

'''simple docstring'''



# 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 		lowerCAmelCase__     (   a      ):



 """simple docstring"""



 pass







def      a__ (						a__   ,					a__   ,					a__=None   ,					a__=False		):




     """simple docstring"""


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

     return result







def      a__ (						a__   ,					a__   ,					a__		):




     """simple docstring"""


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




     """simple docstring"""


     __SCREAMING_SNAKE_CASE						     =   assign.targets
     __SCREAMING_SNAKE_CASE						     =   evaluate_ast(assign.value   ,					a__   ,					a__		)

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







def      a__ (						a__   ,					a__   ,					a__		):




     """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		)}.'		)
     __SCREAMING_SNAKE_CASE						     =   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}).'		)

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







def      a__ (						a__   ,					a__   ,					a__		):




     """simple docstring"""


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

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







def      a__ (						a__   ,					a__   ,					a__		):




     """simple docstring"""


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







def      a__ (						a__   ,					a__   ,					a__		):




     """simple docstring"""


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

     __SCREAMING_SNAKE_CASE						     =   evaluate_ast(condition.left   ,					a__   ,					a__		)
     __SCREAMING_SNAKE_CASE						     =   condition.ops[0]
     __SCREAMING_SNAKE_CASE						     =   evaluate_ast(condition.comparators[0]   ,					a__   ,					a__		)

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







def      a__ (						a__   ,					a__   ,					a__		):




     """simple docstring"""


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







def      a__ (						a__   ,					a__   ,					a__		):




     """simple docstring"""


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









'''simple docstring'''



import torch
import trajectory.utils as utils

from transformers import TrajectoryTransformerModel







class 		lowerCAmelCase__     (   utils.Parser      ):



 """simple docstring"""



 lowerCAmelCase__						      =   "halfcheetah-medium-expert-v2"
 lowerCAmelCase__						      =   "config.offline"







def      a__ (						a__   ,					a__   ,					a__   ,					a__   ,					a__		):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     ,    __SCREAMING_SNAKE_CASE						     =   utils.load_model(a__   ,					a__   ,					a__   ,					epoch=a__   ,					device=a__		)
     __SCREAMING_SNAKE_CASE						     =   TrajectoryTransformerModel(gpt.config		)

     trajectory_transformer.tok_emb.load_state_dict(gpt.tok_emb.state_dict()		)
     __SCREAMING_SNAKE_CASE						     =   gpt.pos_emb
     trajectory_transformer.drop.load_state_dict(gpt.drop.state_dict()		)
     trajectory_transformer.ln_f.load_state_dict(gpt.ln_f.state_dict()		)
     trajectory_transformer.head.load_state_dict(gpt.head.state_dict()		)

     for i, block in enumerate(gpt.blocks		):
          trajectory_transformer.blocks[i].lna.load_state_dict(gpt.blocks[i].lna.state_dict()		)
          trajectory_transformer.blocks[i].lna.load_state_dict(gpt.blocks[i].lna.state_dict()		)
          trajectory_transformer.blocks[i].attn.load_state_dict(gpt.blocks[i].attn.state_dict()		)

          trajectory_transformer.blocks[i].la.load_state_dict(gpt.blocks[i].mlp[0].state_dict()		)
          trajectory_transformer.blocks[i].act.load_state_dict(gpt.blocks[i].mlp[1].state_dict()		)
          trajectory_transformer.blocks[i].la.load_state_dict(gpt.blocks[i].mlp[2].state_dict()		)
          trajectory_transformer.blocks[i].drop.load_state_dict(gpt.blocks[i].mlp[3].state_dict()		)

     torch.save(trajectory_transformer.state_dict()   ,					"""pytorch_model.bin"""		)


if __name__ == "__main__":
  UpperCAmelCase				: Dict         =  Parser().parse_args('plan')
  convert_trajectory_transformer_original_pytorch_checkpoint_to_pytorch(
      args.logbase, args.dataset, args.gpt_loadpath, args.gpt_epoch, args.device
  )






