






# 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 							__snake_case(       __UpperCamelCase   ):
 pass
def    a__    (	A		,					A		,					A=None		,					A=False       ):
   try:
      lowercase__    :						List[Any]       =			ast.parse(A       )
   except SyntaxError as e:
      print("""The code generated by the agent is not valid.\n"""		,					A       )
      return
   if state is None:
      lowercase__    :						Optional[int]       =			{}
   lowercase__    :						Optional[Any]       =			None
   for idx, node in enumerate(expression.body       ):
      try:
         lowercase__    :						Optional[int]       =			evaluate_ast(A		,					A		,					A       )
      except InterpretorError as e:
         lowercase__    :						List[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(A       )
         break
      if line_result is not None:
         lowercase__    :						Union[str, Any]       =			line_result

   return result
def    a__    (	A		,					A		,					A       ):
   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
      lowercase__    :						Dict       =			[evaluate_ast(A		,					A		,					A       ) for k in expression.keys]
      lowercase__    :						Any       =			[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       ):
   lowercase__    :						Tuple       =			assign.targets
   lowercase__    :						Any       =			evaluate_ast(assign.value		,					A		,					A       )

   if len(A       ) == 1:
      lowercase__    :						Tuple       =			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       ):
         lowercase__    :						Optional[Any]       =			r
   return result
def    a__    (	A		,					A		,					A       ):
   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       )}.'''       )
   lowercase__    :						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}).'''       )

   lowercase__    :						int       =			tools[func_name]
   # Todo deal with args
   lowercase__    :						int       =			[evaluate_ast(A		,					A		,					A       ) for arg in call.args]
   lowercase__    :						Union[str, Any]       =			{keyword.arg: evaluate_ast(keyword.value		,					A		,					A       ) for keyword in call.keywords}
   return func(*A		,					**A       )
def    a__    (	A		,					A		,					A       ):
   lowercase__    :						int       =			evaluate_ast(subscript.slice		,					A		,					A       )
   lowercase__    :						Optional[int]       =			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       ):
      lowercase__    :						Union[str, Any]       =			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       ):
   if name.id in state:
      return state[name.id]
   lowercase__    :						Union[str, Any]       =			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       ):
   if len(condition.ops       ) > 1:
      raise InterpretorError("""Cannot evaluate conditions with multiple operators"""       )

   lowercase__    :						int       =			evaluate_ast(condition.left		,					A		,					A       )
   lowercase__    :						Dict       =			condition.ops[0]
   lowercase__    :						Optional[int]       =			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       ):
   lowercase__    :						int       =			None
   if evaluate_condition(if_statement.test		,					A		,					A       ):
      for line in if_statement.body:
         lowercase__    :						int       =			evaluate_ast(A		,					A		,					A       )
         if line_result is not None:
            lowercase__    :						Any       =			line_result
   else:
      for line in if_statement.orelse:
         lowercase__    :						int       =			evaluate_ast(A		,					A		,					A       )
         if line_result is not None:
            lowercase__    :						Optional[Any]       =			line_result
   return result






def    a__    (	A		,					A		,					A       ):
   lowercase__    :						Dict       =			None
   lowercase__    :						int       =			evaluate_ast(for_loop.iter		,					A		,					A       )
   for counter in iterator:
      lowercase__    :						List[str]       =			counter
      for expression in for_loop.body:
         lowercase__    :						List[Any]       =			evaluate_ast(A		,					A		,					A       )
         if line_result is not None:
            lowercase__    :						Tuple       =			line_result
   return result










from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


a 			=							{
    'configuration_mobilevitv2': [
        'MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileViTV2Config',
        'MobileViTV2OnnxConfig',
    ],
}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a 			=							[
     'MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST',
     'MobileViTV2ForImageClassification',
     'MobileViTV2ForSemanticSegmentation',
     'MobileViTV2Model',
     'MobileViTV2PreTrainedModel',
 ]

if TYPE_CHECKING:
 from .configuration_mobilevitva import (
     MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
     MobileViTVaConfig,
     MobileViTVaOnnxConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_mobilevitva import (
      MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
      MobileViTVaForImageClassification,
      MobileViTVaForSemanticSegmentation,
      MobileViTVaModel,
      MobileViTVaPreTrainedModel,
  )

else:
 import sys

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


