import timeit

import numpy as np

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





def 	__lowerCamelCase							(UpperCAmelCase__     :							int  ):
					def wrapper(*UpperCAmelCase__     :							int      , **UpperCAmelCase__     :							Optional[int]  ):
										SCREAMING_SNAKE_CASE    			=       timeit.default_timer()
										SCREAMING_SNAKE_CASE    			=       func(*UpperCAmelCase__      , **UpperCAmelCase__  )
										SCREAMING_SNAKE_CASE    			=       timeit.default_timer() - starttime
										return delta

					SCREAMING_SNAKE_CASE    			=       func.__name__

					return wrapper





def 	__lowerCamelCase							(UpperCAmelCase__     :							dict      , UpperCAmelCase__     :							List[Any]=1_0_0      , UpperCAmelCase__     :							Optional[Any]=None  ):
					SCREAMING_SNAKE_CASE    			=       []
					SCREAMING_SNAKE_CASE    			=       seq_shapes or {}
					for i in range(UpperCAmelCase__  ):
										SCREAMING_SNAKE_CASE    			=       {}
										for col_id, (k, v) in enumerate(features.items()  ):
															if isinstance(UpperCAmelCase__      , _ArrayXD  ):
																				SCREAMING_SNAKE_CASE    			=       np.random.rand(*v.shape  ).astype(v.dtype  )
															elif isinstance(UpperCAmelCase__      , datasets.Value  ):
																				if v.dtype == "string":
																									SCREAMING_SNAKE_CASE    			=       "The small grey turtle was surprisingly fast when challenged."
																				else:
																									SCREAMING_SNAKE_CASE    			=       np.random.randint(1_0      , size=1  ).astype(v.dtype  ).item()
															elif isinstance(UpperCAmelCase__      , datasets.Sequence  ):
																				while isinstance(UpperCAmelCase__      , datasets.Sequence  ):
																									SCREAMING_SNAKE_CASE    			=       v.feature
																				SCREAMING_SNAKE_CASE    			=       seq_shapes[k]
																				SCREAMING_SNAKE_CASE    			=       np.random.rand(*UpperCAmelCase__  ).astype(v.dtype  )
															SCREAMING_SNAKE_CASE    			=       data

										dummy_data.append((i, example)  )

					return dummy_data





def 	__lowerCamelCase							(UpperCAmelCase__     :							str      , UpperCAmelCase__     :							Any      , UpperCAmelCase__     :							Optional[Any]=1_0_0      , UpperCAmelCase__     :							str=None  ):
					SCREAMING_SNAKE_CASE    			=       generate_examples(UpperCAmelCase__      , num_examples=UpperCAmelCase__      , seq_shapes=UpperCAmelCase__  )

					with ArrowWriter(features=UpperCAmelCase__      , path=UpperCAmelCase__  ) as writer:
										for key, record in dummy_data:
															SCREAMING_SNAKE_CASE    			=       features.encode_example(UpperCAmelCase__  )
															writer.write(UpperCAmelCase__  )

										SCREAMING_SNAKE_CASE			,   SCREAMING_SNAKE_CASE    			=       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}."  )

					SCREAMING_SNAKE_CASE    			=       datasets.Dataset.from_file(filename=UpperCAmelCase__      , info=datasets.DatasetInfo(features=UpperCAmelCase__  )  )

					return dataset





import functools





def 	__lowerCamelCase							(UpperCAmelCase__     :							list[int]      , UpperCAmelCase__     :							list[int]  ):

					# Validation
					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"  )

					SCREAMING_SNAKE_CASE    			=       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()




