif isinstance(UpperCAmelCase__			,       ast.Is       ):
  return left is right
 elif isinstance(UpperCAmelCase__			,       ast.IsNot       ):
  return left is not right
 elif isinstance(UpperCAmelCase__			,       ast.In       ):
  return left in right
 elif isinstance(UpperCAmelCase__			,       ast.NotIn       ):
  return left not in right
 else:
  raise InterpretorError(F"""Operator not supported: {comparator}"""       )


def 						UpperCAmelCase__   (   UpperCAmelCase__			:int			,       UpperCAmelCase__			:List[str]			,       UpperCAmelCase__			:List[Any]       ):






 '''simple docstring'''

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




def 						UpperCAmelCase__   (   UpperCAmelCase__			:Dict			,       UpperCAmelCase__			:List[str]			,       UpperCAmelCase__			:Union[str, Any]       ):






 '''simple docstring'''

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




from typing import Callable, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


A__							=				logging.get_logger(__name__)

A__							=				{
    "microsoft/prophetnet-large-uncased": (
        "https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json"
    ),
}

class 					__UpperCamelCase					(       SCREAMING_SNAKE_CASE      ):
	_lowercase	: Union[str, Any]												=	"prophetnet"
	_lowercase	: Any												=	["past_key_values"]
	_lowercase	: int												=	{
	    "num_attention_heads": "num_encoder_attention_heads",
	}







	def __init__( self:			Union[str, Any]	,			__UpperCamelCase:			Optional[float] = 0.1	,			__UpperCamelCase:			Optional[Union[str, Callable]] = "gelu"	,			__UpperCamelCase:			Optional[int] = 3_05_22	,			__UpperCamelCase:			Optional[int] = 10_24	,			__UpperCamelCase:			Optional[int] = 40_96	,			__UpperCamelCase:			Optional[int] = 12	,			__UpperCamelCase:			Optional[int] = 16	,			__UpperCamelCase:			Optional[int] = 40_96	,			__UpperCamelCase:			Optional[int] = 12	,			__UpperCamelCase:			Optional[int] = 16	,			__UpperCamelCase:			Optional[float] = 0.1	,			__UpperCamelCase:			Optional[float] = 0.1	,			__UpperCamelCase:			Optional[int] = 5_12	,			__UpperCamelCase:			Optional[float] = 0.02	,			__UpperCamelCase:			Optional[bool] = True	,			__UpperCamelCase:			Optional[bool] = True	,			__UpperCamelCase:			Optional[int] = 0	,			__UpperCamelCase:			Optional[int] = 2	,			__UpperCamelCase:			Optional[int] = 32	,			__UpperCamelCase:			Optional[int] = 1_28	,			__UpperCamelCase:			Optional[bool] = False	,			__UpperCamelCase:			Optional[float] = 0.0	,			__UpperCamelCase:			Optional[bool] = True	,			__UpperCamelCase:			Optional[int] = 0	,			__UpperCamelCase:			Optional[int] = 1	,			__UpperCamelCase:			Optional[int] = 2	,			**__UpperCamelCase:			Optional[int]	,			):

						'''simple docstring'''





						__magic_name__				=     vocab_size
						__magic_name__				=     hidden_size
						__magic_name__				=     encoder_ffn_dim
						__magic_name__				=     num_encoder_layers
						__magic_name__				=     num_encoder_attention_heads
						__magic_name__				=     decoder_ffn_dim
						__magic_name__				=     num_decoder_layers
						__magic_name__				=     num_decoder_attention_heads
						__magic_name__				=     max_position_embeddings
						__magic_name__				=     init_std  # Normal(0, this parameter)
						__magic_name__				=     activation_function

						# parameters for prophetnet
						__magic_name__				=     ngram
						__magic_name__				=     num_buckets
						__magic_name__				=     relative_max_distance
						__magic_name__				=     disable_ngram_loss
						__magic_name__				=     eps

						# 3 Types of Dropout
						__magic_name__				=     attention_dropout
						__magic_name__				=     activation_dropout
						__magic_name__				=     dropout

						__magic_name__				=     use_cache

						super().__init__(
						    pad_token_id=__UpperCamelCase	,			bos_token_id=__UpperCamelCase	,			eos_token_id=__UpperCamelCase	,			is_encoder_decoder=__UpperCamelCase	,			add_cross_attention=__UpperCamelCase	,			decoder_start_token_id=__UpperCamelCase	,			**__UpperCamelCase	,			)







	@property
	def 						_SCREAMING_SNAKE_CASE				( self:			Tuple   ):

						'''simple docstring'''





						return self.num_encoder_layers + self.num_decoder_layers







	@num_hidden_layers.setter
	def 						_SCREAMING_SNAKE_CASE				( self:			Union[str, Any]	,			__UpperCamelCase:			List[Any]   ):

						'''simple docstring'''





						raise NotImplementedError(
						    'This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'
						    ' `num_decoder_layers`.'   )




