
'''simple docstring'''



import os
import tempfile
from pathlib import Path
from unittest import TestCase

import pyarrow as pa
import pytest

from datasets.arrow_dataset import Dataset
from datasets.arrow_reader import ArrowReader, BaseReader, FileInstructions, ReadInstruction, make_file_instructions
from datasets.info import DatasetInfo
from datasets.splits import NamedSplit, Split, SplitDict, SplitInfo

from .utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases





class      A							(    __UpperCAmelCase			):



			def A__	(   self    ,       lowerCamelCase__    ,       lowerCamelCase__=False    )     ->						Any:




									'''simple docstring'''



									lowercase__	,  lowercase__	,  lowercase__								=    (
									    filename_skip_take["""filename"""],
									    filename_skip_take["""skip"""] if """skip""" in filename_skip_take else None,
									    filename_skip_take["""take"""] if """take""" in filename_skip_take else None,
									)
									open(os.path.join(lowerCamelCase__    )    ,       """wb"""    ).close()
									lowercase__								=    pa.Table.from_pydict({"""filename""": [Path(lowerCamelCase__    ).name] * 100}    )
									if take == -1:
															lowercase__								=    len(lowerCamelCase__    ) - skip
									if skip is not None and take is not None:
															lowercase__								=    pa_table.slice(lowerCamelCase__    ,       lowerCamelCase__    )
									return pa_table





class      A							(    __UpperCAmelCase			):



			def A__	(   self    )     ->						List[str]:




									'''simple docstring'''



									lowercase__								=    """my_name"""
									lowercase__								=    SplitInfo(name="""train"""    ,       num_examples=100    )
									lowercase__								=    SplitInfo(name="""test"""    ,       num_examples=100    )
									lowercase__								=    [train_info, test_info]
									lowercase__								=    SplitDict()
									split_dict.add(lowerCamelCase__    )
									split_dict.add(lowerCamelCase__    )
									lowercase__								=    DatasetInfo(splits=lowerCamelCase__    )

									with tempfile.TemporaryDirectory() as tmp_dir:
															lowercase__								=    ReaderTest(lowerCamelCase__    ,       lowerCamelCase__    )

															lowercase__								=    """test[:33%]"""
															lowercase__								=    Dataset(**reader.read(lowerCamelCase__    ,       lowerCamelCase__    ,       lowerCamelCase__    )    )
															self.assertEqual(dset["""filename"""][0]    ,       F'''{name}-test'''    )
															self.assertEqual(dset.num_rows    ,       33    )
															self.assertEqual(dset.num_columns    ,       1    )

															lowercase__								=    ["""train""", """test[:33%]"""]
															lowercase__								=    [Split.TRAIN, ReadInstruction.from_spec("""test[:33%]"""    )]
															for instructions in [instructionsa, instructionsa]:
																					lowercase__								=    [reader.read(lowerCamelCase__    ,       lowerCamelCase__    ,       lowerCamelCase__    ) for instr in instructions]
																					lowercase__	,  lowercase__								=    (Dataset(**lowerCamelCase__    ) for dataset_kwargs in datasets_kwargs)
																					self.assertEqual(train_dset["""filename"""][0]    ,       F'''{name}-train'''    )
																					self.assertEqual(train_dset.num_rows    ,       100    )
																					self.assertEqual(train_dset.num_columns    ,       1    )
																					self.assertIsInstance(train_dset.split    ,       lowerCamelCase__    )
																					self.assertEqual(str(train_dset.split    )    ,       """train"""    )
																					self.assertEqual(test_dset["""filename"""][0]    ,       F'''{name}-test'''    )
																					self.assertEqual(test_dset.num_rows    ,       33    )
																					self.assertEqual(test_dset.num_columns    ,       1    )
																					self.assertIsInstance(test_dset.split    ,       lowerCamelCase__    )
																					self.assertEqual(str(test_dset.split    )    ,       """test[:33%]"""    )
																					del train_dset, test_dset



			def A__	(   self    )     ->						Any:




