





'''simple docstring'''


import unittest

import numpy as np

from transformers import AlbertConfig, 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.albert.modeling_flax_albert import (
     FlaxAlbertForMaskedLM,
     FlaxAlbertForMultipleChoice,
     FlaxAlbertForPreTraining,
     FlaxAlbertForQuestionAnswering,
     FlaxAlbertForSequenceClassification,
     FlaxAlbertForTokenClassification,
     FlaxAlbertModel,
 )
class       a_   (				unittest.TestCase							):





     def __init__( self		:					Any	,      lowercase		:					Dict	,      lowercase		:					Tuple=13	,      lowercase		:					Union[str, Any]=7	,      lowercase		:					Dict=True	,      lowercase		:					str=True	,      lowercase		:					int=True	,      lowercase		:					Optional[Any]=True	,      lowercase		:					str=99	,      lowercase		:					Optional[Any]=32	,      lowercase		:					int=5	,      lowercase		:					str=4	,      lowercase		:					Union[str, Any]=37	,      lowercase		:					List[Any]="gelu"	,      lowercase		:					str=0.1	,      lowercase		:					str=0.1	,      lowercase		:					str=512	,      lowercase		:					int=16	,      lowercase		:					List[Any]=2	,      lowercase		:					List[Any]=0.02	,      lowercase		:					str=4	,      ):





        """simple docstring"""




        lowercase_			:str    			= parent
        lowercase_			:Union[str, Any]    			= batch_size
        lowercase_			:Union[str, Any]    			= seq_length
        lowercase_			:Any    			= is_training
        lowercase_			:Tuple    			= use_attention_mask
        lowercase_			:Dict    			= use_token_type_ids
        lowercase_			:Any    			= use_labels
        lowercase_			:Union[str, Any]    			= vocab_size
        lowercase_			:Optional[Any]    			= hidden_size
        lowercase_			:Any    			= num_hidden_layers
        lowercase_			:Optional[Any]    			= num_attention_heads
        lowercase_			:Any    			= intermediate_size
        lowercase_			:Optional[int]    			= hidden_act
        lowercase_			:List[Any]    			= hidden_dropout_prob
        lowercase_			:Union[str, Any]    			= attention_probs_dropout_prob
        lowercase_			:int    			= max_position_embeddings
        lowercase_			:Optional[int]    			= type_vocab_size
        lowercase_			:List[str]    			= type_sequence_label_size
        lowercase_			:Union[str, Any]    			= initializer_range
        lowercase_			:List[str]    			= num_choices





     def 							lowercase__      ( self		:					Any						):





        """simple docstring"""




        lowercase_			:str    			= ids_tensor([self.batch_size, self.seq_length]	,      self.vocab_size						)

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

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

        lowercase_			:Union[str, Any]    			= AlbertConfig(
            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=lowercase	,      initializer_range=self.initializer_range	,      )

        return config, input_ids, token_type_ids, attention_mask







     def 							lowercase__      ( self		:					Tuple						):





        """simple docstring"""




        lowercase_			:Dict    			= self.prepare_config_and_inputs()
        lowercase_			,							lowercase_			,							lowercase_			,							lowercase_			:Union[str, Any]    			= config_and_inputs
        lowercase_			:Union[str, Any]    			= {"input_ids": input_ids, "token_type_ids": token_type_ids, "attention_mask": attention_mask}
        return config, inputs_dict







@require_flax
class       a_   (				_lowerCAmelCase	,						unittest.TestCase							):
     __A      =			(
         (
             FlaxAlbertModel,
             FlaxAlbertForPreTraining,
             FlaxAlbertForMaskedLM,
             FlaxAlbertForMultipleChoice,
             FlaxAlbertForQuestionAnswering,
             FlaxAlbertForSequenceClassification,
             FlaxAlbertForTokenClassification,
             FlaxAlbertForQuestionAnswering,
         )
         if is_flax_available()
         else ()
     )





     def 							lowercase__      ( self		:					Union[str, Any]						):





        """simple docstring"""




        lowercase_			:List[str]    			= FlaxAlbertModelTester(self						)







