# 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			(							__snake_case					):
      pass





def   a_					(_lowerCAmelCase  :   Optional[Any]			,	_lowerCAmelCase  :   Dict			,	_lowerCAmelCase  :   Tuple=None			,	_lowerCAmelCase  :   int=False       )->				List[Any]:


    try:
        snake_case:						str         =   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:
        snake_case:						Tuple         =   {}
    snake_case:						Any         =   None
    for idx, node in enumerate(expression.body       ):
        try:
            snake_case:						Any         =   evaluate_ast(__snake_case			,	__snake_case			,	__snake_case       )
        except InterpretorError as e:
            snake_case:						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(__snake_case       )
            break
        if line_result is not None:
            snake_case:						Optional[int]         =   line_result

    return result

def   a_					(_lowerCAmelCase  :   Optional[Any]			,	_lowerCAmelCase  :   Union[str, Any]			,	_lowerCAmelCase  :   List[str]       )->				List[str]:


    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
        snake_case:						Optional[int]         =   [evaluate_ast(__snake_case			,	__snake_case			,	__snake_case       ) for k in expression.keys]
        snake_case:						int         =   [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   a_					(_lowerCAmelCase  :   str			,	_lowerCAmelCase  :   Optional[int]			,	_lowerCAmelCase  :   List[Any]       )->				Union[str, Any]:
    snake_case:						List[Any]         =   assign.targets
    snake_case:						Optional[Any]         =   evaluate_ast(assign.value			,	__snake_case			,	__snake_case       )

    if len(__snake_case       ) == 1:
        snake_case:						Tuple         =   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       ):
            snake_case:						Dict         =   r
    return result

def   a_					(_lowerCAmelCase  :   Any			,	_lowerCAmelCase  :   Dict			,	_lowerCAmelCase  :   Dict       )->				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       )}."       )
    snake_case:						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})."       )

    snake_case:						Optional[int]         =   tools[func_name]
    # Todo deal with args
    snake_case:						int         =   [evaluate_ast(__snake_case			,	__snake_case			,	__snake_case       ) for arg in call.args]
    snake_case:						Optional[int]         =   {keyword.arg: evaluate_ast(keyword.value			,	__snake_case			,	__snake_case       ) for keyword in call.keywords}
    return func(*__snake_case			,	**__snake_case       )

def   a_					(_lowerCAmelCase  :   Tuple			,	_lowerCAmelCase  :   int			,	_lowerCAmelCase  :   Optional[int]       )->				Union[str, Any]:
    snake_case:						List[str]         =   evaluate_ast(subscript.slice			,	__snake_case			,	__snake_case       )
    snake_case:						Tuple         =   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       ):
        snake_case:						Optional[int]         =   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   a_					(_lowerCAmelCase  :   Dict			,	_lowerCAmelCase  :   Optional[Any]			,	_lowerCAmelCase  :   Tuple       )->				Union[str, Any]:


    if name.id in state:
        return state[name.id]
    snake_case:						List[str]         =   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   a_					(_lowerCAmelCase  :   Dict			,	_lowerCAmelCase  :   Optional[int]			,	_lowerCAmelCase  :   Optional[int]       )->				int:


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

    snake_case:						List[Any]         =   evaluate_ast(condition.left			,	__snake_case			,	__snake_case       )
    snake_case:						int         =   condition.ops[0]
    snake_case:						Dict         =   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   a_					(_lowerCAmelCase  :   Tuple			,	_lowerCAmelCase  :   str			,	_lowerCAmelCase  :   int       )->				Dict:
    snake_case:						Optional[int]         =   None
    if evaluate_condition(if_statement.test			,	__snake_case			,	__snake_case       ):
        for line in if_statement.body:
            snake_case:						str         =   evaluate_ast(__snake_case			,	__snake_case			,	__snake_case       )
            if line_result is not None:
                snake_case:						List[Any]         =   line_result
    else:
        for line in if_statement.orelse:
            snake_case:						Dict         =   evaluate_ast(__snake_case			,	__snake_case			,	__snake_case       )
            if line_result is not None:
                snake_case:						List[str]         =   line_result
    return result




def   a_					(_lowerCAmelCase  :   Dict			,	_lowerCAmelCase  :   Optional[int]			,	_lowerCAmelCase  :   List[Any]       )->				Dict:
    snake_case:						str         =   None
    snake_case:						List[Any]         =   evaluate_ast(for_loop.iter			,	__snake_case			,	__snake_case       )
    for counter in iterator:
        snake_case:						Any         =   counter
        for expression in for_loop.body:
            snake_case:						Tuple         =   evaluate_ast(__snake_case			,	__snake_case			,	__snake_case       )
            if line_result is not None:
                snake_case:						Optional[int]         =   line_result
    return result






from typing import TYPE_CHECKING

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


UpperCAmelCase__        =				{
    '''configuration_flaubert''': ['''FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''FlaubertConfig''', '''FlaubertOnnxConfig'''],
    '''tokenization_flaubert''': ['''FlaubertTokenizer'''],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__        =				[
      '''FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''FlaubertForMultipleChoice''',
      '''FlaubertForQuestionAnswering''',
      '''FlaubertForQuestionAnsweringSimple''',
      '''FlaubertForSequenceClassification''',
      '''FlaubertForTokenClassification''',
      '''FlaubertModel''',
      '''FlaubertWithLMHeadModel''',
      '''FlaubertPreTrainedModel''',
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__        =				[
      '''TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''TFFlaubertForMultipleChoice''',
      '''TFFlaubertForQuestionAnsweringSimple''',
      '''TFFlaubertForSequenceClassification''',
      '''TFFlaubertForTokenClassification''',
      '''TFFlaubertModel''',
      '''TFFlaubertPreTrainedModel''',
      '''TFFlaubertWithLMHeadModel''',
  ]


if TYPE_CHECKING:
  from .configuration_flaubert import FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, FlaubertConfig, FlaubertOnnxConfig
  from .tokenization_flaubert import FlaubertTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_flaubert import (
        FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
        FlaubertForMultipleChoice,
        FlaubertForQuestionAnswering,
        FlaubertForQuestionAnsweringSimple,
        FlaubertForSequenceClassification,
        FlaubertForTokenClassification,
        FlaubertModel,
        FlaubertPreTrainedModel,
        FlaubertWithLMHeadModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_flaubert import (
        TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFFlaubertForMultipleChoice,
        TFFlaubertForQuestionAnsweringSimple,
        TFFlaubertForSequenceClassification,
        TFFlaubertForTokenClassification,
        TFFlaubertModel,
        TFFlaubertPreTrainedModel,
        TFFlaubertWithLMHeadModel,
    )

else:
  import sys

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

