



# 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		(							UpperCAmelCase__						):
   pass


def 						UpperCAmelCase__   (   UpperCAmelCase__			:str			,       UpperCAmelCase__			:Dict[str, Callable]			,       UpperCAmelCase__			:Optional[Any]=None			,       UpperCAmelCase__			:Optional[int]=False       ):






 '''simple docstring'''

 try:
  a							=		ast.parse(UpperCAmelCase__       )
 except SyntaxError as e:
  print("The code generated by the agent is not valid.\n"			,       UpperCAmelCase__       )
  return
 if state is None:
  a							=		{}
 a							=		None
 for idx, node in enumerate(expression.body       ):
  try:
   a							=		evaluate_ast(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       )
  except InterpretorError as e:
   a							=		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(UpperCAmelCase__       )
   break
  if line_result is not None:
   a							=		line_result

 return result


def 						UpperCAmelCase__   (   UpperCAmelCase__			:ast.AST			,       UpperCAmelCase__			:Dict[str, Any]			,       UpperCAmelCase__			:Dict[str, Callable]       ):






 '''simple docstring'''

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






 '''simple docstring'''

 a							=		assign.targets
 a							=		evaluate_ast(assign.value			,       UpperCAmelCase__			,       UpperCAmelCase__       )

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


def 						UpperCAmelCase__   (   UpperCAmelCase__			:int			,       UpperCAmelCase__			:str			,       UpperCAmelCase__			:Tuple       ):






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


def 						UpperCAmelCase__   (   UpperCAmelCase__			:str			,       UpperCAmelCase__			:List[str]			,       UpperCAmelCase__			:Union[str, Any]       ):






 '''simple docstring'''

 a							=		evaluate_ast(subscript.slice			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 a							=		evaluate_ast(subscript.value			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 if isinstance(UpperCAmelCase__			,       (list, tuple)       ):
  return value[int(UpperCAmelCase__       )]
 if index in value:
  return value[index]
 if isinstance(UpperCAmelCase__			,       UpperCAmelCase__       ) and isinstance(UpperCAmelCase__			,       UpperCAmelCase__       ):
  a							=		difflib.get_close_matches(UpperCAmelCase__			,       list(value.keys()       )       )
  if len(UpperCAmelCase__       ) > 0:
   return value[close_matches[0]]

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


def 						UpperCAmelCase__   (   UpperCAmelCase__			:Tuple			,       UpperCAmelCase__			:Optional[Any]			,       UpperCAmelCase__			:int       ):






 '''simple docstring'''

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


def 						UpperCAmelCase__   (   UpperCAmelCase__			:Optional[Any]			,       UpperCAmelCase__			:Optional[int]			,       UpperCAmelCase__			:Optional[Any]       ):






 '''simple docstring'''

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

 a							=		evaluate_ast(condition.left			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 a							=		condition.ops[0]
 a							=		evaluate_ast(condition.comparators[0]			,       UpperCAmelCase__			,       UpperCAmelCase__       )

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


def 						UpperCAmelCase__   (   UpperCAmelCase__			:int			,       UpperCAmelCase__			:List[str]			,       UpperCAmelCase__			:List[Any]       ):






 '''simple docstring'''

 a							=		None
 if evaluate_condition(if_statement.test			,       UpperCAmelCase__			,       UpperCAmelCase__       ):
  for line in if_statement.body:
   a							=		evaluate_ast(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       )
   if line_result is not None:
    a							=		line_result
 else:
  for line in if_statement.orelse:
   a							=		evaluate_ast(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       )
   if line_result is not None:
    a							=		line_result
 return result




def 						UpperCAmelCase__   (   UpperCAmelCase__			:Dict			,       UpperCAmelCase__			:List[str]			,       UpperCAmelCase__			:Union[str, Any]       ):






 '''simple docstring'''

 a							=		None
 a							=		evaluate_ast(for_loop.iter			,       UpperCAmelCase__			,       UpperCAmelCase__       )
 for counter in iterator:
  a							=		counter
  for expression in for_loop.body:
   a							=		evaluate_ast(UpperCAmelCase__			,       UpperCAmelCase__			,       UpperCAmelCase__       )
   if line_result is not None:
    a							=		line_result
 return result








import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
       from PIL import Image

       from transformers import AutoProcessor, BertTokenizer, CLIPImageProcessor, GitProcessor, PreTrainedTokenizerFast

@require_vision
class 			__A(    unittest.TestCase			):

     def 						_UpperCamelCase  (   self   ):





            """simple docstring"""

            _UpperCamelCase														=    tempfile.mkdtemp()

            _UpperCamelCase														=    CLIPImageProcessor()
            _UpperCamelCase														=    BertTokenizer.from_pretrained(
                '''hf-internal-testing/tiny-random-BertModel''',							model_input_names=['''input_ids''', '''attention_mask''']   )

            _UpperCamelCase														=    GitProcessor(A,							A   )

            processor.save_pretrained(self.tmpdirname   )

     def 						_UpperCamelCase  (   self,							**A   ):





