


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   __lowercase						(lowerCamelCase_     ):





							"""simple docstring"""







							def 				UpperCamelCase__    (			self ,	lowerCAmelCase__ ,	lowerCAmelCase__=False					):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:    List[Any] 		=				(
										    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()
										SCREAMING_SNAKE_CASE_		:    Any 		=				pa.Table.from_pydict({'filename': [Path(lowerCAmelCase__					).name] * 1_0_0}					)
										if take == -1:
													SCREAMING_SNAKE_CASE_		:    Dict 		=				len(lowerCAmelCase__					) - skip
										if skip is not None and take is not None:
													SCREAMING_SNAKE_CASE_		:    Dict 		=				pa_table.slice(lowerCAmelCase__ ,	lowerCAmelCase__					)
										return pa_table







class   __lowercase						(lowerCamelCase_     ):





							"""simple docstring"""







							def 				UpperCamelCase__    (			self					):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:    int 		=				"my_name"
										SCREAMING_SNAKE_CASE_		:    Union[str, Any] 		=				SplitInfo(name='train' ,	num_examples=1_0_0					)
										SCREAMING_SNAKE_CASE_		:    Tuple 		=				SplitInfo(name='test' ,	num_examples=1_0_0					)
										SCREAMING_SNAKE_CASE_		:    int 		=				[train_info, test_info]
										SCREAMING_SNAKE_CASE_		:    Dict 		=				SplitDict()
										split_dict.add(lowerCAmelCase__					)
										split_dict.add(lowerCAmelCase__					)
										SCREAMING_SNAKE_CASE_		:    Union[str, Any] 		=				DatasetInfo(splits=lowerCAmelCase__					)

										with tempfile.TemporaryDirectory() as tmp_dir:
													SCREAMING_SNAKE_CASE_		:    List[Any] 		=				ReaderTest(lowerCAmelCase__ ,	lowerCAmelCase__					)

													SCREAMING_SNAKE_CASE_		:    List[str] 		=				"test[:33%]"
													SCREAMING_SNAKE_CASE_		:    Tuple 		=				Dataset(**reader.read(lowerCAmelCase__ ,	lowerCAmelCase__ ,	lowerCAmelCase__					)					)
													self.assertEqual(dset['filename'][0] ,	F'''{name}-test'''					)
													self.assertEqual(dset.num_rows ,	3_3					)
													self.assertEqual(dset.num_columns ,	1					)

													SCREAMING_SNAKE_CASE_		:    Any 		=				["train", "test[:33%]"]
													SCREAMING_SNAKE_CASE_		:    int 		=				[Split.TRAIN, ReadInstruction.from_spec('test[:33%]'					)]
													for instructions in [instructionsa, instructionsa]:
																SCREAMING_SNAKE_CASE_		:    Any 		=				[reader.read(lowerCAmelCase__ ,	lowerCAmelCase__ ,	lowerCAmelCase__					) for instr in instructions]
																SCREAMING_SNAKE_CASE_		:    List[str] 		=				(Dataset(**lowerCAmelCase__					) for dataset_kwargs in datasets_kwargs)
																self.assertEqual(train_dset['filename'][0] ,	F'''{name}-train'''					)
																self.assertEqual(train_dset.num_rows ,	1_0_0					)
																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 ,	3_3					)
																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 				UpperCamelCase__    (			self					):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:    Optional[int] 		=				"my_name"
										SCREAMING_SNAKE_CASE_		:    List[str] 		=				SplitInfo(name='train' ,	num_examples=1_0_0_0 ,	shard_lengths=[1_0_0] * 1_0					)
										SCREAMING_SNAKE_CASE_		:    Union[str, Any] 		=				[train_info]
										SCREAMING_SNAKE_CASE_		:    List[str] 		=				SplitDict()
										split_dict.add(lowerCAmelCase__					)
										SCREAMING_SNAKE_CASE_		:    Optional[int] 		=				DatasetInfo(splits=lowerCAmelCase__					)

										with tempfile.TemporaryDirectory() as tmp_dir:
													SCREAMING_SNAKE_CASE_		:    Tuple 		=				ReaderTest(lowerCAmelCase__ ,	lowerCAmelCase__					)

													SCREAMING_SNAKE_CASE_		:    int 		=				"train[:33%]"
													SCREAMING_SNAKE_CASE_		:    int 		=				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 ,	3_3_0					)
													self.assertEqual(dset.num_columns ,	1					)






							def 				UpperCamelCase__    (			self					):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:    Optional[Any] 		=				SplitInfo(name='train' ,	num_examples=1_0_0					)
										SCREAMING_SNAKE_CASE_		:    Dict 		=				SplitInfo(name='test' ,	num_examples=1_0_0					)
										SCREAMING_SNAKE_CASE_		:    str 		=				SplitDict()
										split_dict.add(lowerCAmelCase__					)
										split_dict.add(lowerCAmelCase__					)
										SCREAMING_SNAKE_CASE_		:    Dict 		=				DatasetInfo(splits=lowerCAmelCase__					)

										with tempfile.TemporaryDirectory() as tmp_dir:
													SCREAMING_SNAKE_CASE_		:    str 		=				ReaderTest(lowerCAmelCase__ ,	lowerCAmelCase__					)

