'''simple docstring'''






import inspect
import unittest

from transformers import RegNetConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from transformers.utils import cached_property, is_vision_available

from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor


if is_flax_available():
    import jax
    import jax.numpy as jnp

    from transformers.models.regnet.modeling_flax_regnet import FlaxRegNetForImageClassification, FlaxRegNetModel

if is_vision_available():
    from PIL import Image

    from transformers import AutoImageProcessor




class    a (       unittest.TestCase				):



  """simple docstring"""







  def __init__(							self   ,    snake_case_   ,    snake_case_=3   ,    snake_case_=32   ,    snake_case_=3   ,    snake_case_=10   ,    snake_case_=[10, 20, 30, 40]   ,    snake_case_=[1, 1, 2, 1]   ,    snake_case_=True   ,    snake_case_=True   ,    snake_case_="relu"   ,    snake_case_=3   ,    snake_case_=None   ,    ):

    '''simple docstring'''







    __UpperCAmelCase:					Optional[Any]		= parent
    __UpperCAmelCase:					str		= batch_size
    __UpperCAmelCase:					Optional[int]		= image_size
    __UpperCAmelCase:					Optional[Any]		= num_channels
    __UpperCAmelCase:					int		= embeddings_size
    __UpperCAmelCase:					List[str]		= hidden_sizes
    __UpperCAmelCase:					Any		= depths
    __UpperCAmelCase:					List[str]		= is_training
    __UpperCAmelCase:					Optional[Any]		= use_labels
    __UpperCAmelCase:					List[str]		= hidden_act
    __UpperCAmelCase:					Dict		= num_labels
    __UpperCAmelCase:					Optional[Any]		= scope
    __UpperCAmelCase:					Union[str, Any]		= len(__lowerCamelCase					)







  def    lowercase_  (							self					):

    '''simple docstring'''







    __UpperCAmelCase:					int		= floats_tensor([self.batch_size, self.num_channels, self.image_size, self.image_size]					)

    __UpperCAmelCase:					List[Any]		= self.get_config()

    return config, pixel_values







  def    lowercase_  (							self					):

    '''simple docstring'''







    return RegNetConfig(
        num_channels=self.num_channels   ,    embeddings_size=self.embeddings_size   ,    hidden_sizes=self.hidden_sizes   ,    depths=self.depths   ,    hidden_act=self.hidden_act   ,    num_labels=self.num_labels   ,    image_size=self.image_size   ,    )







  def    lowercase_  (							self   ,    snake_case_   ,    snake_case_					):

    '''simple docstring'''







    __UpperCAmelCase:					Dict		= FlaxRegNetModel(config=__lowerCamelCase					)
    __UpperCAmelCase:					str		= model(__lowerCamelCase					)

    # Output shape (b, c, h, w)
    self.parent.assertEqual(
        result.last_hidden_state.shape   ,    (self.batch_size, self.hidden_sizes[-1], self.image_size // 32, self.image_size // 32)   ,    )







  def    lowercase_  (							self   ,    snake_case_   ,    snake_case_					):

    '''simple docstring'''







    __UpperCAmelCase:					str		= self.num_labels
    __UpperCAmelCase:					str		= FlaxRegNetForImageClassification(config=__lowerCamelCase					)
    __UpperCAmelCase:					Optional[Any]		= model(__lowerCamelCase					)
    self.parent.assertEqual(result.logits.shape   ,    (self.batch_size, self.num_labels)					)







  def    lowercase_  (							self					):

    '''simple docstring'''







    __UpperCAmelCase:					Optional[int]		= self.prepare_config_and_inputs()
    __UpperCAmelCase:					Dict		= config_and_inputs
    __UpperCAmelCase:					List[Any]		= {'''pixel_values''': pixel_values}
    return config, inputs_dict




@require_flax
class    a (       lowerCamelCase__						,  unittest.TestCase				):



  """simple docstring"""
  __lowerCAmelCase				      =					(FlaxRegNetModel, FlaxRegNetForImageClassification) if is_flax_available() else ()

  __lowerCAmelCase				      =					False
  __lowerCAmelCase				      =					False
  __lowerCAmelCase				      =					False







  def    lowercase_  (							self					):

    '''simple docstring'''







    __UpperCAmelCase:					List[str]		= FlaxRegNetModelTester(self					)
    __UpperCAmelCase:					Tuple		= ConfigTester(self   ,    config_class=__lowerCamelCase   ,    has_text_modality=__lowerCamelCase					)







  def    lowercase_  (							self					):

