



'''simple docstring'''





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





class 							lowerCAmelCase_		(	a_						):
				pass




def 		_a   (  lowerCamelCase_					,						lowerCamelCase_					,						lowerCamelCase_=None					,						lowerCamelCase_=False							):
			try:
						snake_case   :							Any						  =ast.parse(lowerCamelCase_							)
			except SyntaxError as e:
						print('''The code generated by the agent is not valid.\n'''					,						lowerCamelCase_							)
						return
			if state is None:
						snake_case   :							Optional[Any]						  ={}
			snake_case   :							Union[str, Any]						  =None
			for idx, node in enumerate(expression.body							):
						try:
									snake_case   :							Optional[int]						  =evaluate_ast(lowerCamelCase_					,						lowerCamelCase_					,						lowerCamelCase_							)
						except InterpretorError as e:
									snake_case   :							Any						  =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(lowerCamelCase_							)
									break
						if line_result is not None:
									snake_case   :							int						  =line_result

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

			if len(lowerCamelCase_							) == 1:
						snake_case   :							List[Any]						  =result
			else:
						if len(lowerCamelCase_							) != len(lowerCamelCase_							):
									raise InterpretorError(F'''Expected {len(lowerCamelCase_							)} values but got {len(lowerCamelCase_							)}.'''							)
						for var_name, r in zip(lowerCamelCase_					,						lowerCamelCase_							):
									snake_case   :							Tuple						  =r
			return result
def 		_a   (  lowerCamelCase_					,						lowerCamelCase_					,						lowerCamelCase_							):
			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							)}.'''							)
			snake_case   :							int						  =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}).'''							)

			snake_case   :							Any						  =tools[func_name]
			# Todo deal with args
			snake_case   :							Dict						  =[evaluate_ast(lowerCamelCase_					,						lowerCamelCase_					,						lowerCamelCase_							) for arg in call.args]
			snake_case   :							List[Any]						  ={keyword.arg: evaluate_ast(keyword.value					,						lowerCamelCase_					,						lowerCamelCase_							) for keyword in call.keywords}
			return func(*lowerCamelCase_					,						**lowerCamelCase_							)
def 		_a   (  lowerCamelCase_					,						lowerCamelCase_					,						lowerCamelCase_							):
			snake_case   :							Union[str, Any]						  =evaluate_ast(subscript.slice					,						lowerCamelCase_					,						lowerCamelCase_							)
			snake_case   :							Optional[int]						  =evaluate_ast(subscript.value					,						lowerCamelCase_					,						lowerCamelCase_							)
			if isinstance(lowerCamelCase_					,						(list, tuple)							):
						return value[int(lowerCamelCase_							)]
			if index in value:
						return value[index]
			if isinstance(lowerCamelCase_					,						lowerCamelCase_							) and isinstance(lowerCamelCase_					,						lowerCamelCase_							):
						snake_case   :							str						  =difflib.get_close_matches(lowerCamelCase_					,						list(value.keys()							)							)
						if len(lowerCamelCase_							) > 0:
									return value[close_matches[0]]

			raise InterpretorError(F'''Could not index {value} with \'{index}\'.'''							)
def 		_a   (  lowerCamelCase_					,						lowerCamelCase_					,						lowerCamelCase_							):
			if name.id in state:
						return state[name.id]
			snake_case   :							Dict						  =difflib.get_close_matches(name.id					,						list(state.keys()							)							)
			if len(lowerCamelCase_							) > 0:
						return state[close_matches[0]]
			raise InterpretorError(F'''The variable `{name.id}` is not defined.'''							)
def 		_a   (  lowerCamelCase_					,						lowerCamelCase_					,						lowerCamelCase_							):
			if len(condition.ops							) > 1:
						raise InterpretorError('''Cannot evaluate conditions with multiple operators'''							)

			snake_case   :							Optional[int]						  =evaluate_ast(condition.left					,						lowerCamelCase_					,						lowerCamelCase_							)
			snake_case   :							Tuple						  =condition.ops[0]
			snake_case   :							Any						  =evaluate_ast(condition.comparators[0]					,						lowerCamelCase_					,						lowerCamelCase_							)