													SCREAMING_SNAKE_CASE_		:    int 		=				[
													    {"filename": os.path.join(lowerCAmelCase__ ,	'train'					)},
													    {"filename": os.path.join(lowerCAmelCase__ ,	'test'					), "skip": 1_0, "take": 1_0},
													]
													SCREAMING_SNAKE_CASE_		:    Union[str, Any] 		=				Dataset(**reader.read_files(lowerCAmelCase__ ,	original_instructions='train+test[10:20]'					)					)
													self.assertEqual(dset.num_rows ,	1_1_0					)
													self.assertEqual(dset.num_columns ,	1					)
													del dset







@pytest.mark.parametrize('in_memory',			[False, True]							)
def 	a__ (							A__,			A__,			A__							):
			SCREAMING_SNAKE_CASE_		:    Dict 		=				arrow_file
			with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
						SCREAMING_SNAKE_CASE_		:    Any 		=				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__ (							A__,			A__,			A__							):
			SCREAMING_SNAKE_CASE_		:    str 		=				arrow_file
			SCREAMING_SNAKE_CASE_		:    Any 		=				ArrowReader('',			lowercase__							)
			with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
						SCREAMING_SNAKE_CASE_		:    List[Any] 		=				reader.read_files([{'filename': filename}],			in_memory=lowercase__							)
			assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
			SCREAMING_SNAKE_CASE_		:    List[str] 		=				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=1_0,			unit='abs'							).to_spec() == "train[:10]"
			assert ReadInstruction('train',			from_=-8_0,			to=1_0,			unit='%'							).to_spec() == "train[-80%:10%]"

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

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

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

			SCREAMING_SNAKE_CASE_		:    Union[str, Any] 		=				"train[:10%](closest)"
			assert ReadInstruction.from_spec(lowercase__							).to_spec() == "train[:10%]"

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

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






def 	a__ (							):
			SCREAMING_SNAKE_CASE_		:    List[str] 		=				"dummy"
			SCREAMING_SNAKE_CASE_		:    Optional[Any] 		=				[SplitInfo(name='train',			num_examples=1_0_0							)]
			SCREAMING_SNAKE_CASE_		:    List[str] 		=				"train[:33%]"
			SCREAMING_SNAKE_CASE_		:    Optional[int] 		=				"arrow"
			SCREAMING_SNAKE_CASE_		:    Union[str, Any] 		=				"prefix"

			SCREAMING_SNAKE_CASE_		:    Tuple 		=				make_file_instructions(lowercase__,			lowercase__,			lowercase__,			lowercase__,			lowercase__							)
			assert isinstance(lowercase__,			lowercase__							)
			assert file_instructions.num_examples == 3_3
			assert file_instructions.file_instructions == [
			    {"filename": os.path.join(lowercase__,			F'''{name}-train.arrow'''							), "skip": 0, "take": 3_3}
			]

			SCREAMING_SNAKE_CASE_		:    Tuple 		=				[SplitInfo(name='train',			num_examples=1_0_0,			shard_lengths=[1_0] * 1_0							)]
			SCREAMING_SNAKE_CASE_		:    List[str] 		=				make_file_instructions(lowercase__,			lowercase__,			lowercase__,			lowercase__,			lowercase__							)
			assert isinstance(lowercase__,			lowercase__							)
			assert file_instructions.num_examples == 3_3
			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__ (							A__,			A__							):
			SCREAMING_SNAKE_CASE_		:    Dict 		=				[SplitInfo(name='train',			num_examples=1_0_0							)]
			SCREAMING_SNAKE_CASE_		:    Any 		=				"train"
			SCREAMING_SNAKE_CASE_		:    List[str] 		=				"arrow"
			SCREAMING_SNAKE_CASE_		:    Any 		=				"prefix_path"
			with pytest.raises(lowercase__							):
						SCREAMING_SNAKE_CASE_		:    Optional[int] 		=				make_file_instructions(lowercase__,			lowercase__,			lowercase__,			lowercase__,			lowercase__							)







from collections import Counter






def 	a__ (							A__							):
			return sum(socks_by_color // 2 for socks_by_color in Counter(A__							).values()							)


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				lowerCAmelCase__ :			Optional[int]         =[int(x) for x in input('Enter socks by color :').rstrip().split()]
				print(F"""sock_merchant({colors}) = {sock_merchant(colors)}""")





