



import unittest

from transformers.testing_utils import CaptureStdout
from transformers.tools.python_interpreter import evaluate

def     __lowercase(	UpperCAmelCase__ ):


      """simple docstring"""



      return x + 2






class    lowerCamelCase__  (						unittest.TestCase):
     """simple docstring"""



     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		"x = 3"
           lowerCamelCase								=		{}
           lowerCamelCase								=		evaluate(__a				,			{}				,			state=__a    )
           assert result == 3
           self.assertDictEqual(__a				,			{"x": 3}    )

           lowerCamelCase								=		"x = y"
           lowerCamelCase								=		{"y": 5}
           lowerCamelCase								=		evaluate(__a				,			{}				,			state=__a    )
           # evaluate returns the value of the last assignment.
           assert result == 5
           self.assertDictEqual(__a				,			{"x": 5, "y": 5}    )







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		"y = add_two(x)"
           lowerCamelCase								=		{"x": 3}
           lowerCamelCase								=		evaluate(__a				,			{"add_two": add_two}				,			state=__a    )
           assert result == 5
           self.assertDictEqual(__a				,			{"x": 3, "y": 5}    )

           # Won't work without the tool
           with CaptureStdout() as out:
                 lowerCamelCase								=		evaluate(__a				,			{}				,			state=__a    )
           assert result is None
           assert "tried to execute add_two" in out.out







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		"x = 3"
           lowerCamelCase								=		{}
           lowerCamelCase								=		evaluate(__a				,			{}				,			state=__a    )
           assert result == 3
           self.assertDictEqual(__a				,			{"x": 3}    )







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		"test_dict = {'x': x, 'y': add_two(x)}"
           lowerCamelCase								=		{"x": 3}
           lowerCamelCase								=		evaluate(__a				,			{"add_two": add_two}				,			state=__a    )
           self.assertDictEqual(__a				,			{"x": 3, "y": 5}    )
           self.assertDictEqual(__a				,			{"x": 3, "test_dict": {"x": 3, "y": 5}}    )







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		"x = 3\ny = 5"
           lowerCamelCase								=		{}
           lowerCamelCase								=		evaluate(__a				,			{}				,			state=__a    )
           # evaluate returns the value of the last assignment.
           assert result == 5
           self.assertDictEqual(__a				,			{"x": 3, "y": 5}    )







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		"text = f'This is x: {x}.'"
           lowerCamelCase								=		{"x": 3}
           lowerCamelCase								=		evaluate(__a				,			{}				,			state=__a    )
           # evaluate returns the value of the last assignment.
           assert result == "This is x: 3."
           self.assertDictEqual(__a				,			{"x": 3, "text": "This is x: 3."}    )







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		"if x <= 3:\n    y = 2\nelse:\n    y = 5"
           lowerCamelCase								=		{"x": 3}
           lowerCamelCase								=		evaluate(__a				,			{}				,			state=__a    )
           # evaluate returns the value of the last assignment.
           assert result == 2
           self.assertDictEqual(__a				,			{"x": 3, "y": 2}    )

           lowerCamelCase								=		{"x": 8}
           lowerCamelCase								=		evaluate(__a				,			{}				,			state=__a    )
           # evaluate returns the value of the last assignment.
           assert result == 5
           self.assertDictEqual(__a				,			{"x": 8, "y": 5}    )







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		"test_list = [x, add_two(x)]"
           lowerCamelCase								=		{"x": 3}
           lowerCamelCase								=		evaluate(__a				,			{"add_two": add_two}				,			state=__a    )
           self.assertListEqual(__a				,			[3, 5]    )
           self.assertDictEqual(__a				,			{"x": 3, "test_list": [3, 5]}    )







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		"y = x"
           lowerCamelCase								=		{"x": 3}
           lowerCamelCase								=		evaluate(__a				,			{}				,			state=__a    )
           assert result == 3
           self.assertDictEqual(__a				,			{"x": 3, "y": 3}    )







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		"test_list = [x, add_two(x)]\ntest_list[1]"
           lowerCamelCase								=		{"x": 3}
           lowerCamelCase								=		evaluate(__a				,			{"add_two": add_two}				,			state=__a    )
           assert result == 5
           self.assertDictEqual(__a				,			{"x": 3, "test_list": [3, 5]}    )

           lowerCamelCase								=		"test_dict = {'x': x, 'y': add_two(x)}\ntest_dict['y']"
           lowerCamelCase								=		{"x": 3}
           lowerCamelCase								=		evaluate(__a				,			{"add_two": add_two}				,			state=__a    )
           assert result == 5
           self.assertDictEqual(__a				,			{"x": 3, "test_dict": {"x": 3, "y": 5}}    )







     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		"x = 0\nfor i in range(3):\n    x = i"
           lowerCamelCase								=		{}
           lowerCamelCase								=		evaluate(__a				,			{"range": range}				,			state=__a    )
           assert result == 2
           self.assertDictEqual(__a				,			{"x": 2, "i": 2}    )




import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding





class    lowerCamelCase__  (						UpperCAmelCase_):
     """simple docstring"""



     _A       =			['image_processor', 'tokenizer']
     _A       =			'CLIPImageProcessor'
     _A       =			('CLIPTokenizer', 'CLIPTokenizerFast')







     def __init__(self				,			__a=None				,			__a=None				,			**__a    ):






           '''simple docstring'''



           lowerCamelCase								=		None
           if "feature_extractor" in kwargs:
                 warnings.warn(
                     "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
                     " instead."				,			__a				,			)
                 lowerCamelCase								=		kwargs.pop("feature_extractor"    )

           lowerCamelCase								=		image_processor if image_processor is not None else feature_extractor
           if image_processor is None:
                 raise ValueError("You need to specify an `image_processor`."    )
           if tokenizer is None:
                 raise ValueError("You need to specify a `tokenizer`."    )

           super().__init__(__a				,			__a    )







     def __call__(self				,			__a=None				,			__a=None				,			__a=None				,			**__a    ):






           '''simple docstring'''



           if text is None and images is None:
                 raise ValueError("You have to specify either text or images. Both cannot be none."    )

           if text is not None:
                 lowerCamelCase								=		self.tokenizer(__a				,			return_tensors=__a				,			**__a    )

           if images is not None:
                 lowerCamelCase								=		self.image_processor(__a				,			return_tensors=__a				,			**__a    )

           if text is not None and images is not None:
                 lowerCamelCase								=		image_features.pixel_values
                 return encoding
           elif text is not None:
                 return encoding
           else:
                 return BatchEncoding(data=dict(**__a    )				,			tensor_type=__a    )







     def 						_a      (self				,			*__a				,			**__a    ):






           '''simple docstring'''



           return self.tokenizer.batch_decode(*__a				,			**__a    )







     def 						_a      (self				,			*__a				,			**__a    ):






           '''simple docstring'''



           return self.tokenizer.decode(*__a				,			**__a    )







     @property
     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		self.tokenizer.model_input_names
           lowerCamelCase								=		self.image_processor.model_input_names
           return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names    )    )







     @property
     def 						_a      (self    ):






           '''simple docstring'''



           warnings.warn(
               "`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."				,			__a				,			)
           return self.image_processor_class







     @property
     def 						_a      (self    ):






           '''simple docstring'''



           warnings.warn(
               "`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."				,			__a				,			)
           return self.image_processor