



import unittest

import numpy as np

from transformers import RoFormerConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask


if is_flax_available():
    import jax.numpy as jnp

    from transformers.models.roformer.modeling_flax_roformer import (
        FlaxRoFormerForMaskedLM,
        FlaxRoFormerForMultipleChoice,
        FlaxRoFormerForQuestionAnswering,
        FlaxRoFormerForSequenceClassification,
        FlaxRoFormerForTokenClassification,
        FlaxRoFormerModel,
    )

class 				snake_case__(unittest.TestCase      ):

     """simple docstring"""






     def __init__(							self :     str				,       SCREAMING_SNAKE_CASE :     Union[str, Any]				,       SCREAMING_SNAKE_CASE :     Optional[Any]=13				,       SCREAMING_SNAKE_CASE :     Optional[int]=7				,       SCREAMING_SNAKE_CASE :     Union[str, Any]=True				,       SCREAMING_SNAKE_CASE :     Dict=True				,       SCREAMING_SNAKE_CASE :     List[str]=True				,       SCREAMING_SNAKE_CASE :     int=True				,       SCREAMING_SNAKE_CASE :     Dict=99				,       SCREAMING_SNAKE_CASE :     int=32				,       SCREAMING_SNAKE_CASE :     int=5				,       SCREAMING_SNAKE_CASE :     Optional[int]=4				,       SCREAMING_SNAKE_CASE :     Any=37				,       SCREAMING_SNAKE_CASE :     Dict="gelu"				,       SCREAMING_SNAKE_CASE :     List[str]=0.1				,       SCREAMING_SNAKE_CASE :     List[str]=0.1				,       SCREAMING_SNAKE_CASE :     Optional[Any]=512				,       SCREAMING_SNAKE_CASE :     str=16				,       SCREAMING_SNAKE_CASE :     str=2				,       SCREAMING_SNAKE_CASE :     int=0.02				,       SCREAMING_SNAKE_CASE :     Union[str, Any]=4				,       ):
         lowercase__					:   Optional[Any]													=					parent
         lowercase__					:   List[Any]													=					batch_size
         lowercase__					:   List[Any]													=					seq_length
         lowercase__					:   List[str]													=					is_training
         lowercase__					:   int													=					use_attention_mask
         lowercase__					:   Optional[int]													=					use_token_type_ids
         lowercase__					:   Dict													=					use_labels
         lowercase__					:   Tuple													=					vocab_size
         lowercase__					:   Union[str, Any]													=					hidden_size
         lowercase__					:   Dict													=					num_hidden_layers
         lowercase__					:   List[str]													=					num_attention_heads
         lowercase__					:   str													=					intermediate_size
         lowercase__					:   List[str]													=					hidden_act
         lowercase__					:   str													=					hidden_dropout_prob
         lowercase__					:   Optional[Any]													=					attention_probs_dropout_prob
         lowercase__					:   Union[str, Any]													=					max_position_embeddings
         lowercase__					:   int													=					type_vocab_size
         lowercase__					:   List[str]													=					type_sequence_label_size
         lowercase__					:   List[Any]													=					initializer_range
         lowercase__					:   List[Any]													=					num_choices







     def 			snake_case					(							self :     Optional[Any]					):
         lowercase__					:   int													=					ids_tensor([self.batch_size, self.seq_length]				,       self.vocab_size					)

         lowercase__					:   List[str]													=					None
         if self.use_attention_mask:
             lowercase__					:   List[str]													=					random_attention_mask([self.batch_size, self.seq_length]					)

         lowercase__					:   Union[str, Any]													=					None
         if self.use_token_type_ids:
             lowercase__					:   Union[str, Any]													=					ids_tensor([self.batch_size, self.seq_length]				,       self.type_vocab_size					)

