

import timeit

import numpy as np

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features.features import _ArrayXD






def 					lowerCamelCase_     (   UpperCAmelCase_							:     Optional[int]	)						->				Tuple:




	'''simple docstring'''




	def wrapper(*UpperCAmelCase_							:     Any							,       **UpperCAmelCase_							:     Optional[int]	):
		_UpperCamelCase   :		Optional[int]			=						timeit.default_timer()
		_UpperCamelCase   :		Union[str, Any]			=						func(*__UpperCAmelCase							,       **__UpperCAmelCase	)
		_UpperCamelCase   :		Optional[int]			=						timeit.default_timer() - starttime
		return delta

	_UpperCamelCase   :		Any			=						func.__name__

	return wrapper






def 					lowerCamelCase_     (   UpperCAmelCase_							:     Optional[int]							,       UpperCAmelCase_							:     Tuple=1_0_0							,       UpperCAmelCase_							:     Union[str, Any]=None	)						->				Optional[Any]:




	'''simple docstring'''




	_UpperCamelCase   :		Dict			=						[]
	_UpperCamelCase   :		Dict			=						seq_shapes or {}
	for i in range(__UpperCAmelCase	):
		_UpperCamelCase   :		Dict			=						{}
		for col_id, (k, v) in enumerate(features.items()	):
			if isinstance(__UpperCAmelCase							,       _ArrayXD	):
				_UpperCamelCase   :		int			=						np.random.rand(*v.shape	).astype(v.dtype	)
			elif isinstance(__UpperCAmelCase							,       datasets.Value	):
				if v.dtype == "string":
					_UpperCamelCase   :		List[str]			=						'The small grey turtle was surprisingly fast when challenged.'
				else:
					_UpperCamelCase   :		Any			=						np.random.randint(1_0							,       size=1	).astype(v.dtype	).item()
			elif isinstance(__UpperCAmelCase							,       datasets.Sequence	):
				while isinstance(__UpperCAmelCase							,       datasets.Sequence	):
					_UpperCamelCase   :		Dict			=						v.feature
				_UpperCamelCase   :		Union[str, Any]			=						seq_shapes[k]
				_UpperCamelCase   :		Tuple			=						np.random.rand(*__UpperCAmelCase	).astype(v.dtype	)
			_UpperCamelCase   :		Any			=						data

		dummy_data.append((i, example)	)

	return dummy_data







def 					lowerCamelCase_     (   UpperCAmelCase_							:     Optional[int]							,       UpperCAmelCase_							:     List[str]							,       UpperCAmelCase_							:     Union[str, Any]=1_0_0							,       UpperCAmelCase_							:     int=None	)						->				str:




	'''simple docstring'''




	_UpperCamelCase   :		Optional[int]			=						generate_examples(__UpperCAmelCase							,       num_examples=__UpperCAmelCase							,       seq_shapes=__UpperCAmelCase	)

	with ArrowWriter(features=__UpperCAmelCase							,       path=__UpperCAmelCase	) as writer:
		for key, record in dummy_data:
			_UpperCamelCase   :		Dict			=						features.encode_example(__UpperCAmelCase	)
			writer.write(__UpperCAmelCase	)

		_UpperCamelCase	,		_UpperCamelCase   :		str			=						writer.finalize()

	if not num_final_examples == num_examples:
		raise ValueError(
		    F'''Error writing the dataset, wrote {num_final_examples} examples but should have written {num_examples}.'''	)

	_UpperCamelCase   :		Tuple			=						datasets.Dataset.from_file(filename=__UpperCAmelCase							,       info=datasets.DatasetInfo(features=__UpperCAmelCase	)	)

	return dataset







import functools






def 					lowerCamelCase_     (							UpperCAmelCase_							:     list[int]							,       UpperCAmelCase_							:     list[int]	)						->				int:




	'''simple docstring'''




	if not isinstance(UpperCAmelCase_							,       UpperCAmelCase_	) or not all(isinstance(UpperCAmelCase_							,       UpperCAmelCase_	) for day in days	):
		raise ValueError('The parameter days should be a list of integers'	)

	if len(UpperCAmelCase_	) != 3 or not all(isinstance(UpperCAmelCase_							,       UpperCAmelCase_	) for cost in costs	):
		raise ValueError('The parameter costs should be a list of three integers'	)

	if len(UpperCAmelCase_	) == 0:
		return 0

	if min(UpperCAmelCase_	) <= 0:
		raise ValueError('All days elements should be greater than 0'	)

	if max(UpperCAmelCase_	) >= 3_6_6:
		raise ValueError('All days elements should be less than 366'	)

	_UpperCamelCase   :		Union[str, Any]			=						set(UpperCAmelCase_	)

	@functools.cache
	def dynamic_programming(UpperCAmelCase_							:     int	) -> int:
		if index > 3_6_5:
			return 0

		if index not in days_set:
			return dynamic_programming(index + 1	)

		return min(
		    costs[0] + dynamic_programming(index + 1	)							,       costs[1] + dynamic_programming(index + 7	)							,       costs[2] + dynamic_programming(index + 3_0	)							,       )

	return dynamic_programming(1	)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