    '''simple docstring'''







    self.create_and_test_config_common_properties()
    self.config_tester.create_and_test_config_to_json_string()
    self.config_tester.create_and_test_config_to_json_file()
    self.config_tester.create_and_test_config_from_and_save_pretrained()
    self.config_tester.create_and_test_config_with_num_labels()
    self.config_tester.check_config_can_be_init_without_params()
    self.config_tester.check_config_arguments_init()







  def    lowercase_  (							self					):

    '''simple docstring'''







    return







  def    lowercase_  (							self					):

    '''simple docstring'''







    __UpperCAmelCase:					int		= self.model_tester.prepare_config_and_inputs()
    self.model_tester.create_and_check_model(*__lowerCamelCase					)







  def    lowercase_  (							self					):

    '''simple docstring'''







    __UpperCAmelCase:					Optional[Any]		= self.model_tester.prepare_config_and_inputs()
    self.model_tester.create_and_check_for_image_classification(*__lowerCamelCase					)







  @unittest.skip(reason="""RegNet does not use inputs_embeds"""					)
  def    lowercase_  (							self					):

    '''simple docstring'''







    pass







  @unittest.skip(reason="""RegNet does not support input and output embeddings"""					)
  def    lowercase_  (							self					):

    '''simple docstring'''







    pass







  def    lowercase_  (							self					):

    '''simple docstring'''







    __UpperCAmelCase:					List[Any]		= self.model_tester.prepare_config_and_inputs_for_common()

    for model_class in self.all_model_classes:
      __UpperCAmelCase:					int		= model_class(__lowerCamelCase					)
      __UpperCAmelCase:					Tuple		= inspect.signature(model.__call__					)
      # signature.parameters is an OrderedDict => so arg_names order is deterministic
      __UpperCAmelCase:					List[Any]		= [*signature.parameters.keys()]

      __UpperCAmelCase:					Optional[Any]		= ['''pixel_values''']
      self.assertListEqual(arg_names[:1]   ,    __lowerCamelCase					)







  def    lowercase_  (							self					):

    '''simple docstring'''







    def check_hidden_states_output(snake_case_   ,    snake_case_   ,    snake_case_					):
      __UpperCAmelCase:					Optional[int]		= model_class(__lowerCamelCase					)

      __UpperCAmelCase:					Any		= model(**self._prepare_for_class(__lowerCamelCase   ,    __lowerCamelCase					)					)

      __UpperCAmelCase:					Tuple		= outputs.encoder_hidden_states if config.is_encoder_decoder else outputs.hidden_states

      __UpperCAmelCase:					int		= self.model_tester.num_stages
      self.assertEqual(len(__lowerCamelCase					)   ,    expected_num_stages + 1					)

    __UpperCAmelCase:					str		= self.model_tester.prepare_config_and_inputs_for_common()

    for model_class in self.all_model_classes:
      __UpperCAmelCase:					int		= True
      check_hidden_states_output(__lowerCamelCase   ,    __lowerCamelCase   ,    __lowerCamelCase					)

      # check that output_hidden_states also work using config
      del inputs_dict["output_hidden_states"]
      __UpperCAmelCase:					Optional[int]		= True

      check_hidden_states_output(__lowerCamelCase   ,    __lowerCamelCase   ,    __lowerCamelCase					)







  def    lowercase_  (							self					):

    '''simple docstring'''







    __UpperCAmelCase:					str		= self.model_tester.prepare_config_and_inputs_for_common()

    for model_class in self.all_model_classes:
      with self.subTest(model_class.__name__					):
        __UpperCAmelCase:					Optional[Any]		= self._prepare_for_class(__lowerCamelCase   ,    __lowerCamelCase					)
        __UpperCAmelCase:					str		= model_class(__lowerCamelCase					)

        @jax.jit
        def model_jitted(snake_case_   ,    **snake_case_					):
          return model(pixel_values=__lowerCamelCase   ,    **__lowerCamelCase					)

        with self.subTest("""JIT Enabled"""					):
          __UpperCAmelCase:					str		= model_jitted(**__lowerCamelCase					).to_tuple()

        with self.subTest("""JIT Disabled"""					):
          with jax.disable_jit():
            __UpperCAmelCase:					Dict		= model_jitted(**__lowerCamelCase					).to_tuple()

        self.assertEqual(len(__lowerCamelCase					)   ,    len(__lowerCamelCase					)					)
        for jitted_output, output in zip(__lowerCamelCase   ,    __lowerCamelCase					):
          self.assertEqual(jitted_output.shape   ,    output.shape					)






def  UpperCamelCase__					(					)							->	Dict:
  __UpperCAmelCase:					Optional[int]		= Image.open("""./tests/fixtures/tests_samples/COCO/000000039769.png"""     )
  return image







