



'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase_	 =						logging.get_logger(__name__)

lowercase_	 =						{
    '''hustvl/yolos-small''': '''https://huggingface.co/hustvl/yolos-small/resolve/main/config.json''',
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}






class __A    (						a__		):



 '''simple docstring'''







 __lowerCamelCase					: int    = """yolos"""



 def __init__(self				,     A=768				,     A=12				,     A=12				,     A=3_072				,     A="gelu"				,     A=0.0				,     A=0.0				,     A=0.02				,     A=1E-12				,     A=[512, 864]				,     A=16				,     A=3				,     A=True				,     A=100				,     A=True				,     A=False				,     A=1				,     A=5				,     A=2				,     A=5				,     A=2				,     A=0.1				,     **A				,     )					->  Union[str, Any]:


      """simple docstring"""



      super().__init__(**lowerCAmelCase__ )

      _a											=						hidden_size
      _a											=						num_hidden_layers
      _a											=						num_attention_heads
      _a											=						intermediate_size
      _a											=						hidden_act
      _a											=						hidden_dropout_prob
      _a											=						attention_probs_dropout_prob
      _a											=						initializer_range
      _a											=						layer_norm_eps
      _a											=						image_size
      _a											=						patch_size
      _a											=						num_channels
      _a											=						qkv_bias
      _a											=						num_detection_tokens
      _a											=						use_mid_position_embeddings
      _a											=						auxiliary_loss
      # Hungarian matcher
      _a											=						class_cost
      _a											=						bbox_cost
      _a											=						giou_cost
      # Loss coefficients
      _a											=						bbox_loss_coefficient
      _a											=						giou_loss_coefficient
      _a											=						eos_coefficient






class __A    (						a__		):



 '''simple docstring'''







 __lowerCamelCase					: Tuple    = version.parse('1.11'		)



 @property
 def       a__						(self )					->  Mapping[str, Mapping[int, str]]:


      """simple docstring"""



      return OrderedDict(
          [
              ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
          ] )



 @property
 def       a__						(self )					->  float:


      """simple docstring"""



      return 1E-4



 @property
 def       a__						(self )					->  int:


      """simple docstring"""



      return 12








'''simple docstring'''





lowercase_	 =						256
# Modulus to hash a string
lowercase_	 =						1_000_003




def lowerCAmelCase						(__A						,			__A):



     """simple docstring"""



     _a											=						len(__A)
     _a											=						len(__A)
     if p_len > t_len:
          return False

     _a											=						0
     _a											=						0
     _a											=						1

     # Calculating the hash of pattern and substring of text
     for i in range(__A):
          _a											=						(ord(pattern[i]) + p_hash * alphabet_size) % modulus
          _a											=						(ord(text[i]) + text_hash * alphabet_size) % modulus
          if i == p_len - 1:
               continue
          _a											=						(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
          _a											=						(
              (text_hash - ord(text[i]) * modulus_power) * alphabet_size
              + ord(text[i + p_len])
          ) % modulus
     return False




def lowerCAmelCase						():



     """simple docstring"""



     _a											=						'''abc1abc12'''
     _a											=						'''alskfjaldsabc1abc1abc12k23adsfabcabc'''
     _a											=						'''alskfjaldsk23adsfabcabc'''
     assert rabin_karp(__A						,			__A) and not rabin_karp(__A						,			__A)

     # Test 2)
     _a											=						'''ABABX'''
     _a											=						'''ABABZABABYABABX'''
     assert rabin_karp(__A						,			__A)

     # Test 3)
     _a											=						'''AAAB'''
     _a											=						'''ABAAAAAB'''
     assert rabin_karp(__A						,			__A)

     # Test 4)
     _a											=						'''abcdabcy'''
     _a											=						'''abcxabcdabxabcdabcdabcy'''
     assert rabin_karp(__A						,			__A)

     # Test 5)
     _a											=						'''Lü'''
     _a											=						'''Lüsai'''
     assert rabin_karp(__A						,			__A)
     _a											=						'''Lue'''
     assert not rabin_karp(__A						,			__A)
     print('''Success.''')


if __name__ == "__main__":
  test_rabin_karp()



