
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCAmelCase												=	logging.get_logger(__name__)

__lowerCAmelCase												=	{
    'transfo-xl-wt103': 'https://huggingface.co/transfo-xl-wt103/resolve/main/config.json',
}


class       _lowerCAmelCase   (   lowerCamelCase__				):







							'''simple docstring'''

							lowerCAmelCase_ 						=						"transfo-xl"
							lowerCAmelCase_ 						=						["mems"]
							lowerCAmelCase_ 						=						{
							    "n_token": "vocab_size",
							    "hidden_size": "d_model",
							    "num_attention_heads": "n_head",
							    "num_hidden_layers": "n_layer",
							}

							def __init__(self  ,  UpperCAmelCase=267735  ,  UpperCAmelCase=[20000, 40000, 200000]  ,  UpperCAmelCase=1024  ,  UpperCAmelCase=1024  ,  UpperCAmelCase=16  ,  UpperCAmelCase=64  ,  UpperCAmelCase=4096  ,  UpperCAmelCase=4  ,  UpperCAmelCase=False  ,  UpperCAmelCase=18  ,  UpperCAmelCase=1600  ,  UpperCAmelCase=1000  ,  UpperCAmelCase=True  ,  UpperCAmelCase=True  ,  UpperCAmelCase=0  ,  UpperCAmelCase=-1  ,  UpperCAmelCase=True  ,  UpperCAmelCase=0.1  ,  UpperCAmelCase=0.0  ,  UpperCAmelCase=True  ,  UpperCAmelCase="normal"  ,  UpperCAmelCase=0.01  ,  UpperCAmelCase=0.01  ,  UpperCAmelCase=0.02  ,  UpperCAmelCase=1e-5  ,  UpperCAmelCase=0  ,  **UpperCAmelCase  ,  )					->       str:
														_snake_case       =  vocab_size
														_snake_case       =  []
														self.cutoffs.extend(__lowerCamelCase  )
														if proj_share_all_but_first:
																					_snake_case       =  [False] + [True] * len(self.cutoffs  )
														else:
																					_snake_case       =  [False] + [False] * len(self.cutoffs  )
														_snake_case       =  d_model
														_snake_case       =  d_embed
														_snake_case       =  d_head
														_snake_case       =  d_inner
														_snake_case       =  div_val
														_snake_case       =  pre_lnorm
														_snake_case       =  n_layer
														_snake_case       =  n_head
														_snake_case       =  mem_len
														_snake_case       =  same_length
														_snake_case       =  attn_type
														_snake_case       =  clamp_len
														_snake_case       =  sample_softmax
														_snake_case       =  adaptive
														_snake_case       =  dropout
														_snake_case       =  dropatt
														_snake_case       =  untie_r
														_snake_case       =  init
														_snake_case       =  init_range
														_snake_case       =  proj_init_std
														_snake_case       =  init_std
														_snake_case       =  layer_norm_epsilon
														super().__init__(eos_token_id=__lowerCamelCase  ,  **__lowerCamelCase  )

							@property
							def 	lowercase							(self  )					->       str:
														logger.info(f"""The model {self.model_type} is one of the few models that has no sequence length limit."""  )
														return -1





							@max_position_embeddings.setter
							def 	lowercase							(self  ,  UpperCAmelCase  )					->       int:
														raise NotImplementedError(
														    f"""The model {self.model_type} is one of the few models that has no sequence length limit."""  )

'''simple docstring'''
from random import randint, random






def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE = False							, _SCREAMING_SNAKE_CASE = False							, _SCREAMING_SNAKE_CASE = 5							, ):
							_snake_case       =  [[-1] * number_of_cells]  # Create a highway without any car
							_snake_case       =  0
							_snake_case       =  max(_SCREAMING_SNAKE_CASE							, 0				)
							while i < number_of_cells:
														_snake_case       =  (
														    randint(0							, _SCREAMING_SNAKE_CASE				) if random_speed else initial_speed
														)  # Place the cars
														i += (
														    randint(1							, max_speed * 2				) if random_frequency else frequency
														)  # Arbitrary number, may need tuning
							return highway






def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				):
							_snake_case       =  0
							_snake_case       =  highway_now[car_index + 1 :]
							for cell in range(len(_SCREAMING_SNAKE_CASE				)				):  # May need a better name for this
														if cells[cell] != -1:  # If the cell is not empty then
																					return distance  # we have the distance we wanted
														distance += 1
							# Here if the car is near the end of the highway
							return distance + get_distance(_SCREAMING_SNAKE_CASE							, -1				)






def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				):
							_snake_case       =  len(_SCREAMING_SNAKE_CASE				)
							# Beforce calculations, the highway is empty
							_snake_case       =  [-1] * number_of_cells

							for car_index in range(_SCREAMING_SNAKE_CASE				):
														if highway_now[car_index] != -1:
																					# Add 1 to the current speed of the car and cap the speed
																					_snake_case       =  min(highway_now[car_index] + 1							, _SCREAMING_SNAKE_CASE				)
																					# Number of empty cell before the next car
																					_snake_case       =  get_distance(_SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				) - 1
																					# We can't have the car causing an accident
																					_snake_case       =  min(next_highway[car_index]							, _SCREAMING_SNAKE_CASE				)
																					if random() < probability:
																												# Randomly, a driver will slow down
																												_snake_case       =  max(next_highway[car_index] - 1							, 0				)
							return next_highway






def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				):
							_snake_case       =  len(highway[0]				)

							for i in range(_SCREAMING_SNAKE_CASE				):
														_snake_case       =  update(highway[i]							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				)
														_snake_case       =  [-1] * number_of_cells

														for car_index in range(_SCREAMING_SNAKE_CASE				):
																					_snake_case       =  next_speeds_calculated[car_index]
																					if speed != -1:
																												# Change the position based on the speed (with % to create the loop)
																												_snake_case       =  (car_index + speed) % number_of_cells
																												# Commit the change of position
																												_snake_case       =  speed
														highway.append(_SCREAMING_SNAKE_CASE				)

							return highway


if __name__ == "__main__":
				import doctest

				doctest.testmod()