




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    __lowerCAmelCase			(	UpperCAmelCase__			):







			def UpperCamelCase      (	self   :      List[Any]   ,   snake_case__   :      str   ,   snake_case__   :      Union[str, Any]=False				):




									"""simple docstring"""


									_UpperCAmelCase							,			_UpperCAmelCase							,			_UpperCAmelCase													=					(
									    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(snake_case__				)   ,   "wb"				).close()
									_UpperCAmelCase													=					pa.Table.from_pydict({"filename": [Path(snake_case__				).name] * 100}				)
									if take == -1:
															_UpperCAmelCase													=					len(snake_case__				) - skip
									if skip is not None and take is not None:
															_UpperCAmelCase													=					pa_table.slice(snake_case__   ,   snake_case__				)
									return pa_table






class    __lowerCAmelCase			(	UpperCAmelCase__			):







			def UpperCamelCase      (	self   :      Union[str, Any]				):




									"""simple docstring"""


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

									with tempfile.TemporaryDirectory() as tmp_dir:
															_UpperCAmelCase													=					ReaderTest(snake_case__   ,   snake_case__				)

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

															_UpperCAmelCase													=					["train", "test[:33%]"]
															_UpperCAmelCase													=					[Split.TRAIN, ReadInstruction.from_spec("test[:33%]"				)]
															for instructions in [instructionsa, instructionsa]:
																					_UpperCAmelCase													=					[reader.read(snake_case__   ,   snake_case__   ,   snake_case__				) for instr in instructions]
																					_UpperCAmelCase							,			_UpperCAmelCase													=					(Dataset(**snake_case__				) 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   ,   snake_case__				)
																					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   ,   snake_case__				)
																					self.assertEqual(str(test_dset.split				)   ,   "test[:33%]"				)
																					del train_dset, test_dset







			def UpperCamelCase      (	self   :      Tuple				):




									"""simple docstring"""


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

									with tempfile.TemporaryDirectory() as tmp_dir:
															_UpperCAmelCase													=					ReaderTest(snake_case__   ,   snake_case__				)

															_UpperCAmelCase													=					"train[:33%]"
															_UpperCAmelCase													=					Dataset(**reader.read(snake_case__   ,   snake_case__   ,   snake_case__				)				)
															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 UpperCamelCase      (	self   :      Union[str, Any]				):




									"""simple docstring"""


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

									with tempfile.TemporaryDirectory() as tmp_dir:
															_UpperCAmelCase													=					ReaderTest(snake_case__   ,   snake_case__				)

															_UpperCAmelCase													=					[
															    {"filename": os.path.join(snake_case__   ,   "train"				)},
															    {"filename": os.path.join(snake_case__   ,   "test"				), "skip": 10, "take": 10},
															]
															_UpperCAmelCase													=					Dataset(**reader.read_files(snake_case__   ,   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 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_     ,   snake_case_						):

						'''simple docstring'''


						_UpperCAmelCase													=					arrow_file
						with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
												_UpperCAmelCase													=					ArrowReader.read_table(snake_case_     ,   in_memory=snake_case_						)
						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 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_     ,   snake_case_						):

						'''simple docstring'''


						_UpperCAmelCase													=					arrow_file
						_UpperCAmelCase													=					ArrowReader(""     ,   snake_case_						)
						with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
												_UpperCAmelCase													=					reader.read_files([{"filename": filename}]     ,   in_memory=snake_case_						)
						assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
						_UpperCAmelCase													=					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 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


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

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

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

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

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

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

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


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


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

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

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






@pytest.mark.parametrize("name, expected_exception"     ,   [(None, TypeError), ("", ValueError)]						)
def 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_						):

						'''simple docstring'''


						_UpperCAmelCase													=					[SplitInfo(name="train"     ,   num_examples=100						)]
						_UpperCAmelCase													=					"train"
						_UpperCAmelCase													=					"arrow"
						_UpperCAmelCase													=					"prefix_path"
						with pytest.raises(snake_case_						):
												_UpperCAmelCase													=					make_file_instructions(snake_case_     ,   snake_case_     ,   snake_case_     ,   snake_case_     ,   snake_case_						)










from __future__ import annotations

from abc import abstractmethod
from collections.abc import Iterable
from typing import Generic, Protocol, TypeVar






class    __lowerCAmelCase			(	UpperCAmelCase__			):







			@abstractmethod
			def __lt__(	self   :      T   ,   snake_case__   :      T				):




									"""simple docstring"""


									pass







			@abstractmethod
			def __gt__(	self   :      T   ,   snake_case__   :      T				):




									"""simple docstring"""


									pass







			@abstractmethod
			def __eq__(	self   :      T   ,   snake_case__   :      object				):




