'''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   UpperCamelCase					(       a_       ):







    """simple docstring"""





    pass






def SCREAMING_SNAKE_CASE__  (				snake_case       :				str				,	snake_case       :				Dict[str, Callable]				,	snake_case       :				Any=None				,	snake_case       :				List[str]=False  )   ->				int:







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

     return result






def SCREAMING_SNAKE_CASE__  (				snake_case       :				ast.AST				,	snake_case       :				Dict[str, Any]				,	snake_case       :				Dict[str, Callable]  )   ->				Any:







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







     """simple docstring"""
     a					:							str							= assign.targets
     a					:							Any							= evaluate_ast(assign.value				,	snake_case				,	snake_case  )

     if len(snake_case  ) == 1:
          a					:							int							= result
     else:
          if len(snake_case  ) != len(snake_case  ):
               raise InterpretorError(F"""Expected {len(snake_case  )} values but got {len(snake_case  )}."""  )
          for var_name, r in zip(snake_case				,	snake_case  ):
               a					:							int							= r
     return result






def SCREAMING_SNAKE_CASE__  (				snake_case       :				Union[str, Any]				,	snake_case       :				List[str]				,	snake_case       :				Union[str, 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					:							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})."""  )

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






def SCREAMING_SNAKE_CASE__  (				snake_case       :				Tuple				,	snake_case       :				List[str]				,	snake_case       :				Optional[Any]  )   ->				Optional[Any]:







     """simple docstring"""
     a					:							str							= evaluate_ast(subscript.slice				,	snake_case				,	snake_case  )
     a					:							Optional[Any]							= evaluate_ast(subscript.value				,	snake_case				,	snake_case  )
     if isinstance(snake_case				,	(list, tuple)  ):
          return value[int(snake_case  )]
     if index in value:
          return value[index]
     if isinstance(snake_case				,	snake_case  ) and isinstance(snake_case				,	snake_case  ):
          a					:							Optional[Any]							= difflib.get_close_matches(snake_case				,	list(value.keys()  )  )
          if len(snake_case  ) > 0:
               return value[close_matches[0]]

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






def SCREAMING_SNAKE_CASE__  (				snake_case       :				Optional[Any]				,	snake_case       :				List[Any]				,	snake_case       :				Any  )   ->				List[Any]:







     """simple docstring"""
     if name.id in state:
          return state[name.id]
     a					:							Tuple							= difflib.get_close_matches(name.id				,	list(state.keys()  )  )
     if len(snake_case  ) > 0:
          return state[close_matches[0]]
     raise InterpretorError(F"""The variable `{name.id}` is not defined."""  )






def SCREAMING_SNAKE_CASE__  (				snake_case       :				Union[str, Any]				,	snake_case       :				Any				,	snake_case       :				int  )   ->				Tuple:







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

     a					:							Dict							= evaluate_ast(condition.left				,	snake_case				,	snake_case  )
     a					:							Union[str, Any]							= condition.ops[0]
     a					:							List[str]							= evaluate_ast(condition.comparators[0]				,	snake_case				,	snake_case  )

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






def SCREAMING_SNAKE_CASE__  (				snake_case       :				str				,	snake_case       :				Any				,	snake_case       :				List[str]  )   ->				Optional[Any]:







     """simple docstring"""
     a					:							List[Any]							= None
     if evaluate_condition(if_statement.test				,	snake_case				,	snake_case  ):
          for line in if_statement.body:
               a					:							List[Any]							= evaluate_ast(snake_case				,	snake_case				,	snake_case  )
               if line_result is not None:
                    a					:							Optional[Any]							= line_result
     else:
          for line in if_statement.orelse:
               a					:							str							= evaluate_ast(snake_case				,	snake_case				,	snake_case  )
               if line_result is not None:
                    a					:							List[Any]							= line_result
     return result






def SCREAMING_SNAKE_CASE__  (				snake_case       :				List[str]				,	snake_case       :				Tuple				,	snake_case       :				Union[str, Any]  )   ->				Union[str, Any]:







     """simple docstring"""
     a					:							Optional[Any]							= None
     a					:							Optional[int]							= evaluate_ast(for_loop.iter				,	snake_case				,	snake_case  )
     for counter in iterator:
          a					:							Any							= counter
          for expression in for_loop.body:
               a					:							Optional[int]							= evaluate_ast(snake_case				,	snake_case				,	snake_case  )
               if line_result is not None:
                    a					:							int							= line_result
     return result


'''simple docstring'''





from typing import TYPE_CHECKING

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


UpperCamelCase       :     Tuple			=    {
    """configuration_markuplm""": ["""MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MarkupLMConfig"""],
    """feature_extraction_markuplm""": ["""MarkupLMFeatureExtractor"""],
    """processing_markuplm""": ["""MarkupLMProcessor"""],
    """tokenization_markuplm""": ["""MarkupLMTokenizer"""],
}

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase       :     int			=    ["""MarkupLMTokenizerFast"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase       :     Any			=    [
          """MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """MarkupLMForQuestionAnswering""",
          """MarkupLMForSequenceClassification""",
          """MarkupLMForTokenClassification""",
          """MarkupLMModel""",
          """MarkupLMPreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_markuplm import MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP, MarkupLMConfig
      from .feature_extraction_markuplm import MarkupLMFeatureExtractor
      from .processing_markuplm import MarkupLMProcessor
      from .tokenization_markuplm import MarkupLMTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_markuplm_fast import MarkupLMTokenizerFast

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_markuplm import (
                MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
                MarkupLMForQuestionAnswering,
                MarkupLMForSequenceClassification,
                MarkupLMForTokenClassification,
                MarkupLMModel,
                MarkupLMPreTrainedModel,
            )


else:
      import sys

      UpperCamelCase       :     Dict			=    _LazyModule(__name__, globals()["""__file__"""], _import_structure)