            """simple docstring"""

            return AutoProcessor.from_pretrained(self.tmpdirname,							**A   ).tokenizer

     def 						_UpperCamelCase  (   self,							**A   ):





            """simple docstring"""

            return AutoProcessor.from_pretrained(self.tmpdirname,							**A   ).image_processor

     def 						_UpperCamelCase  (   self   ):





            """simple docstring"""

            shutil.rmtree(self.tmpdirname   )

     def 						_UpperCamelCase  (   self   ):





            """simple docstring"""

            _UpperCamelCase														=    [np.random.randint(255,							size=(3, 30, 400),							dtype=np.uinta   )]

            _UpperCamelCase														=    [Image.fromarray(np.moveaxis(A,							0,							-1   )   ) for x in image_inputs]

            return image_inputs

     def 						_UpperCamelCase  (   self   ):





            """simple docstring"""

            _UpperCamelCase														=    GitProcessor(tokenizer=self.get_tokenizer(),							image_processor=self.get_image_processor()   )
            processor.save_pretrained(self.tmpdirname   )

            _UpperCamelCase														=    self.get_tokenizer(bos_token='''(BOS)''',							eos_token='''(EOS)'''   )
            _UpperCamelCase														=    self.get_image_processor(do_normalize=A,							padding_value=1.0   )

            _UpperCamelCase														=    GitProcessor.from_pretrained(
                self.tmpdirname,							bos_token='''(BOS)''',							eos_token='''(EOS)''',							do_normalize=A,							padding_value=1.0   )

            self.assertEqual(processor.tokenizer.get_vocab(),							tokenizer_add_kwargs.get_vocab()   )
            self.assertIsInstance(processor.tokenizer,							A   )

            self.assertEqual(processor.image_processor.to_json_string(),							image_processor_add_kwargs.to_json_string()   )
            self.assertIsInstance(processor.image_processor,							A   )

     def 						_UpperCamelCase  (   self   ):





            """simple docstring"""

            _UpperCamelCase														=    self.get_image_processor()
            _UpperCamelCase														=    self.get_tokenizer()

            _UpperCamelCase														=    GitProcessor(tokenizer=A,							image_processor=A   )

            _UpperCamelCase														=    self.prepare_image_inputs()

            _UpperCamelCase														=    image_processor(A,							return_tensors='''np'''   )
            _UpperCamelCase														=    processor(images=A,							return_tensors='''np'''   )

            for key in input_feat_extract.keys():
                   self.assertAlmostEqual(input_feat_extract[key].sum(),							input_processor[key].sum(),							delta=1E-2   )

     def 						_UpperCamelCase  (   self   ):





            """simple docstring"""

            _UpperCamelCase														=    self.get_image_processor()
            _UpperCamelCase														=    self.get_tokenizer()

            _UpperCamelCase														=    GitProcessor(tokenizer=A,							image_processor=A   )

            _UpperCamelCase														=    '''lower newer'''

            _UpperCamelCase														=    processor(text=A   )

            _UpperCamelCase														=    tokenizer(A,							return_token_type_ids=A   )

            for key in encoded_tok.keys():
                   self.assertListEqual(encoded_tok[key],							encoded_processor[key]   )

     def 						_UpperCamelCase  (   self   ):





            """simple docstring"""

            _UpperCamelCase														=    self.get_image_processor()
            _UpperCamelCase														=    self.get_tokenizer()

            _UpperCamelCase														=    GitProcessor(tokenizer=A,							image_processor=A   )

            _UpperCamelCase														=    '''lower newer'''
            _UpperCamelCase														=    self.prepare_image_inputs()

            _UpperCamelCase														=    processor(text=A,							images=A   )

            self.assertListEqual(list(inputs.keys()   ),							['''input_ids''', '''attention_mask''', '''pixel_values''']   )

            # test if it raises when no input is passed
            with pytest.raises(A   ):
                   processor()

     def 						_UpperCamelCase  (   self   ):





            """simple docstring"""

            _UpperCamelCase														=    self.get_image_processor()
            _UpperCamelCase														=    self.get_tokenizer()

            _UpperCamelCase														=    GitProcessor(tokenizer=A,							image_processor=A   )

            _UpperCamelCase														=    [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

            _UpperCamelCase														=    processor.batch_decode(A   )
            _UpperCamelCase														=    tokenizer.batch_decode(A   )

            self.assertListEqual(A,							A   )



     def 						_UpperCamelCase  (   self   ):





            """simple docstring"""

            _UpperCamelCase														=    self.get_image_processor()
            _UpperCamelCase														=    self.get_tokenizer()

            _UpperCamelCase														=    GitProcessor(tokenizer=A,							image_processor=A   )

            _UpperCamelCase														=    '''lower newer'''
            _UpperCamelCase														=    self.prepare_image_inputs()

            _UpperCamelCase														=    processor(text=A,							images=A   )

            # For now the processor supports only ['input_ids', 'attention_mask', 'pixel_values']
            self.assertListEqual(list(inputs.keys()   ),							['''input_ids''', '''attention_mask''', '''pixel_values''']   )