									'''simple docstring'''



									lowercase__								=    """my_name"""
									lowercase__								=    SplitInfo(name="""train"""    ,       num_examples=1_000    ,       shard_lengths=[100] * 10    )
									lowercase__								=    [train_info]
									lowercase__								=    SplitDict()
									split_dict.add(lowerCamelCase__    )
									lowercase__								=    DatasetInfo(splits=lowerCamelCase__    )

									with tempfile.TemporaryDirectory() as tmp_dir:
															lowercase__								=    ReaderTest(lowerCamelCase__    ,       lowerCamelCase__    )

															lowercase__								=    """train[:33%]"""
															lowercase__								=    Dataset(**reader.read(lowerCamelCase__    ,       lowerCamelCase__    ,       lowerCamelCase__    )    )
															self.assertEqual(dset["""filename"""][0]    ,       F'''{name}-train-00000-of-00010'''    )
															self.assertEqual(dset["""filename"""][-1]    ,       F'''{name}-train-00003-of-00010'''    )
															self.assertEqual(dset.num_rows    ,       330    )
															self.assertEqual(dset.num_columns    ,       1    )



			def A__	(   self    )     ->						Optional[Any]:




									'''simple docstring'''



									lowercase__								=    SplitInfo(name="""train"""    ,       num_examples=100    )
									lowercase__								=    SplitInfo(name="""test"""    ,       num_examples=100    )
									lowercase__								=    SplitDict()
									split_dict.add(lowerCamelCase__    )
									split_dict.add(lowerCamelCase__    )
									lowercase__								=    DatasetInfo(splits=lowerCamelCase__    )

									with tempfile.TemporaryDirectory() as tmp_dir:
															lowercase__								=    ReaderTest(lowerCamelCase__    ,       lowerCamelCase__    )

															lowercase__								=    [
															    {"""filename""": os.path.join(lowerCamelCase__    ,       """train"""    )},
															    {"""filename""": os.path.join(lowerCamelCase__    ,       """test"""    ), """skip""": 10, """take""": 10},
															]
															lowercase__								=    Dataset(**reader.read_files(lowerCamelCase__    ,       original_instructions="""train+test[10:20]"""    )    )
															self.assertEqual(dset.num_rows    ,       110    )
															self.assertEqual(dset.num_columns    ,       1    )
															del dset





@pytest.mark.parametrize("""in_memory"""						,						[False, True]		)
def 	_A						(							lowercase__						,						lowercase__						,						lowercase__		):
						lowercase__								=    arrow_file
						with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
												lowercase__								=    ArrowReader.read_table(lowercase__						,						in_memory=lowercase__		)
						assert table.shape == dataset.data.shape
						assert set(table.column_names		) == set(dataset.data.column_names		)
						assert dict(table.to_pydict()		) == dict(dataset.data.to_pydict()		)  # to_pydict returns OrderedDict





@pytest.mark.parametrize("""in_memory"""						,						[False, True]		)
def 	_A						(							lowercase__						,						lowercase__						,						lowercase__		):
						lowercase__								=    arrow_file
						lowercase__								=    ArrowReader(""""""						,						lowercase__		)
						with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
												lowercase__								=    reader.read_files([{"""filename""": filename}]						,						in_memory=lowercase__		)
						assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
						lowercase__								=    dataset_kwargs["""arrow_table"""]
						assert table.shape == dataset.data.shape
						assert set(table.column_names		) == set(dataset.data.column_names		)
						assert dict(table.to_pydict()		) == dict(dataset.data.to_pydict()		)  # to_pydict returns OrderedDict





def 	_A						(							):
						assert ReadInstruction("""train"""						,						to=10						,						unit="""abs"""		).to_spec() == "train[:10]"
						assert ReadInstruction("""train"""						,						from_=-80						,						to=10						,						unit="""%"""		).to_spec() == "train[-80%:10%]"