			if isinstance(lowerCamelCase_					,						ast.Eq							):
						return left == right
			elif isinstance(lowerCamelCase_					,						ast.NotEq							):
						return left != right
			elif isinstance(lowerCamelCase_					,						ast.Lt							):
						return left < right
			elif isinstance(lowerCamelCase_					,						ast.LtE							):
						return left <= right
			elif isinstance(lowerCamelCase_					,						ast.Gt							):
						return left > right
			elif isinstance(lowerCamelCase_					,						ast.GtE							):
						return left >= right
			elif isinstance(lowerCamelCase_					,						ast.Is							):
						return left is right
			elif isinstance(lowerCamelCase_					,						ast.IsNot							):
						return left is not right
			elif isinstance(lowerCamelCase_					,						ast.In							):
						return left in right
			elif isinstance(lowerCamelCase_					,						ast.NotIn							):
						return left not in right
			else:
						raise InterpretorError(F'''Operator not supported: {comparator}'''							)
def 		_a   (  lowerCamelCase_					,						lowerCamelCase_					,						lowerCamelCase_							):
			snake_case   :							List[Any]						  =None
			if evaluate_condition(if_statement.test					,						lowerCamelCase_					,						lowerCamelCase_							):
						for line in if_statement.body:
									snake_case   :							Any						  =evaluate_ast(lowerCamelCase_					,						lowerCamelCase_					,						lowerCamelCase_							)
									if line_result is not None:
												snake_case   :							int						  =line_result
			else:
						for line in if_statement.orelse:
									snake_case   :							Tuple						  =evaluate_ast(lowerCamelCase_					,						lowerCamelCase_					,						lowerCamelCase_							)
									if line_result is not None:
												snake_case   :							Any						  =line_result
			return result


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










'''simple docstring'''





import os
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
      import torch

      from transformers import GPTaLMHeadModel





@require_torch
@require_sentencepiece
@require_tokenizers
class 							lowerCAmelCase_		(	unittest.TestCase						):





    @slow
    @unittest.skip('''Model is not available.'''     )
    def 					__snake_case       (    self    :    List[Any]     ):



       '''simple docstring'''







       snake_case   :							Any						  ='''nvidia/megatron-gpt2-345m/'''
       if "MYDIR" in os.environ:
          snake_case   :							Any						  =os.path.join(os.environ['''MYDIR'''],    _snake_case     )
       snake_case   :							Optional[Any]						  =GPTaLMHeadModel.from_pretrained(_snake_case     )
       model.to(_snake_case     )
       model.half()

       snake_case   :							int						  =torch.tensor(
           [[101, 7_110, 1_005, 1_056, 2_023, 11_333, 17_413, 1_029, 102]],    device=_snake_case,    dtype=torch.long,    )

       with torch.no_grad():
          snake_case   :							Dict						  =model(_snake_case     ).logits

       snake_case   :							Dict						  =torch.Size((1, 9, 50_257)     )
       self.assertEqual(output.shape,    _snake_case     )

       snake_case   :							str						  =torch.tensor(
           [
               4.9414,
               -0.2920,
               -1.2148,
               -4.0273,
               -0.5161,
               -5.2109,
               -1.2412,
               -1.8301,
               -1.7734,
               -4.7148,
               -0.2317,
               -1.0811,
               -2.1777,
               0.4141,
               -3.7969,
               -4.0586,
               -2.5332,
               -3.3809,
               4.3867,
           ],    device=_snake_case,    dtype=torch.half,    )

       for i in range(19     ):
          snake_case  ,    snake_case   :							Tuple						  =8 * i // 17, 2_792 * i  # along the diagonal
          snake_case  ,    snake_case   :							List[str]						  =output[0, r, c], expected_diag[i]
          snake_case   :							Optional[int]						  =f'''row={r} col={c} computed={computed} expected={expected}'''
          self.assertAlmostEqual(_snake_case,    _snake_case,    delta=1E-4,    msg=_snake_case     )





