




"""simple docstring"""

from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

a							      =     TypeVar('''KEY''')
a							      =     TypeVar('''VAL''')





@dataclass(frozen=__lowerCAmelCase     ,      slots=__lowerCAmelCase				)
class 							lowercase_			(	Generic[KEY, VAL]				):



 '''simple docstring'''
 UpperCAmelCase       :	KEY
 UpperCAmelCase       :	VAL





class 							lowercase_			(	_Item				):



 '''simple docstring'''

 def __init__(					self			:			Optional[int]						):
       super().__init__(_UpperCAmelCase       ,				_UpperCAmelCase						)



 def __bool__(					self			:			Dict						):
       return False



a							      =     _DeletedItem()





class 							lowercase_			(	MutableMapping[KEY, VAL]				):



 '''simple docstring'''

 def __init__(					self			:			Union[str, Any]       ,				_UpperCAmelCase			:			int = 8       ,				_UpperCAmelCase			:			float = 0.75						):
       _A     =  initial_block_size
       _A     =  [None] * initial_block_size
       assert 0.0 < capacity_factor < 1.0
       _A     =  capacity_factor
       _A     =  0

 def      lowerCAmelCase_				(					self			:			Union[str, Any]       ,				_UpperCAmelCase			:			KEY						):
       return hash(_UpperCAmelCase						) % len(self._buckets						)

 def      lowerCAmelCase_				(					self			:			Dict       ,				_UpperCAmelCase			:			int						):
       return (ind + 1) % len(self._buckets						)

 def      lowerCAmelCase_				(					self			:			str       ,				_UpperCAmelCase			:			int       ,				_UpperCAmelCase			:			KEY       ,				_UpperCAmelCase			:			VAL						):
       _A     =  self._buckets[ind]
       if not stored:
             _A     =  _Item(_UpperCAmelCase       ,				_UpperCAmelCase						)
             self._len += 1
             return True
       elif stored.key == key:
             _A     =  _Item(_UpperCAmelCase       ,				_UpperCAmelCase						)
             return True
       else:
             return False

 def      lowerCAmelCase_				(					self			:			Union[str, Any]						):
       _A     =  len(self._buckets						) * self._capacity_factor
       return len(self						) >= int(_UpperCAmelCase						)

 def      lowerCAmelCase_				(					self			:			List[str]						):
       if len(self._buckets						) <= self._initial_block_size:
             return False
       _A     =  len(self._buckets						) * self._capacity_factor / 2
       return len(self						) < limit

 def      lowerCAmelCase_				(					self			:			List[str]       ,				_UpperCAmelCase			:			int						):
       _A     =  self._buckets
       _A     =  [None] * new_size
       _A     =  0
       for item in old_buckets:
             if item:
                   self._add_item(item.key       ,				item.val						)

 def      lowerCAmelCase_				(					self			:			Optional[Any]						):
       self._resize(len(self._buckets						) * 2						)

 def      lowerCAmelCase_				(					self			:			Dict						):
       self._resize(len(self._buckets						) // 2						)

 def      lowerCAmelCase_				(					self			:			Any       ,				_UpperCAmelCase			:			KEY						):
       _A     =  self._get_bucket_index(_UpperCAmelCase						)
       for _ in range(len(self._buckets						)						):
             yield ind
             _A     =  self._get_next_ind(_UpperCAmelCase						)

 def      lowerCAmelCase_				(					self			:			List[Any]       ,				_UpperCAmelCase			:			KEY       ,				_UpperCAmelCase			:			VAL						):
       for ind in self._iterate_buckets(_UpperCAmelCase						):
             if self._try_set(_UpperCAmelCase       ,				_UpperCAmelCase       ,				_UpperCAmelCase						):
                   break

 def __setitem__(					self			:			Optional[Any]       ,				_UpperCAmelCase			:			KEY       ,				_UpperCAmelCase			:			VAL						):
       if self._is_full():
             self._size_up()

       self._add_item(_UpperCAmelCase       ,				_UpperCAmelCase						)

 def __delitem__(					self			:			int       ,				_UpperCAmelCase			:			KEY						):
       for ind in self._iterate_buckets(_UpperCAmelCase						):
             _A     =  self._buckets[ind]
             if item is None:
                   raise KeyError(_UpperCAmelCase						)
             if item is _deleted:
                   continue
             if item.key == key:
                   _A     =  _deleted
                   self._len -= 1
                   break
       if self._is_sparse():
             self._size_down()

 def __getitem__(					self			:			str       ,				_UpperCAmelCase			:			KEY						):
       for ind in self._iterate_buckets(_UpperCAmelCase						):
             _A     =  self._buckets[ind]
             if item is None:
                   break
             if item is _deleted:
                   continue
             if item.key == key:
                   return item.val
       raise KeyError(_UpperCAmelCase						)

 def __len__(					self			:			List[str]						):
       return self._len

 def __iter__(					self			:			Tuple						):
       yield from (item.key for item in self._buckets if item)



 def __repr__(					self			:			Dict						):
       _A     =  ' ,'.join(
           F'''{item.key}: {item.val}''' for item in self._buckets if item						)
       return F'''HashMap({val_string})'''







"""simple docstring"""

from datetime import datetime

import matplotlib.pyplot as plt
import torch






def 		_snake_case	(   _snake_case				:   Dict				)       ->   Optional[Any]:






      '''simple docstring'''


      for param in module.parameters():
            _A     =  False






def 		_snake_case	(   )       ->   Tuple:






      '''simple docstring'''


      _A     =  'cuda' if torch.cuda.is_available() else 'cpu'
      if torch.backends.mps.is_available() and torch.backends.mps.is_built():
            _A     =  'mps'
      if device == "mps":
            print(
                'WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'
                ' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'
                ' with generations.'				)
      return device






def 		_snake_case	(   _snake_case				:   Dict				)       ->   Optional[Any]:






      '''simple docstring'''


      _A     =  plt.imshow(_snake_case				)
      fig.axes.get_xaxis().set_visible(_snake_case				)
      fig.axes.get_yaxis().set_visible(_snake_case				)
      plt.show()







def 		_snake_case	(   )       ->   Optional[Any]:






      '''simple docstring'''


      _A     =  datetime.now()
      _A     =  current_time.strftime('%H:%M:%S'				)
      return timestamp