						lowercase__								=    """train+test"""
						assert ReadInstruction.from_spec(lowercase__		).to_spec() == spec_train_test

						lowercase__								=    """train[2:10]"""
						assert ReadInstruction.from_spec(lowercase__		).to_spec() == spec_train_abs

						lowercase__								=    """train[15%:-20%]"""
						assert ReadInstruction.from_spec(lowercase__		).to_spec() == spec_train_pct

						lowercase__								=    """train[:10%](closest)"""
						assert ReadInstruction.from_spec(lowercase__		).to_spec() == "train[:10%]"

						lowercase__								=    """train[:10%](pct1_dropremainder)"""
						assert ReadInstruction.from_spec(lowercase__		).to_spec() == spec_train_pct_rounding

						lowercase__								=    """train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)"""
						assert ReadInstruction.from_spec(lowercase__		).to_spec() == spec_train_test_pct_rounding





def 	_A						(							):
						lowercase__								=    """dummy"""
						lowercase__								=    [SplitInfo(name="""train"""						,						num_examples=100		)]
						lowercase__								=    """train[:33%]"""
						lowercase__								=    """arrow"""
						lowercase__								=    """prefix"""

						lowercase__								=    make_file_instructions(lowercase__						,						lowercase__						,						lowercase__						,						lowercase__						,						lowercase__		)
						assert isinstance(lowercase__						,						lowercase__		)
						assert file_instructions.num_examples == 33
						assert file_instructions.file_instructions == [
						    {"filename": os.path.join(lowercase__						,						f'''{name}-train.arrow'''		), "skip": 0, "take": 33}
						]

						lowercase__								=    [SplitInfo(name="""train"""						,						num_examples=100						,						shard_lengths=[10] * 10		)]
						lowercase__								=    make_file_instructions(lowercase__						,						lowercase__						,						lowercase__						,						lowercase__						,						lowercase__		)
						assert isinstance(lowercase__						,						lowercase__		)
						assert file_instructions.num_examples == 33
						assert file_instructions.file_instructions == [
						    {"filename": os.path.join(lowercase__						,						f'''{name}-train-00000-of-00010.arrow'''		), "skip": 0, "take": -1},
						    {"filename": os.path.join(lowercase__						,						f'''{name}-train-00001-of-00010.arrow'''		), "skip": 0, "take": -1},
						    {"filename": os.path.join(lowercase__						,						f'''{name}-train-00002-of-00010.arrow'''		), "skip": 0, "take": -1},
						    {"filename": os.path.join(lowercase__						,						f'''{name}-train-00003-of-00010.arrow'''		), "skip": 0, "take": 3},
						]







@pytest.mark.parametrize("""name, expected_exception"""						,						[(None, TypeError), ("""""", ValueError)]		)
def 	_A						(							lowercase__						,						lowercase__		):
						lowercase__								=    [SplitInfo(name="""train"""						,						num_examples=100		)]
						lowercase__								=    """train"""
						lowercase__								=    """arrow"""
						lowercase__								=    """prefix_path"""
						with pytest.raises(lowercase__		):
												lowercase__								=    make_file_instructions(lowercase__						,						lowercase__						,						lowercase__						,						lowercase__						,						lowercase__		)








'''simple docstring'''



def 	_A						(							lowercase__		):
						lowercase__								=    1.3
						lowercase__								=    len(lowercase__		)
						lowercase__								=    False

						while not completed:
												# Update the gap value for a next comb
												lowercase__								=    int(gap / shrink_factor		)
												if gap <= 1:
																		lowercase__								=    True

												lowercase__								=    0
												while index + gap < len(lowercase__		):
																		if data[index] > data[index + gap]:
																								# Swap values
																								lowercase__	,  lowercase__								=    data[index + gap], data[index]
																								lowercase__								=    False
																		index += 1

						return data


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				__A       =      input("Enter numbers separated by a comma:\n").strip()
				__A       =      [int(item) for item in user_input.split(",")]
				print(comb_sort(unsorted))






