



'''simple docstring'''

from unittest import TestCase

from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset

class __snake_case(				_lowerCAmelCase ):


						'''simple docstring'''



						def     __snake_case   ( self				)     ->     Tuple:
							return [
							    {"col_1": 3, "col_2": "a"},
							    {"col_1": 2, "col_2": "b"},
							    {"col_1": 1, "col_2": "c"},
							    {"col_1": 0, "col_2": "d"},
							]


						def     __snake_case   ( self				)     ->     str:
							lowerCAmelCase   =     {"""col_1""": [3, 2, 1, 0], """col_2""": ["""a""", """b""", """c""", """d"""]}
							return Dataset.from_dict(A_				)


						def     __snake_case   ( self				)     ->     Optional[int]:
							lowerCAmelCase   =     self._create_example_records()
							lowerCAmelCase   =     Dataset.from_list(A_				)
							self.assertListEqual(dset.column_names     ,	["""col_1""", """col_2"""]				)
							for i, r in enumerate(A_				):
								self.assertDictEqual(A_     ,	example_records[i]				)


						def     __snake_case   ( self				)     ->     int:
							lowerCAmelCase   =     self._create_example_records()
							lowerCAmelCase   =     Dataset.from_list(A_				)
							lowerCAmelCase   =     Dataset.from_dict({k: [r[k] for r in example_records] for k in example_records[0]}				)
							self.assertEqual(dset.info     ,	dset_from_dict.info				)


						def     __snake_case   ( self				)     ->     List[Any]:  # checks what happens with missing columns
							lowerCAmelCase   =     [{"""col_1""": 1}, {"""col_2""": """x"""}]
							lowerCAmelCase   =     Dataset.from_list(A_				)
							self.assertDictEqual(dset[0]     ,	{"""col_1""": 1}				)
							self.assertDictEqual(dset[1]     ,	{"""col_1""": None}				)  # NB: first record is used for columns


						def     __snake_case   ( self				)     ->     str:  # checks if the type can be inferred from the second record
							lowerCAmelCase   =     [{"""col_1""": []}, {"""col_1""": [1, 2]}]
							lowerCAmelCase   =     Dataset.from_list(A_				)
							self.assertEqual(dset.info.features["""col_1"""]     ,	Sequence(Value("""int64"""				)				)				)




						def     __snake_case   ( self				)     ->     int:
							lowerCAmelCase   =     Dataset.from_list([]				)
							self.assertEqual(len(A_				)     ,	0				)
							self.assertListEqual(dset.column_names     ,	[]				)




'''simple docstring'''

class __snake_case(				_lowerCAmelCase ):


						'''simple docstring'''



						pass







class __snake_case(				_lowerCAmelCase ):


						'''simple docstring'''



						pass







class __snake_case:


						'''simple docstring'''



						def __init__( self				)     ->     int:
							lowerCAmelCase   =     [
							    [],
							    [],
							    [],
							]


						def     __snake_case   ( self     ,	A_     ,	A_				)     ->     None:
							try:
								if len(self.queues[priority]				) >= 100:
									raise OverflowError("""Maximum queue size is 100"""				)
								self.queues[priority].append(A_				)
							except IndexError:
								raise ValueError("""Valid priorities are 0, 1, and 2"""				)


						def     __snake_case   ( self				)     ->     int:
							for queue in self.queues:
								if queue:
									return queue.pop(0				)
							raise UnderFlowError("""All queues are empty"""				)




						def __str__( self				)     ->     str:
							return "\n".join(f'Priority {i}: {q}' for i, q in enumerate(self.queues				)				)







class __snake_case:


						'''simple docstring'''



						def __init__( self				)     ->     Dict:
							lowerCAmelCase   =     []


						def     __snake_case   ( self     ,	A_				)     ->     None:
							if len(self.queue				) == 100:
								raise OverFlowError("""Maximum queue size is 100"""				)
							self.queue.append(A_				)


						def     __snake_case   ( self				)     ->     int:
							if not self.queue:
								raise UnderFlowError("""The queue is empty"""				)
							else:
								lowerCAmelCase   =     min(self.queue				)
								self.queue.remove(A_				)
								return data




						def __str__( self				)     ->     str:
							return str(self.queue				)







def 		_snake_case		( )      ->						Tuple:







	"""simple docstring"""
	lowerCAmelCase   =     FixedPriorityQueue()
	fpq.enqueue(0							,		10							)
	fpq.enqueue(1							,		70							)
	fpq.enqueue(0							,		100							)
	fpq.enqueue(2							,		1							)
	fpq.enqueue(2							,		5							)
	fpq.enqueue(1							,		7							)
	fpq.enqueue(2							,		4							)
	fpq.enqueue(1							,		64							)
	fpq.enqueue(0							,		128							)
	print(_SCREAMING_SNAKE_CASE							)
	print(fpq.dequeue()							)
	print(fpq.dequeue()							)
	print(fpq.dequeue()							)
	print(fpq.dequeue()							)
	print(fpq.dequeue()							)
	print(_SCREAMING_SNAKE_CASE							)
	print(fpq.dequeue()							)
	print(fpq.dequeue()							)
	print(fpq.dequeue()							)
	print(fpq.dequeue()							)
	print(fpq.dequeue()							)






def 		_snake_case		( )      ->						Optional[Any]:







	"""simple docstring"""
	lowerCAmelCase   =     ElementPriorityQueue()
	epq.enqueue(10							)
	epq.enqueue(70							)
	epq.enqueue(100							)
	epq.enqueue(1							)
	epq.enqueue(5							)
	epq.enqueue(7							)
	epq.enqueue(4							)
	epq.enqueue(64							)
	epq.enqueue(128							)
	print(_SCREAMING_SNAKE_CASE							)
	print(epq.dequeue()							)
	print(epq.dequeue()							)
	print(epq.dequeue()							)
	print(epq.dequeue()							)
	print(epq.dequeue()							)
	print(_SCREAMING_SNAKE_CASE							)
	print(epq.dequeue()							)
	print(epq.dequeue()							)
	print(epq.dequeue()							)
	print(epq.dequeue()							)
	print(epq.dequeue()							)


if __name__ == "__main__":
				fixed_priority_queue()
				element_priority_queue()