






'''simple docstring'''







import json
import os
import tempfile

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features import ArrayaD
from utils import generate_examples, get_duration


_A      :     Dict       	=(30, 487)
_A      :     Union[str, Any]       	=(36, 1_024)
_A      :     Optional[int]       	=(100, 100)
_A      :     Dict       	=100

_A      :     str       	=datasets.Features(
    {'''text''': ArrayaD(SHAPE_TEST_1, dtype='''float32'''), '''image''': ArrayaD(SHAPE_TEST_2, dtype='''float32''')}
)

_A	, _A      :     str       	=os.path.split(__file__)
_A      :     List[Any]       	=os.path.join(RESULTS_BASEPATH, '''results''', RESULTS_FILENAME.replace('''.py''', '''.json'''))





@get_duration
def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase							,     UpperCamelCase							,     UpperCamelCase ) ->			Tuple:
							with ArrowWriter(features=UpperCamelCase							,     path=os.path.join(UpperCamelCase							,     """beta.arrow""" ) ) as writer:
														for key, record in dummy_data:
																					lowerCamelCase__   :      List[str]			    =			my_features.encode_example(UpperCamelCase )
																					writer.write(UpperCamelCase )
														lowerCamelCase__    ,						lowerCamelCase__   :      Dict			    =			writer.finalize()





@get_duration
def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase							,     UpperCamelCase ) ->			Tuple:
							lowerCamelCase__   :      Optional[int]			    =			datasets.Dataset.from_file(
							    filename=os.path.join(UpperCamelCase							,     """beta.arrow""" )							,     info=datasets.DatasetInfo(features=UpperCamelCase ) )
							for _ in dataset:
														pass





@get_duration
def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase							,     UpperCamelCase ) ->			Union[str, Any]:
							lowerCamelCase__   :      Any			    =			datasets.Dataset.from_file(
							    filename=os.path.join(UpperCamelCase							,     """beta.arrow""" )							,     info=datasets.DatasetInfo(features=UpperCamelCase ) )
							dataset.set_format("""numpy""" )
							for _ in dataset:
														pass





@get_duration
def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase							,     UpperCamelCase ) ->			Union[str, Any]:
							lowerCamelCase__   :      int			    =			10
							lowerCamelCase__   :      Optional[int]			    =			datasets.Dataset.from_file(
							    filename=os.path.join(UpperCamelCase							,     """beta.arrow""" )							,     info=datasets.DatasetInfo(features=UpperCamelCase ) )
							for i in range(0							,     len(UpperCamelCase )							,     UpperCamelCase ):
														lowerCamelCase__   :      Any			    =			dataset[i : i + batch_size]





@get_duration
def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase							,     UpperCamelCase ) ->			List[Any]:
							lowerCamelCase__   :      str			    =			10
							lowerCamelCase__   :      Union[str, Any]			    =			datasets.Dataset.from_file(
							    filename=os.path.join(UpperCamelCase							,     """beta.arrow""" )							,     info=datasets.DatasetInfo(features=UpperCamelCase ) )
							dataset.set_format("""numpy""" )
							for i in range(0							,     len(UpperCamelCase )							,     UpperCamelCase ):
														lowerCamelCase__   :      int			    =			dataset[i : i + batch_size]





@get_duration
def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase							,     UpperCamelCase ) ->			Union[str, Any]:
							lowerCamelCase__   :      Any			    =			datasets.Dataset.from_file(
							    filename=os.path.join(UpperCamelCase							,     """beta.arrow""" )							,     info=datasets.DatasetInfo(features=UpperCamelCase ) )
							for col in feats:
														lowerCamelCase__   :      Tuple			    =			dataset[col]





@get_duration
def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase							,     UpperCamelCase ) ->			int:
							lowerCamelCase__   :      int			    =			datasets.Dataset.from_file(
							    filename=os.path.join(UpperCamelCase							,     """beta.arrow""" )							,     info=datasets.DatasetInfo(features=UpperCamelCase ) )
							dataset.set_format("""numpy""" )
							for col in feats:
														lowerCamelCase__   :      List[Any]			    =			dataset[col]





def 					SCREAMING_SNAKE_CASE_			() ->			Any:
							lowerCamelCase__   :      str			    =			{}
							lowerCamelCase__   :      Optional[Any]			    =			(
							    read_unformated,
							    read_formatted_as_numpy,
							    read_batch_unformated,
							    read_batch_formatted_as_numpy,
							    read_col_unformated,
							    read_col_formatted_as_numpy,
							)
							with tempfile.TemporaryDirectory() as tmp_dir:
														lowerCamelCase__   :      int			    =			datasets.Features({"""image""": ArrayaD(UpperCamelCase							,     dtype="""float32""" )} )
														lowerCamelCase__   :      Any			    =			generate_examples(features=UpperCamelCase							,     num_examples=UpperCamelCase )
														lowerCamelCase__   :      List[Any]			    =			write(UpperCamelCase							,     UpperCamelCase							,     UpperCamelCase )
														for read_func in read_functions:
																					lowerCamelCase__   :      str			    =			read_func(UpperCamelCase							,     UpperCamelCase )

