'''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       __lowercase		(    A_    ):







     """simple docstring"""






     pass







def 			_UpperCamelCase			(  _a						:						str					,  _a						:						Optional[int]					,  _a						:						Optional[int]=None					,  _a						:						int=False      ):




    """simple docstring"""



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

    return result







def 			_UpperCamelCase			(  _a						:						List[Any]					,  _a						:						Tuple					,  _a						:						Tuple      ):




    """simple docstring"""



    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
        __UpperCamelCase						:						Any		     =	[evaluate_ast(A__					,  A__					,  A__      ) for k in expression.keys]
        __UpperCamelCase						:						str		     =	[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 			_UpperCamelCase			(  _a						:						List[str]					,  _a						:						Dict					,  _a						:						Any      ):




    """simple docstring"""



    __UpperCamelCase						:						List[str]		     =	assign.targets
    __UpperCamelCase						:						List[str]		     =	evaluate_ast(assign.value					,  A__					,  A__      )

    if len(A__      ) == 1:
        __UpperCamelCase						:						Optional[Any]		     =	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__      ):
            __UpperCamelCase						:						Optional[int]		     =	r
    return result







def 			_UpperCamelCase			(  _a						:						Any					,  _a						:						Tuple					,  _a						:						Union[str, 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      )}."""      )
    __UpperCamelCase						:						Optional[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						:						Optional[int]		     =	tools[func_name]
    # Todo deal with args
    __UpperCamelCase						:						Optional[int]		     =	[evaluate_ast(A__					,  A__					,  A__      ) for arg in call.args]
    __UpperCamelCase						:						Dict		     =	{keyword.arg: evaluate_ast(keyword.value					,  A__					,  A__      ) for keyword in call.keywords}
    return func(*A__					,  **A__      )







def 			_UpperCamelCase			(  _a						:						Any					,  _a						:						str					,  _a						:						Tuple      ):




    """simple docstring"""



    __UpperCamelCase						:						str		     =	evaluate_ast(subscript.slice					,  A__					,  A__      )
    __UpperCamelCase						:						Tuple		     =	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__      ):
        __UpperCamelCase						:						int		     =	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 			_UpperCamelCase			(  _a						:						List[str]					,  _a						:						Any					,  _a						:						Dict      ):




    """simple docstring"""



    if name.id in state:
        return state[name.id]
    __UpperCamelCase						:						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 			_UpperCamelCase			(  _a						:						Dict					,  _a						:						str					,  _a						:						str      ):




    """simple docstring"""



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

    __UpperCamelCase						:						List[str]		     =	evaluate_ast(condition.left					,  A__					,  A__      )
    __UpperCamelCase						:						str		     =	condition.ops[0]
    __UpperCamelCase						:						Dict		     =	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 			_UpperCamelCase			(  _a						:						Any					,  _a						:						Optional[int]					,  _a						:						List[str]      ):




    """simple docstring"""



    __UpperCamelCase						:						Tuple		     =	None
    if evaluate_condition(if_statement.test					,  A__					,  A__      ):
        for line in if_statement.body:
            __UpperCamelCase						:						Union[str, Any]		     =	evaluate_ast(A__					,  A__					,  A__      )
            if line_result is not None:
                __UpperCamelCase						:						Optional[Any]		     =	line_result
    else:
        for line in if_statement.orelse:
            __UpperCamelCase						:						Optional[int]		     =	evaluate_ast(A__					,  A__					,  A__      )
            if line_result is not None:
                __UpperCamelCase						:						Tuple		     =	line_result
    return result







def 			_UpperCamelCase			(  _a						:						Tuple					,  _a						:						Optional[int]					,  _a						:						List[Any]      ):




    """simple docstring"""



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





from typing import TYPE_CHECKING

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


_A       =					{
    "configuration_splinter": ["SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SplinterConfig"],
    "tokenization_splinter": ["SplinterTokenizer"],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A       =					["SplinterTokenizerFast"]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A       =					[
       "SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST",
       "SplinterForQuestionAnswering",
       "SplinterForPreTraining",
       "SplinterLayer",
       "SplinterModel",
       "SplinterPreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_splinter import SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP, SplinterConfig
   from .tokenization_splinter import SplinterTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_splinter_fast import SplinterTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_splinter import (
          SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST,
          SplinterForPreTraining,
          SplinterForQuestionAnswering,
          SplinterLayer,
          SplinterModel,
          SplinterPreTrainedModel,
      )


else:
   import sys

   _A       =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