									"""simple docstring"""


									pass




lowercase_     :    Tuple      =			TypeVar('T', bound=Comparable)






class    __lowerCAmelCase			(	Generic[T]			):







			def __init__(	self   :      Optional[int]				):




									"""simple docstring"""


									_UpperCAmelCase													=					[]
									_UpperCAmelCase													=					0







			def __repr__(	self   :      Dict				):




									"""simple docstring"""


									return str(self.h				)







			def UpperCamelCase      (	self   :      Optional[Any]   ,   snake_case__   :      int				):




									"""simple docstring"""


									if child_idx > 0:
															return (child_idx - 1) // 2
									return None







			def UpperCamelCase      (	self   :      Tuple   ,   snake_case__   :      int				):




									"""simple docstring"""


									_UpperCAmelCase													=					2 * parent_idx + 1
									if left_child_index < self.heap_size:
															return left_child_index
									return None







			def UpperCamelCase      (	self   :      Union[str, Any]   ,   snake_case__   :      int				):




									"""simple docstring"""


									_UpperCAmelCase													=					2 * parent_idx + 2
									if right_child_index < self.heap_size:
															return right_child_index
									return None







			def UpperCamelCase      (	self   :      Dict   ,   snake_case__   :      int				):




									"""simple docstring"""


									if index < self.heap_size:
															_UpperCAmelCase													=					index
															_UpperCAmelCase													=					self.left_child_idx(snake_case__				)
															_UpperCAmelCase													=					self.right_child_idx(snake_case__				)
															# check which child is larger than its parent
															if left_child is not None and self.h[left_child] > self.h[violation]:
																					_UpperCAmelCase													=					left_child
															if right_child is not None and self.h[right_child] > self.h[violation]:
																					_UpperCAmelCase													=					right_child
															# if violation indeed exists
															if violation != index:
																					# swap to fix the violation
																					_UpperCAmelCase							,			_UpperCAmelCase													=					self.h[index], self.h[violation]
																					# fix the subsequent violation recursively if any
																					self.max_heapify(snake_case__				)







			def UpperCamelCase      (	self   :      Tuple   ,   snake_case__   :      Iterable[T]				):




									"""simple docstring"""


									_UpperCAmelCase													=					list(snake_case__				)
									_UpperCAmelCase													=					len(self.h				)
									if self.heap_size > 1:
															# max_heapify from right to left but exclude leaves (last level)
															for i in range(self.heap_size // 2 - 1   ,   -1   ,   -1				):
																					self.max_heapify(snake_case__				)







			def UpperCamelCase      (	self   :      Tuple				):




									"""simple docstring"""


									if self.heap_size >= 2:
															_UpperCAmelCase													=					self.h[0]
															_UpperCAmelCase													=					self.h.pop(-1				)
															self.heap_size -= 1
															self.max_heapify(0				)
															return me
									elif self.heap_size == 1:
															self.heap_size -= 1
															return self.h.pop(-1				)
									else:
															raise Exception("Empty heap"				)







			def UpperCamelCase      (	self   :      str   ,   snake_case__   :      T				):




									"""simple docstring"""


									self.h.append(snake_case__				)
									_UpperCAmelCase													=					(self.heap_size - 1) // 2
									self.heap_size += 1
									while idx >= 0:
															self.max_heapify(snake_case__				)
															_UpperCAmelCase													=					(idx - 1) // 2







			def UpperCamelCase      (	self   :      Any				):




									"""simple docstring"""


									_UpperCAmelCase													=					self.heap_size
									for j in range(size - 1   ,   0   ,   -1				):
															_UpperCAmelCase							,			_UpperCAmelCase													=					self.h[j], self.h[0]
															self.heap_size -= 1
															self.max_heapify(0				)
									_UpperCAmelCase													=					size


if __name__ == "__main__":
				import doctest

				# run doc test
				doctest.testmod()

				# demo
				for unsorted in [
				    [0],
				    [2],
				    [3, 5],
				    [5, 3],
				    [5, 5],
				    [0, 0, 0, 0],
				    [1, 1, 1, 1],
				    [2, 2, 3, 5],
				    [0, 2, 2, 3, 5],
				    [2, 5, 3, 0, 2, 3, 0, 3],
				    [6, 1, 2, 7, 9, 3, 4, 5, 10, 8],
				    [1_03, 9, 1, 7, 11, 15, 25, 2_01, 2_09, 1_07, 5],
				    [-45, -2, -5],
				]:
								print(f"""unsorted array: {unsorted}""")

								lowercase_     :    Heap[int]      =			Heap()
								heap.build_max_heap(unsorted)
								print(f"""after build heap: {heap}""")

								print(f"""max value: {heap.extract_max()}""")
								print(f"""after max value removed: {heap}""")

								heap.insert(1_00)
								print(f"""after new value 100 inserted: {heap}""")

								heap.heap_sort()
								print(f"""heap-sorted array: {heap}\n""")