							with tempfile.TemporaryDirectory() as tmp_dir:
														# don't use fixed length for fair comparison
														# feats = datasets.Features(
														#     {"image": datasets.Sequence(datasets.Sequence(datasets.Value("float32"), SPEED_TEST_SHAPE[1]), SPEED_TEST_SHAPE[0])}
														# )
														lowerCamelCase__   :      Tuple			    =			datasets.Features({"""image""": datasets.Sequence(datasets.Sequence(datasets.Value("""float32""" ) ) )} )
														lowerCamelCase__   :      Optional[int]			    =			generate_examples(
														    features=UpperCamelCase							,     num_examples=UpperCamelCase							,     seq_shapes={"""image""": SPEED_TEST_SHAPE} )
														lowerCamelCase__   :      Optional[int]			    =			write(UpperCamelCase							,     UpperCamelCase							,     UpperCamelCase )
														for read_func in read_functions:
																					lowerCamelCase__   :      Optional[int]			    =			read_func(UpperCamelCase							,     UpperCamelCase )

							with tempfile.TemporaryDirectory() as tmp_dir:
														# don't use fixed length for fair comparison
														# feats = datasets.Features(
														#     {"image": datasets.Sequence(datasets.Value("float32"), SPEED_TEST_SHAPE[0] * SPEED_TEST_SHAPE[1])}
														# )
														lowerCamelCase__   :      Dict			    =			datasets.Features({"""image""": datasets.Sequence(datasets.Value("""float32""" ) )} )
														lowerCamelCase__   :      Union[str, Any]			    =			generate_examples(
														    features=UpperCamelCase							,     num_examples=UpperCamelCase							,     seq_shapes={"""image""": [SPEED_TEST_SHAPE[0] * SPEED_TEST_SHAPE[1]]}							,     )
														lowerCamelCase__   :      str			    =			write(UpperCamelCase							,     UpperCamelCase							,     UpperCamelCase )
														for read_func in read_functions:
																					lowerCamelCase__   :      str			    =			read_func(UpperCamelCase							,     UpperCamelCase )

							with open(UpperCamelCase							,     """wb""" ) as f:
														f.write(json.dumps(UpperCamelCase ).encode("""utf-8""" ) )


if __name__ == "__main__":  # useful to run the profiler
			benchmark_array_xd()









'''simple docstring'''







from __future__ import annotations





def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase							,     UpperCamelCase ) ->			Dict:
							lowerCamelCase__   :      List[str]			    =			0
							lowerCamelCase__   :      Tuple			    =			len(UpperCamelCase ) - 1
							while left <= right:
														lowerCamelCase__   :      List[str]			    =			(left + right) // 2
														if left == right:
																					if sorted_list[middle] < item:
																												lowerCamelCase__   :      Any			    =			middle + 1
																					break
														elif sorted_list[middle] < item:
																					lowerCamelCase__   :      Optional[Any]			    =			middle + 1
														else:
																					lowerCamelCase__   :      Dict			    =			middle - 1
							sorted_list.insert(UpperCamelCase							,     UpperCamelCase )
							return sorted_list





def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase							,     UpperCamelCase ) ->			Tuple:
							lowerCamelCase__   :      Any			    =			[]
							while left and right:
														if left[0][0] < right[0][0]:
																					result.append(left.pop(0 ) )
														else:
																					result.append(right.pop(0 ) )
							return result + left + right





def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase ) ->			Any:
							lowerCamelCase__   :      Optional[Any]			    =			len(UpperCamelCase )
							if length <= 1:
														return list_ad
							lowerCamelCase__   :      Tuple			    =			length // 2
							return merge(sortlist_ad(list_ad[:middle] )							,     sortlist_ad(list_ad[middle:] ) )





def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase ) ->			list[int]:

							if len(UpperCamelCase ) <= 1:
														return collection
							lowerCamelCase__   :      int			    =			[]
							lowerCamelCase__   :      int			    =			False
							for i in range(0							,     len(UpperCamelCase )							,     2 ):
														if i == len(UpperCamelCase ) - 1:
																					lowerCamelCase__   :      List[Any]			    =			True
														else:
																					if collection[i] < collection[i + 1]:
																												two_paired_list.append([collection[i], collection[i + 1]] )
																					else:
																												two_paired_list.append([collection[i + 1], collection[i]] )
							lowerCamelCase__   :      List[Any]			    =			sortlist_ad(UpperCamelCase )
							lowerCamelCase__   :      List[Any]			    =			[i[0] for i in sorted_list_ad]
							result.append(sorted_list_ad[-1][1] )
							if has_last_odd_item:
														lowerCamelCase__   :      int			    =			collection[-1]
														lowerCamelCase__   :      str			    =			binary_search_insertion(UpperCamelCase							,     UpperCamelCase )
							lowerCamelCase__   :      Any			    =			False
							for i in range(len(UpperCamelCase ) - 1 ):
														if result[i] == collection[-1] and has_last_odd_item:
																					lowerCamelCase__   :      Any			    =			True
														lowerCamelCase__   :      Dict			    =			sorted_list_ad[i][1]
														# If last_odd_item is inserted before the item's index,
														# you should forward index one more.
														if is_last_odd_item_inserted_before_this_index:
																					lowerCamelCase__   :      List[str]			    =			result[: i + 2] + binary_search_insertion(result[i + 2 :]							,     UpperCamelCase )
														else:
																					lowerCamelCase__   :      Dict			    =			result[: i + 1] + binary_search_insertion(result[i + 1 :]							,     UpperCamelCase )

							return result


if __name__ == "__main__":
			_A      :     Tuple       	=input('''Enter numbers separated by a comma:\n''').strip()
			_A      :     List[Any]       	=[int(item) for item in user_input.split(''',''')]
			print(merge_insertion_sort(unsorted))