@require_flax
class    a (       unittest.TestCase				):



  """simple docstring"""







  @cached_property
  def    lowercase_  (							self					):

    '''simple docstring'''







    return AutoImageProcessor.from_pretrained("""facebook/regnet-y-040"""					) if is_vision_available() else None







  @slow
  def    lowercase_  (							self					):

    '''simple docstring'''







    __UpperCAmelCase:					Union[str, Any]		= FlaxRegNetForImageClassification.from_pretrained("""facebook/regnet-y-040"""					)

    __UpperCAmelCase:					List[Any]		= self.default_image_processor
    __UpperCAmelCase:					List[Any]		= prepare_img()
    __UpperCAmelCase:					Dict		= image_processor(images=__lowerCamelCase   ,    return_tensors="""np"""					)

    __UpperCAmelCase:					int		= model(**__lowerCamelCase					)

    # verify the logits
    __UpperCAmelCase:					int		= (1, 1000)
    self.assertEqual(outputs.logits.shape   ,    __lowerCamelCase					)

    __UpperCAmelCase:					Union[str, Any]		= jnp.array([-0.4_1_8_0, -1.5_0_5_1, -3.4_8_3_6]					)

    self.assertTrue(jnp.allclose(outputs.logits[0, :3]   ,    __lowerCamelCase   ,    atol=1e-4					)					)
'''simple docstring'''






def  UpperCamelCase__					(					_lowercase    :				List[str]     )							->	Union[str, Any]:
  __UpperCAmelCase:					int		= []
  __UpperCAmelCase:					List[Any]		= []
  __UpperCAmelCase:					List[Any]		= {
      """^""": 3,
      """*""": 2,
      """/""": 2,
      """%""": 2,
      """+""": 1,
      """-""": 1,
  }  # Priority of each operator
  __UpperCAmelCase:					int		= len(_lowercase     ) if (len(_lowercase     ) > 7) else 7

  # Print table header for output
  print(
      """Symbol""".center(8     )   ,    """Stack""".center(_lowercase     )   ,    """Postfix""".center(_lowercase     )   ,    sep=""" | """   ,    )
  print("""-""" * (print_width * 3 + 7)     )

  for x in infix:
    if x.isalpha() or x.isdigit():
      post_fix.append(_lowercase     )  # if x is Alphabet / Digit, add it to Postfix
    elif x == "(":
      stack.append(_lowercase     )  # if x is "(" push to Stack
    elif x == ")":  # if x is ")" pop stack until "(" is encountered
      while stack[-1] != "(":
        post_fix.append(stack.pop()     )  # Pop stack & add the content to Postfix
      stack.pop()
    else:
      if len(_lowercase     ) == 0:
        stack.append(_lowercase     )  # If stack is empty, push x to stack
      else:  # while priority of x is not > priority of element in the stack
        while len(_lowercase     ) > 0 and priority[x] <= priority[stack[-1]]:
          post_fix.append(stack.pop()     )  # pop stack & add to Postfix
        stack.append(_lowercase     )  # push x to stack

    print(
        x.center(8     )   ,    ("""""".join(_lowercase     )).ljust(_lowercase     )   ,    ("""""".join(_lowercase     )).ljust(_lowercase     )   ,    sep=""" | """   ,    )  # Output in tabular format

  while len(_lowercase     ) > 0:  # while stack is not empty
    post_fix.append(stack.pop()     )  # pop stack & add to Postfix
    print(
        """ """.center(8     )   ,    ("""""".join(_lowercase     )).ljust(_lowercase     )   ,    ("""""".join(_lowercase     )).ljust(_lowercase     )   ,    sep=""" | """   ,    )  # Output in tabular format

  return "".join(_lowercase     )  # return Postfix as str






def  UpperCamelCase__					(					_lowercase    :				str     )							->	Tuple:
  __UpperCAmelCase:					Union[str, Any]		= list(infix[::-1]     )  # reverse the infix equation

  for i in range(len(_lowercase     )     ):
    if infix[i] == "(":
      __UpperCAmelCase:					Tuple		= """)"""  # change "(" to ")"
    elif infix[i] == ")":
      __UpperCAmelCase:					Union[str, Any]		= """("""  # change ")" to "("

  return (infix_2_postfix("""""".join(_lowercase     )     ))[
      ::-1
  ]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
    SCREAMING_SNAKE_CASE_	   =			input('\nEnter an Infix Equation = ')  # Input an Infix equation
    SCREAMING_SNAKE_CASE_	   =			''.join(Infix.split())  # Remove spaces from the input
    print('\n\t', Infix, '(Infix) -> ', infix_2_prefix(Infix), '(Prefix)')