     @slow
     def 							lowercase__      ( self		:					str						):





        """simple docstring"""




        for model_class_name in self.all_model_classes:
           lowercase_			:List[Any]    			= model_class_name.from_pretrained("albert-base-v2"						)
           lowercase_			:int    			= model(np.ones((1, 1)						)						)
           self.assertIsNotNone(lowercase						)







@require_flax
class       a_   (				unittest.TestCase							):





     @slow
     def 							lowercase__      ( self		:					int						):





        """simple docstring"""




        lowercase_			:Union[str, Any]    			= FlaxAlbertModel.from_pretrained("albert-base-v2"						)
        lowercase_			:str    			= np.array([[0, 345, 232, 328, 740, 140, 1_695, 69, 6_078, 1_588, 2]]						)
        lowercase_			:List[str]    			= np.array([[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]						)
        lowercase_			:int    			= model(lowercase	,      attention_mask=lowercase						)[0]
        lowercase_			:Any    			= (1, 11, 768)
        self.assertEqual(output.shape	,      lowercase						)
        lowercase_			:Dict    			= np.array(
            [[[-0.65_13, 1.50_35, -0.27_66], [-0.65_15, 1.50_46, -0.27_80], [-0.65_12, 1.50_49, -0.27_84]]]						)

        self.assertTrue(jnp.allclose(output[:, 1:4, 1:4]	,      lowercase	,      atol=1e-4						)						)









'''simple docstring'''


lowerCAmelCase					:     Optional[int]												=256
# Modulus to hash a string
lowerCAmelCase					:     Tuple												=1_000_003
def 							UpperCAmelCase_  (						__lowerCamelCase					:					str	,__lowerCamelCase					:					str ):
   lowercase_			:Dict    			= len(__lowerCamelCase )
   lowercase_			:int    			= len(__lowerCamelCase )
   if p_len > t_len:
      return False

   lowercase_			:Any    			= 0
   lowercase_			:Dict    			= 0
   lowercase_			:int    			= 1

   # Calculating the hash of pattern and substring of text
   for i in range(__lowerCamelCase ):
      lowercase_			:Union[str, Any]    			= (ord(pattern[i] ) + p_hash * alphabet_size) % modulus
      lowercase_			:Tuple    			= (ord(text[i] ) + text_hash * alphabet_size) % modulus
      if i == p_len - 1:
         continue
      lowercase_			:Tuple    			= (modulus_power * alphabet_size) % modulus

   for i in range(0	,t_len - p_len + 1 ):
      if text_hash == p_hash and text[i : i + p_len] == pattern:
         return True
      if i == t_len - p_len:
         continue
      # Calculate the https://en.wikipedia.org/wiki/Rolling_hash
      lowercase_			:Tuple    			= (
          (text_hash - ord(text[i] ) * modulus_power) * alphabet_size
          + ord(text[i + p_len] )
      ) % modulus
   return False
def 							UpperCAmelCase_  (						):
   lowercase_			:List[Any]    			= "abc1abc12"
   lowercase_			:List[str]    			= "alskfjaldsabc1abc1abc12k23adsfabcabc"
   lowercase_			:int    			= "alskfjaldsk23adsfabcabc"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase ) and not rabin_karp(__lowerCamelCase	,__lowerCamelCase )

   # Test 2)
   lowercase_			:Union[str, Any]    			= "ABABX"
   lowercase_			:Optional[Any]    			= "ABABZABABYABABX"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase )

   # Test 3)
   lowercase_			:Dict    			= "AAAB"
   lowercase_			:int    			= "ABAAAAAB"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase )

   # Test 4)
   lowercase_			:Tuple    			= "abcdabcy"
   lowercase_			:Union[str, Any]    			= "abcxabcdabxabcdabcdabcy"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase )

   # Test 5)
   lowercase_			:Tuple    			= "Lü"
   lowercase_			:List[Any]    			= "Lüsai"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase )
   lowercase_			:str    			= "Lue"
   assert not rabin_karp(__lowerCamelCase	,__lowerCamelCase )
   print("Success." )


if __name__ == "__main__":
 test_rabin_karp()


