


'''simple docstring'''

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





class     __SCREAMING_SNAKE_CASE       (   a__			):
     pass







def __UpperCamelCase (      __lowerCamelCase		:			int   ,	__lowerCamelCase		:			List[str]   ,	__lowerCamelCase		:			List[Any]=None   ,	__lowerCamelCase		:			Optional[Any]=False					)   ->  Union[str, Any]:







     '''simple docstring'''






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

     return result






def __UpperCamelCase (      __lowerCamelCase		:			Union[str, Any]   ,	__lowerCamelCase		:			Optional[int]   ,	__lowerCamelCase		:			List[Any]					)   ->  List[Any]:







     '''simple docstring'''






     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
          _a            =		[evaluate_ast(lowerCAmelCase_   ,	lowerCAmelCase_   ,	lowerCAmelCase_					) for k in expression.keys]
          _a            =		[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 __UpperCamelCase (      __lowerCamelCase		:			str   ,	__lowerCamelCase		:			int   ,	__lowerCamelCase		:			str					)   ->  List[Any]:







     '''simple docstring'''






     _a            =		assign.targets
     _a            =		evaluate_ast(assign.value   ,	lowerCAmelCase_   ,	lowerCAmelCase_					)

     if len(lowerCAmelCase_					) == 1:
          _a            =		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_					):
               _a            =		r
     return result






def __UpperCamelCase (      __lowerCamelCase		:			int   ,	__lowerCamelCase		:			Union[str, Any]   ,	__lowerCamelCase		:			List[Any]					)   ->  Optional[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					)}."					)
     _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(lowerCAmelCase_   ,	lowerCAmelCase_   ,	lowerCAmelCase_					) for arg in call.args]
     _a            =		{keyword.arg: evaluate_ast(keyword.value   ,	lowerCAmelCase_   ,	lowerCAmelCase_					) for keyword in call.keywords}
     return func(*lowerCAmelCase_   ,	**lowerCAmelCase_					)






def __UpperCamelCase (      __lowerCamelCase		:			List[Any]   ,	__lowerCamelCase		:			Optional[int]   ,	__lowerCamelCase		:			int					)   ->  Dict:







     '''simple docstring'''






     _a            =		evaluate_ast(subscript.slice   ,	lowerCAmelCase_   ,	lowerCAmelCase_					)
     _a            =		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_					):
          _a            =		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 __UpperCamelCase (      __lowerCamelCase		:			Union[str, Any]   ,	__lowerCamelCase		:			Any   ,	__lowerCamelCase		:			Optional[Any]					)   ->  List[str]:







     '''simple docstring'''






     if name.id in state:
          return state[name.id]
     _a            =		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 __UpperCamelCase (      __lowerCamelCase		:			Union[str, Any]   ,	__lowerCamelCase		:			List[Any]   ,	__lowerCamelCase		:			Any					)   ->  Union[str, Any]:







     '''simple docstring'''






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

     _a            =		evaluate_ast(condition.left   ,	lowerCAmelCase_   ,	lowerCAmelCase_					)
     _a            =		condition.ops[0]
     _a            =		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 __UpperCamelCase (      __lowerCamelCase		:			Any   ,	__lowerCamelCase		:			Any   ,	__lowerCamelCase		:			Optional[Any]					)   ->  Optional[Any]:







     '''simple docstring'''






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






def __UpperCamelCase (      __lowerCamelCase		:			Any   ,	__lowerCamelCase		:			int   ,	__lowerCamelCase		:			Dict					)   ->  List[str]:







     '''simple docstring'''






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








'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


UpperCAmelCase       :		Dict		=				{'configuration_hubert': ['HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'HubertConfig']}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase       :		Union[str, Any]		=				[
       'HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
       'HubertForCTC',
       'HubertForSequenceClassification',
       'HubertModel',
       'HubertPreTrainedModel',
   ]


try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase       :		Optional[int]		=				[
       'TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
       'TFHubertForCTC',
       'TFHubertModel',
       'TFHubertPreTrainedModel',
   ]

if TYPE_CHECKING:
   from .configuration_hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_hubert import (
          HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          HubertForCTC,
          HubertForSequenceClassification,
          HubertModel,
          HubertPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_hubert import (
          TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFHubertForCTC,
          TFHubertModel,
          TFHubertPreTrainedModel,
      )


else:
   import sys

   UpperCAmelCase       :		Optional[int]		=				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