         lowercase__					:   Optional[int]													=					RoFormerConfig(
             vocab_size=self.vocab_size				,       hidden_size=self.hidden_size				,       num_hidden_layers=self.num_hidden_layers				,       num_attention_heads=self.num_attention_heads				,       intermediate_size=self.intermediate_size				,       hidden_act=self.hidden_act				,       hidden_dropout_prob=self.hidden_dropout_prob				,       attention_probs_dropout_prob=self.attention_probs_dropout_prob				,       max_position_embeddings=self.max_position_embeddings				,       type_vocab_size=self.type_vocab_size				,       is_decoder=SCREAMING_SNAKE_CASE				,       initializer_range=self.initializer_range				,       )

         return config, input_ids, token_type_ids, attention_mask







     def 			snake_case					(							self :     str					):
         lowercase__					:   List[str]													=					self.prepare_config_and_inputs()
         lowercase__					:   str													=					config_and_inputs
         lowercase__					:   Optional[Any]													=					{"input_ids": input_ids, "token_type_ids": token_type_ids, "attention_mask": attention_mask}
         return config, inputs_dict






@require_flax
class 				snake_case__(_UpperCamelCase    ,      unittest.TestCase      ):

     """simple docstring"""






     lowercase_								=		True

     lowercase_								=		(
         (
             FlaxRoFormerModel,
             FlaxRoFormerForMaskedLM,
             FlaxRoFormerForSequenceClassification,
             FlaxRoFormerForTokenClassification,
             FlaxRoFormerForMultipleChoice,
             FlaxRoFormerForQuestionAnswering,
         )
         if is_flax_available()
         else ()
     )







     def 			snake_case					(							self :     str					):
         lowercase__					:   int													=					FlaxRoFormerModelTester(self					)







     @slow
     def 			snake_case					(							self :     Tuple					):
         for model_class_name in self.all_model_classes:
             lowercase__					:   Tuple													=					model_class_name.from_pretrained("junnyu/roformer_chinese_small"				,       from_pt=SCREAMING_SNAKE_CASE					)
             lowercase__					:   str													=					model(np.ones((1, 1)					)					)
             self.assertIsNotNone(SCREAMING_SNAKE_CASE					)






@require_flax
class 				snake_case__(unittest.TestCase      ):

     """simple docstring"""






     @slow
     def 			snake_case					(							self :     Any					):
         lowercase__					:   List[Any]													=					FlaxRoFormerForMaskedLM.from_pretrained("junnyu/roformer_chinese_base"					)
         lowercase__					:   Tuple													=					jnp.array([[0, 1, 2, 3, 4, 5]]					)
         lowercase__					:   Tuple													=					model(SCREAMING_SNAKE_CASE					)[0]

         lowercase__					:   Optional[int]													=					50_000

         lowercase__					:   int													=					(1, 6, vocab_size)
         self.assertEqual(output.shape				,       SCREAMING_SNAKE_CASE					)

         lowercase__					:   int													=					jnp.array(
             [[[-0.1_205, -1.0_265, 0.2_922], [-1.5_134, 0.1_974, 0.1_519], [-5.0_135, -3.9_003, -0.8_404]]]					)

         self.assertTrue(jnp.allclose(output[:, :3, :3]				,       SCREAMING_SNAKE_CASE				,       atol=1E-4					)					)









def  __lowerCamelCase (       lowerCamelCase__						):

				"""simple docstring"""


				lowercase__					:   Union[str, Any]													=					[]
				lowercase__					:   Tuple													=					[]
				lowercase__					:   Any													=					{
				    "^": 3,
				    "*": 2,
				    "/": 2,
				    "%": 2,
				    "+": 1,
				    "-": 1,
				}  # Priority of each operator
				lowercase__					:   Any													=					len(lowerCamelCase__						) if (len(lowerCamelCase__						) > 7) else 7

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

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

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

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

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


def  __lowerCamelCase (       lowerCamelCase__						):

				"""simple docstring"""


				lowercase__					:   Optional[int]													=					list(infix[::-1]						)  # reverse the infix equation

				for i in range(len(lowerCamelCase__						)						):
								if infix[i] == "(":
												lowercase__					:   Tuple													=					")"  # change "(" to ")"
								elif infix[i] == ")":
												lowercase__					:   Optional[Any]													=					"("  # change ")" to "("

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


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




