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

       return result


def SCREAMING_SNAKE_CASE (   lowercase_:		ast.AST						,  lowercase_:		Dict[str, Any]						,  lowercase_:		Dict[str, Callable] ):
       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
              _UpperCamelCase   :				int       =     [evaluate_ast(lowercase_						,  lowercase_						,  lowercase_ ) for k in expression.keys]
              _UpperCamelCase   :				Optional[Any]       =     [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_:		Optional[Any]						,  lowercase_:		int						,  lowercase_:		Optional[int] ):
       _UpperCamelCase   :				int       =     assign.targets
       _UpperCamelCase   :				Union[str, Any]       =     evaluate_ast(assign.value						,  lowercase_						,  lowercase_ )

       if len(lowercase_ ) == 1:
              _UpperCamelCase   :				List[str]       =     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_ ):
                     _UpperCamelCase   :				Tuple       =     r
       return result


def SCREAMING_SNAKE_CASE (   lowercase_:		List[str]						,  lowercase_:		Optional[Any]						,  lowercase_:		Optional[Any] ):
       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 )}." )
       _UpperCamelCase   :				Any       =     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})." )

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


def SCREAMING_SNAKE_CASE (   lowercase_:		Dict						,  lowercase_:		str						,  lowercase_:		Any ):
       _UpperCamelCase   :				List[str]       =     evaluate_ast(subscript.slice						,  lowercase_						,  lowercase_ )
       _UpperCamelCase   :				Any       =     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_ ):
              _UpperCamelCase   :				int       =     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_:		str						,  lowercase_:		str						,  lowercase_:		Optional[Any] ):
       if name.id in state:
              return state[name.id]
       _UpperCamelCase   :				Any       =     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_:		List[str]						,  lowercase_:		Optional[Any]						,  lowercase_:		List[Any] ):
       if len(condition.ops ) > 1:
              raise InterpretorError('Cannot evaluate conditions with multiple operators' )

       _UpperCamelCase   :				List[str]       =     evaluate_ast(condition.left						,  lowercase_						,  lowercase_ )
       _UpperCamelCase   :				Tuple       =     condition.ops[0]
       _UpperCamelCase   :				Tuple       =     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_:		Tuple						,  lowercase_:		Optional[Any] ):
       _UpperCamelCase   :				Optional[int]       =     None
       if evaluate_condition(if_statement.test						,  lowercase_						,  lowercase_ ):
              for line in if_statement.body:
                     _UpperCamelCase   :				Tuple       =     evaluate_ast(lowercase_						,  lowercase_						,  lowercase_ )
                     if line_result is not None:
                            _UpperCamelCase   :				Union[str, Any]       =     line_result
       else:
              for line in if_statement.orelse:
                     _UpperCamelCase   :				str       =     evaluate_ast(lowercase_						,  lowercase_						,  lowercase_ )
                     if line_result is not None:
                            _UpperCamelCase   :				str       =     line_result
       return result





def SCREAMING_SNAKE_CASE (   lowercase_:		Any						,  lowercase_:		Union[str, Any]						,  lowercase_:		Any ):
       _UpperCamelCase   :				List[Any]       =     None
       _UpperCamelCase   :				str       =     evaluate_ast(for_loop.iter						,  lowercase_						,  lowercase_ )
       for counter in iterator:
              _UpperCamelCase   :				Tuple       =     counter
              for expression in for_loop.body:
                     _UpperCamelCase   :				List[str]       =     evaluate_ast(lowercase_						,  lowercase_						,  lowercase_ )
                     if line_result is not None:
                            _UpperCamelCase   :				int       =     line_result
       return result




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase							= {'''configuration_nat''': ['''NAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''NatConfig''']}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase							= [
     '''NAT_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''NatForImageClassification''',
     '''NatModel''',
     '''NatPreTrainedModel''',
     '''NatBackbone''',
 ]

if TYPE_CHECKING:
 from .configuration_nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_nat import (
      NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
      NatBackbone,
      NatForImageClassification,
      NatModel,
      NatPreTrainedModel,
  )

else:
 import sys

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



